ML Engineer Jobs in San Jose.
All active ML Engineer roles based in San Jose.
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Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the Team
The Recommendations team drives personalized experiences across our platform by leveraging state-of-the-art machine learning. Our mission is to deliver meaningful, context-aware recommendations that adapt to each user's preferences in real time. We believe that true innovation in personalization requires more than great models—it depends on a robust, flexible ML platform built for experimentation and scale. To that end, we design and build the underlying ML infrastructure, ensuring our systems remain fast, reliable, and at the forefront of technology. Our work blends innovation, engineering excellence, and a deep commitment to understanding our users, shaping how they discover and engage with content every day.
About the Role
We seek an outstanding, creative, and passionate Machine Learning Platform Engineer to join Roku's Recommendation team. In this role, you will design, build, and scale robust distributed systems that power the next generation of personalized content recommendations for millions of Roku users. You will focus on developing end-to-end machine learning platforms and infrastructure, ensuring seamless deployment, monitoring, and optimization of algorithms and operational workflows that deliver unique experiences at scale.
For California Only - The estimated annual salary for this position is between $229,500 - $367,100 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.
What You'll Be Doing
- Design, build, and maintain scalable platform services: feature store, real-time inference services, vector DBs etc., that serve millions of transactions per second
- Run and monitor online AB tests via robust platform services, analyzing platform metrics and business KPIs to optimize recommendation system performance
- Collaborate closely with US-based engineering and cross-functional teams to translate business requirements into modular platform components and APIs
- Enhance and evolve the ML platform ecosystem to support high developer velocity, system scalability, and adaptability to future business needs
- Contribute to onboarding, training, and mentoring new team members on emerging platform engineering best practices and technologies
We’re Excited If You Have
- 5+ years of experience building software solutions to concrete problems
- Strong CS fundamentals. Should be able to write an algorithm with ease
- You are fluent with one of high-level programming languages like Java, Scala, Kotlin or Python
- We’d love to see that you’ve worked with big data systems (Spark, Kafka, Flink, S3, AirFlow)
- Familiar with model ML framework and tools: Ray, PyTorch, HuggingFace, AWS Sagemaker
- AI literacy and curiosity. You have either tried Gen AI in your previous work or outside of work or are curious about Gen AI and have explored it.
- MS in Computer Science or related field
#LI-SSC
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Senior Software Engineer, Cloud Content Platform
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Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the team
Roku pioneered streaming to the TV and continues to innovate and lead the industry. While we are well-positioned to help shape the future of television – including TV advertising – around the world, continued success relies on its investment in our machine learning capabilities. Roku offers millions of options to our users: movies, episodes, news, sports, and channels from all around the world. The Roku Content Platform is key to onboarding content into the Roku ecosystem, delighting our customers. Building a content knowledge platform that provides insights to downstream systems like Search, Recommendations, Ads, and Voice to shape customers' experiences.
About the role
We are seeking a highly experienced and skilled Lead Engineer to join our backend and data team. This role is crucial for designing, building, and optimizing distributed data pipelines, real-time data processing systems, and backend solutions that effectively handle large-scale data. The ideal candidate will have deep expertise in Java, distributed systems, and big data technologies, and a passion for solving complex problems and delivering robust solutions. We’re always in “build mode” because we’re a company of data-focused builders. Every day, you’ll look at what exists and find ways to make it better and help drive innovation.
For California Only - The estimated annual base salary for this position is between $300,000 - $360,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.
What you’ll be doing
- Define architecture and technical strategy, ensuring scalability, reliability, and performance at scale
- Provide technical guidance, conduct code reviews, and mentor engineers to elevate team capabilities and foster engineering excellence
- Design and implement robust distributed systems, streaming solutions, content management systems, APIs, and data pipelines that handle high-volume content operations
- Partner with Product, Operations, Business, and other engineering teams to deliver integrated solutions
- Remain significantly hands-on with critical features and architectural components
- Drive technical planning, prioritization, and execution aligned with business objectives
- Act as a key technical partner to the Engineering Manager in driving team success and technical decisions
- Champion a culture of innovation, technical excellence, and continuous. improvement; establish engineering best practices
- Lead efforts in monitoring, observability, performance optimization, and production reliability at scale
We're excited if you have
- 10+ years of software engineering experience with significant time in technical leadership roles
- Proven expertise in building scalable, distributed, and streaming solutions in production environments
- Deep experience with content management systems, media processing, or publishing platforms
- Expert-level proficiency in Java or Scala required; Python experience is a strong plus
- Strong expertise in distributed systems architecture, microservices, and event-driven architectures
- Deep understanding of streaming technologies (Kafka, Redpanda, or similar
- Advanced knowledge of databases (SQL/NoSQL), vector databases (eg, Milvus), caching strategies, and data modeling at scale
- Track record of leading complex technical projects from conception to production in high-scale environments
- Excellent communication skills and ability to influence technical decisions across teams and organizations
- Experience with cloud platforms (AWS, GCP, or Azure) at enterprise scale
- Extensive experience with containerization and orchestration (Docker, Kubernetes
- Experience with search technologies (Elasticsearch, Solr, etc) or recommendation systems
#LI-SB-5
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the team
Roku pioneered in developing operating system for TVs. Tv Technology team within Roku TV NPI group is focused on building TVs with best Audio Quality , Picture Quality and Enable innovation technology.
With tens of million TVs sold across many countries, thousands of streaming channels and billions of hours watched over the Roku TVs, having best Audio Quality & Picture Quality is crucial.
About the role
We are looking for a creative and passionate Machine Learning (ML) / Deep Learning (DL) Engineer to join the Roku TV team. You will explore Picture Quality (PQ) and Audio Quality (AQ) improvements using AI in a resource-constrained environment, pushing the limits of what is possible in TV technology. Additionally, this role will involve applying state-of-the-art ML techniques to different PQ and AQ related tasks. You will play a critical role in building scalable systems and algorithms that enhance streaming experiences for millions of users worldwide.
For California Only - The estimated annual salary for this position is between $135,000 - $185,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.
What you’ll be doing
- Explore and implement AI-driven Picture Quality and Audio Quality improvements for Roku TV
- Apply advanced ML techniques in the optimization of models to enhance video and audio processing pipelines
- Research, understand, and implement technical papers on ML/DL to solve complex challenges
- Collaborate with engineering teams and cross-functional partners to translate business requirements into technical solutions
- Run experiments and analyze results against critical business KPIs
We’re Excited If You Have
- 1+ years of experience applying Machine Learning to concrete problems at scale
- Strong CS fundamentals; ability to write efficient algorithms with ease
- Hands-on experience with Machine Learning / Deep Learning frameworks like TensorFlow or PyTorch
- Proficiency in coding firmware development using C++
- Proficiency in coding ML/DL algorithms using Python
- Solid understanding of DL fundamentals, including RNN, CNN, and multi-modal models
- Familiarity with video processing pipelines and audio pipelines
- AI literacy and curiosity—whether through previous work or personal exploration
- Excellent communication skills, strong work ethic, and works with minimum supervision
- Have hands-on experience with edge devices like jetson nano, kadas, and similar
- Research background preferred; ability to understand and implement technical papers on ML/DL
- Published papers in the field of ML/DL are a bonus
- Hold an MS or PhD in Computer Science, Electrical Engineering, or related fields - Preferred
#LI-DH2
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the team
Join the Home Screen team — the engineers behind Roku's home screen and the experiences that greet every Roku user the moment they turn on their TV. Our work ships to hundreds of millions of devices worldwide.
We move fast and hold a high bar. Engineers on this team own features end-to-end — from the OS platform layer through BrightScript/SceneGraph UI to cloud integration — and collaborate closely with product, design, and cross-functional engineering partners to bring ambitious ideas to production at scale.
About the role
We are looking for a Senior Software Engineer to take deep ownership of the OS UI platform that powers the Roku home screen and Browse Surfaces. You will drive architecture and delivery across the OS client stack: SceneGraph component framework, performance and memory optimization, and the user-facing experiences built on top of it.
For California Only - The estimated annual base salary for this position is between $370,000 - $400,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.
What you'll be doing
- Architect and implement features across the Roku home screen & Browse Surfaces, through SceneGraph UI to cloud-backed content experiences
- Drive performance, memory efficiency, and reliability of the home screen on constrained embedded hardware
- Own features end-to-end: design, implementation, testing, and production rollout to hundreds of millions of devices
- Collaborate with UI/UX design, product management, and cloud engineering teams to define and deliver new user experiences, including AI-driven features
- Mentor engineers, establish technical standards, and evangelize best practices across the team
- Investigate and resolve complex platform issues affecting millions of users
We're excited if you have
- 7+ years of software engineering experience, with significant time in embedded or consumer electronics environments
- Deep proficiency in C++ and/or BrightScript/SceneGraph/TypeScript (or equivalent TV platform SDK experience)
- Proven track record in architecting and shipping features on constrained embedded platforms (memory, CPU, GPU)
- Strong understanding of multi-threaded development, concurrency, and real-time programming
- Experience building and shipping UI experiences on embedded or consumer electronics platforms
- Knowledge of Linux operating systems and system-level debugging
- Experience with API design and cross-team integration
- Familiarity with AI/ML and LLM technologies, with interest in applying them to content and UI experiences
- Strong communication skills — this role involves frequent collaboration across engineering, product, and design
- B.S. or M.S. in Computer Science or equivalent engineering experience
#LI-SG1
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the role
As part of Enterprise Engineering, the Workday Recruiting/Talent Acquisition Engineer sets the bar for technical excellence and innovation across our Talent Acquisition platform—driving configuration strategy, automation, integration optimization, and continuous validation at scale. You'll bring deep Workday Recruiting and ATS functional knowledge, combined with strong engineering capabilities, applying technical rigor to the configuration, data management, and testing of an enterprise-grade recruiting system in a fast-paced, high-volume hiring environment.
Scope includes Workday Recruiting, Advanced Recruiting, Candidate Experience (Career Site), ATS Tech Stack (HiredScore, Paradox, iCIMS integration), Talent Acquisition processes, Onboarding, and recruiting analytics/reporting. You'll build robust, scalable automated solutions and manage the quality lifecycle in our Workday Recruiting ecosystem, ensuring compliance, data integrity, candidate experience excellence, and recruitment efficiency requirements for a rapidly growing company.
For California Only - The estimated annual salary for this position is between $132,600 - $191,250 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.
What you'll be doing
- Design and own the end-to-end Workday Recruiting configuration and integration strategy for Recruiting, Advanced Recruiting, Career Site, ATS integrations (HiredScore, Paradox), Onboarding, and Talent Acquisition workflows—balancing technical excellence with speed to delivery and optimal candidate experience.
- Build, maintain, and scale Workday Recruiting configurations, including job requisition templates, candidate pipelines, offer management, background check integrations, recruiting events, interview scheduling, and agency portal functionality; ensure seamless data flow across systems.
- Design and implement comprehensive automated test coverage for recruiting processes using Tricentis Tosca or similar tools; manage test execution and traceability in qTest; integrate results into CI/CD pipelines for continuous quality validation.
- Create reusable configuration frameworks and templates (job req templates, screening questions, candidate evaluation forms, offer letter templates, recruiting business process steps) that standardize processes, reduce configuration time, and improve system reliability.
- Drive API-level and end-to-end integration testing across the Talent Acquisition ecosystem (e.g., requisition creation to hire, candidate sourcing, screening workflows, offer approval, background checks, I-9 verification, onboarding handoff to HCM), including third-party vendor integrations and Workday web services.
- Validate Workday Recruiting Extend apps, custom objects, and advanced configurations to ensure functional correctness, security, accessibility, compliance (OFCCP, EEOC), and performance under high-volume recruiting loads.
- Establish recruiting-specific quality metrics, dashboards, and reporting (including time-to-fill, candidate conversion rates, system uptime, integration success rates, configuration coverage, defect density) that enable data-driven decision-making and continuous improvement.
- Champion candidate experience excellence: partner with Recruiting, Employer Branding, and TA Operations teams to optimize career site performance, mobile responsiveness, application completion rates, and candidate communication workflows.
- Lead technical design reviews and configuration governance for recruiting process changes, partner with Workday Recruiting Consultants, Integration Engineers, and HRIS teams on design patterns and apply configuration best practices to recruiting assets.
- Drive root cause analysis and systemic improvements across recruiting data quality, process bottlenecks, integration failures, and user experience issues; continuously optimize configuration efficiency and recruiting operations effectiveness.
- Collaborate closely with Talent Acquisition, Recruiting Operations, HR Technology, Compliance, DEI, People Analytics, and vendor partners (HiredScore, Paradox, background check providers) to align technical solutions with business priorities, hiring goals, and regulatory requirements.
- Manage Workday Recruiting roadmap alignment with bi-annual releases and feature updates; evaluate new Recruiting functionality, lead pilot programs, and drive adoption of innovations that enhance recruiter productivity and candidate experience.
We're excited if you have
- 6+ years with SaaS/Cloud HR technology and significant hands-on Workday Recruiting experience across requisition management, candidate management, offer management, career site configuration, recruiting analytics, and ATS integrations.
- Deep functional expertise in Talent Acquisition processes, including high-volume recruiting, executive search, agency management, candidate sourcing, interview management, offer workflows, background checks, and onboarding transitions.
- Strong technical skills in Workday Recruiting configuration, Calculated Fields, Workday Studio, or EIB for data management, integration troubleshooting (Web Services, RaaS reports), and understanding of API-based recruiting technology ecosystems.
- Experience with recruiting automation tools such as HiredScore, Paradox (conversational AI), scheduling tools, CRM platforms, and modern ATS integrations.
- Test automation and quality engineering experience with tools like Tricentis Tosca, Selenium, or similar; ability to design and maintain automated regression suites for recruiting workflows.
- Data-driven mindset with experience building recruiting analytics, dashboards (Workday Reports, Prism), and using data to optimize funnel conversion, process efficiency, and candidate experience.
- Understanding of recruiting compliance requirements, including OFCCP, EEOC, GDPR, accessibility standards (WCAG), and ability to configure systems to meet regulatory obligations.
- Strong stakeholder management and communication skills; ability to translate complex technical concepts for recruiting leaders and translate business requirements into technical solutions.
- Experience managing or contributing to enterprise-scale Workday implementations or transformations; familiarity with Agile/Scrum methodologies and DevOps practices.
- Passion for candidate experience and recruiting innovation; stays current on recruiting technology trends, AI/ML applications in talent acquisition, and Workday Recruiting product roadmap.
#LI-SR2
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the role
Roku pioneered streaming to the TV and continues to innovate and lead the industry. While we are well-positioned to help shape the future of television and streaming media around the world, continued success depends on experienced embedded software engineers like you joining the Roku OS Streaming Media team.
In this role, you will be part of the team that's responsible for Roku’s Media engine, implementing new features and designing algorithms that deliver flawless video playback to all our users. This includes optimizing network interactions between our players and CDN, implementing adaptive streaming stacks, integrating DRM systems, and developing tools to monitor performance.
The features and performance improvements you implement directly impact millions of users every day. This is a great role for an experienced professional with innovative ideas for complex problems and the ability to translate them into ultra-reliable software.
For California Only - The estimated annual salary for this position is between $197,900 - $270,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.
What you'll be doing
- Extend Roku's player feature set to support new business opportunities and the latest multimedia specifications
- Continuously improve playback on Roku devices, and deliver our users a world-class player experience under all operating conditions
- Work independently and in small groups to deliver new features and functionality on-time
- Demonstrate excellence in C++ & Python development and deliver high-performance, ultra-reliable software
- Demonstrate impeccable software design skills, make extensive changes to an existing C++ code base that are modular and easy to maintain
- Demonstrate the ability to dig deep to find solutions to tough problems affecting our users
We're excited if you have
- 2 – 5 years of relevant software development experience
- Bachelor’s or master’s in computer science or equivalent engineering experience.
- Extensive programming experience with C++ and Python
- Proven track record of success with embedded system development projects and Linux operating systems.
- Deep understanding of multi-threaded development and concurrency management.
- Experience in API design and developing portable code.
- Been able to accurately estimate software tasks and work to schedule.
- Architected, implemented, and tested systems for performance & low resource consumption.
- A good understanding of open source development
- A familiarity with AI/ML and LLM technologies.
- Experience with other consumer electronics OS’es (e.g. Android, FreeRTOS)
- Knowledge of TCP/IP, TLS, HTTP, DRM technologies like PlayReady, Widevine and streaming protocols such as WebRTC, HLS, and/or DASH is important.
- Experience working with video (H.264, H.265, AV1) & audio (aac, ac3) codecs.
#LI-SR2
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
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Archer is an aerospace company based in San Jose, California building an all-electric vertical takeoff and landing aircraft with a mission to advance the benefits of sustainable air mobility. We are designing, manufacturing, and operating an all-electric aircraft that can carry four passengers while producing minimal noise.
Our sights are set high and our problems are hard, and we believe that diversity in the workplace is what makes us smarter, drives better insights, and will ultimately lift us all to success. We are dedicated to cultivating an equitable and inclusive environment that embraces our differences, and supports and celebrates all of our team members.
We are seeking a highly motivated and experienced Senior FinOps Engineer to join our team. This role is central to managing, optimizing, and forecasting our technology spending across multiple platforms, including major cloud providers, monitoring tools (like Datadog), and emerging technologies such as Large Language Models (LLMs). The ideal candidate will possess a strong blend of financial acumen, cloud engineering expertise, and excellent communication skills to drive cost-conscious decision-making across the organization.
Responsibilities
Financial Management and Optimization
- Monitor, analyze, and report on technology spending across various cost centers, including cloud infrastructure (AWS, Azure, GCP, etc.), Datadog licensing, and usage of LLM APIs/services.
- Develop and maintain detailed monthly financial reports and dashboards for leadership, providing clear insights into spend trends, variances, and optimization opportunities.
- Collaborate with engineering and product teams to implement cost-saving initiatives, such as identifying underutilized resources, negotiating reserved instance commitments, and optimizing service architectures.
- Establish and track key FinOps metrics (e.g., unit cost, utilization rate, efficiency gains) and drive accountability for spending.
- Conduct monthly deep-dive analyses on significant cost drivers, making actionable recommendations for adjustment and optimization.
Tooling, Reporting, and Automation
- Administer and configure FinOps tools and platforms to ensure accurate cost allocation, showback/chargeback mechanisms, and real-time visibility into spending.
- Develop and maintain custom scripts and automation workflows to enforce spending policies and manage resource lifecycles (e.g., auto-shutdown of non-production environments).
- Standardize and streamline reporting processes, leveraging data visualization tools to present complex financial data simply and effectively.
Vendor and Contract Management
- Assist in the evaluation, negotiation, and renewal processes for technology contracts, including cloud enterprise agreements, Datadog licenses, and LLM service subscriptions.
- Work closely with procurement and legal teams to ensure contracts align with business needs and financial objectives, focusing on optimal pricing and usage tiers.
- Monitor vendor performance against contractual agreements and track realization of anticipated savings.
Governance and Education
- Establish and champion FinOps best practices and governance frameworks across engineering and finance teams.
- Develop and deliver training and documentation to educate teams on cost management tools, cloud pricing models, and optimization techniques.
- Act as a central point of contact for all cloud, Datadog, and LLM spending inquiries.
Qualifications
Required Skills and Experience
- 3+ years of experience in a FinOps, Cloud Financial Management, or similar role.
- Deep understanding of major public cloud billing and pricing models (AWS, Azure, or GCP).
- Proven ability to build and maintain comprehensive financial reports and dashboards for executive leadership.
- Experience administering or utilizing cost monitoring and observability tools, with specific knowledge of Datadog usage/licensing preferred.
- Proficiency in data analysis tools (e.g., SQL, Python, Excel) and data visualization platforms (e.g., Tableau, Power BI, Looker).
- Familiarity with contract negotiation principles and vendor management processes.
- Strong communication skills, with the ability to translate technical cost data into clear business terms.
Desired Qualifications
- FinOps Certified Practitioner (FOCP) or FinOps Certified Professional certification.
- Experience managing costs related to machine learning, AI, or LLM services (e.g., OpenAI, Anthropic, or cloud-native LLM services).
- Familiarity with Infrastructure as Code (IaC) tools (e.g., Terraform, CloudFormation) and their role in cost governance.
- Bachelor’s degree in Computer Science, Finance, Business, or a related quantitative field.
Successful candidates must be able to demonstrate U.S. citizenship, permanent residency, or status as a protected individual to satisfy ITAR, contractual, and/or regulatory requirements.
Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications.
At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $133,400 - $200,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.
Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.
Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.
Information collected and processed as part of any job applications you choose to submit is subject to Archer's Candidate Privacy Policy.
Archer is unable to provide work visa sponsorship for this position at the present time.
Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.
Archer Aviation does not engage with external recruiting agencies/individual recruiters with whom it does not have a prior written agreement. Archer reserves the right to make use of any unsolicited resumes that it receives and bears no responsibility for payment of any fees asserted from the use of unsolicited resumes. If you are a recruiting agency or individual recruiter wishing to do business with Archer, please reach out to People@archer.com. All employment processes are managed by the Archer People Team.
Ready to apply?
Apply to Archer
Archer is an aerospace company based in San Jose, California building an all-electric vertical takeoff and landing aircraft with a mission to advance the benefits of sustainable air mobility. We are designing, manufacturing, and operating an all-electric aircraft that can carry four passengers while producing minimal noise.
Our sights are set high and our problems are hard, and we believe that diversity in the workplace is what makes us smarter, drives better insights, and will ultimately lift us all to success. We are dedicated to cultivating an equitable and inclusive environment that embraces our differences, and supports and celebrates all of our team members.
As a Senior DevOps Engineer, you will be a key contributor to our infrastructure strategy, focusing on automation, stability, and performance across both cloud and on-premise environments. You will drive best practices in CI/CD, configuration management, and monitoring, with a specific focus on optimizing the deployment and operation of large language models (LLMs) and related technologies.
Responsibilities
- Design, deploy, and manage highly available, scalable infrastructure using Kubernetes and Docker across public cloud (e.g., AWS, GCP, Azure) and on-premise data centers.
- Develop and maintain robust Configuration Management solutions (e.g., Ansible, Terraform) for consistent environment provisioning and management.
- Implement and manage CI/CD pipelines to facilitate rapid, reliable, and automated software releases.
- Administer and troubleshoot operating systems, encompassing both Linux and Windows environments.
- Implement and optimize observability practices using monitoring tools like Datadog for logging, tracing, and alerting.
- Spearhead the operational deployment, scaling, and maintenance of LLM infrastructure, leveraging tools like LiteLLM, OpenRouter, or similar LLM orchestration/gateway technologies.
- Automate repetitive tasks and system operations using scripting languages, primarily Bash and Python.
- Collaborate closely with development, MLOps, and security teams to ensure infrastructure supports product requirements and compliance standards.
- Participate in an on-call rotation to ensure service reliability and responsiveness to incidents.
Qualifications
Required Skills
- 5+ years of professional experience in a DevOps, SRE, or infrastructure engineering role.
- Deep expertise in containerization and orchestration, specifically Kubernetes (design, deployment, and troubleshooting) and Docker.
- Strong proficiency in managing infrastructure in both Cloud (e.g., AWS, GCP, Azure) and On-Premise environments.
- Expert-level administration skills in Linux and strong working knowledge of Windows Server environments.
- Proven experience with Infrastructure as Code (IaC) and Configuration Management tools (e.g., Terraform, Ansible).
- High proficiency in scripting and automation using Python and Bash.
- Extensive experience with monitoring and observability platforms, especially Datadog (or comparable tools like Prometheus/Grafana, New Relic).
- Hands-on experience deploying and managing technologies related to Large Language Models (LLMs), such as utilizing LiteLLM, OpenRouter, or setting up and managing LLM serving endpoints.
Nice-to-Have Skills
- Experience with specific Kubernetes distributions (e.g., K3s, Rancher, OpenShift).
- Familiarity with network configuration, firewalls, and security best practices for hybrid environments.
- Experience in MLOps workflows and related tools (e.g., MLflow, Kubeflow).
- Certifications such as CKA, CKAD, or relevant cloud provider certifications.
Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications
At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $133,400 - $200,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.
Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws. Successful candidates must be able to demonstrate U.S. citizenship, permanent residency, or status as a protected individual to satisfy ITAR, contractual, and/or regulatory requirements.
Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.
Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.
Information collected and processed as part of any job applications you choose to submit is subject to Archer's Candidate Privacy Policy.
Archer is unable to provide work visa sponsorship for this position at the present time.
Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.
Archer Aviation does not engage with external recruiting agencies/individual recruiters with whom it does not have a prior written agreement. Archer reserves the right to make use of any unsolicited resumes that it receives and bears no responsibility for payment of any fees asserted from the use of unsolicited resumes. If you are a recruiting agency or individual recruiter wishing to do business with Archer, please reach out to People@archer.com. All employment processes are managed by the Archer People Team.
Ready to apply?
Apply to Archer
Sr Staff Engineer, Data Infrastructure
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Archer is an aerospace company based in San Jose, California building an all-electric vertical takeoff and landing aircraft with a mission to advance the benefits of sustainable air mobility. We are designing, manufacturing, and operating an all-electric aircraft that can carry four passengers while producing minimal noise.
Our sights are set high and our problems are hard, and we believe that diversity in the workplace is what makes us smarter, drives better insights, and will ultimately lift us all to success. We are dedicated to cultivating an equitable and inclusive environment that embraces our differences, and supports and celebrates all of our team members.
We are looking for a heavy-hitter to build the "Data Backbone" of our company. You will be responsible for the architecture, scaling, and reliability of the infrastructure that powers our Data Engineering and ML teams. Your goal is to provide a seamless, self-service environment where data scientists can go from a JupyterHub notebook to a massive Ray cluster or Trino query without worrying about the underlying hardware.
Responsibilities
- Data Plane Ownership: Architect and manage the lifecycle of high-throughput data tools including Trino, Ray, and JupyterHub on Kubernetes.
- GitOps & Automation: Drive a "zero-manual-touch" philosophy using ArgoCD and Terraform to manage complex, stateful data environments.
- Observability at Scale: Build high-cardinality monitoring systems using VictoriaMetrics and Vector to track pipeline health, data ingestion rates, and system performance.
- ML Lifecycle Support: Maintain and optimize MLflow for model tracking, ensuring it integrates deeply with our compute and storage layers.
- Engineering Sovereignty: As a self-starter, you will identify performance bottlenecks in data processing and proactively implement infrastructure-level optimizations.
- Reliability: Participate in on-call rotations for the data stack, treating "data downtime" with the same urgency as a site outage.
The Technical Toolkit
|
Focus Area |
Technologies |
|
Orchestration |
Kubernetes Expert (Scheduling, Affinity, Local NVMe, Resource Quotas). |
|
Data Compute |
Deep experience with Trino (Presto) and Ray (Head/Worker patterns). |
|
Stream & Logs |
High-performance routing via Vector and monitoring with VictoriaMetrics. |
|
AI/ML Tooling |
MLflow and JupyterHub (Zero-to-JupyterHub on K8s). |
|
Code & Deploy |
Terraform (Advanced modules) and ArgoCD (ApplicationSets/Blue-Green). |
Qualifications:
- The "Data-Aware" Engineer: You understand that scaling a database or a Ray cluster is different from scaling a stateless API. You know how to handle persistent volumes and data gravity.
- Senior Leadership: You’ve spent time in the trenches. You’ve been on-call for 2:00 AM outages and have built the automation to ensure those outages never happen twice.
- Tooling Polyglot: You don't just use tools; you contribute to them. You are comfortable writing Go or Python to extend Kubernetes Operators or automate data workflows.
- Self-Directed: You thrive in ambiguity. You can take a high-level requirement ("Make Trino faster") and turn it into a multi-week infrastructure roadmap.
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Successful candidates must be able to demonstrate U.S. citizenship, permanent residency, or status as a protected individual to satisfy ITAR, contractual, and/or regulatory requirements.
Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications
At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $182,400 - $228,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.
Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.
Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.
Information collected and processed as part of any job applications you choose to submit is subject to Archer's Candidate Privacy Policy.
Archer is unable to provide work visa sponsorship for this position at the present time.
Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.
Archer Aviation does not engage with external recruiting agencies/individual recruiters with whom it does not have a prior written agreement. Archer reserves the right to make use of any unsolicited resumes that it receives and bears no responsibility for payment of any fees asserted from the use of unsolicited resumes. If you are a recruiting agency or individual recruiter wishing to do business with Archer, please reach out to People@archer.com. All employment processes are managed by the Archer People Team.
Ready to apply?
Apply to Archer
Staff Engineer, IP Design (ASIC)
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About the Company:
At SK Hynix Memory Solution, we're at the forefront of semiconductor innovation, developing advanced memory solutions that power everything from smartphones to data centers. As a global leader in DRAM and NAND flash technologies, we drive the evolution of advancing mobile technology, empowering cloud computing, and pioneering future technologies. Our cutting-edge memory technologies are essential in today's most advanced electronic devices and IT infrastructure, enabling enhanced performance and user experiences across the digital landscape.
We're looking for innovative minds to join our mission of shaping the future of technology. At SK Hynix Memory, you'll be part of a team that's pioneering breakthrough memory solutions while maintaining a strong commitment to sustainability. We're not just adapting to technological change – we're driving it, with significant investments in artificial intelligence, machine learning, and eco-friendly solutions and operational practices. As we continue to expand our market presence and push the boundaries of what's possible in semiconductor technology, we invite you to be part of our journey to creating the next generation of memory solutions that will define the future of computing.
About The Role
You will join the System on Chip (SoC) Design Team at SK hynix memory solutions America, a group dedicated to delivering best-in-class controllers for high-performance SSDs. This team spans the full design cycle—from micro-architecture and RTL design to timing closure and tapeout readiness—enabling next-generation enterprise and AI data center storage solutions.
Responsibilities
- RTL design (Verilog/SystemVerilog) for IP based on existing module or new specifications.
- Collaborate, create clear documentation and communication with Design Verification, Silicon Validation, and Firmware teams to ensure design quality.
Minimum Qualifications
- Education: Bachelor’s degree in Electrical Engineering, Computer Engineering, or related field.
- Experience: 6+ years of hands-on experience in ASIC/SoC design.
- Proficiency in logic design and micro-architecture; RTL coding in Verilog and/or SystemVerilog language.
- Experience with Lint, CDC, synthesis, power analysis and DV coverage tool.
Preferred Qualifications
- Advanced Education: Master’s or PhD in Electrical Engineering with working experiences.
- Domain Knowledge: NAND Flash, memory controller, datapath design, NVMe, PCIe, UCIe, DDR, CPU subsystem, Network Interconnect, AMBA, error correction code.
- Proficiency in AI tool to generate synthesizable and functional RTL code.
- Knowledge of design verification approaches to enhance verification coverage.
REGARDING COMPENSATION:
SK hynix memory solutions America Inc. offers you the opportunity to apply your skills to exciting projects while working with innovative teams. Our compensation package is complimented by a generous benefits package including medical, dental, vision, life insurance and a company 401(k) match, as well as cafeteria, onsite gym and much more. If you are motivated by technical challenges, we offer a collaborative work environment that encourages career growth.
The salary offered to a selected candidate will be tailored based on several factors, including the location, job grade, relevant knowledge, skills, and experience. We also take into account the internal equity among our current team members to ensure fairness and competitiveness.
Ready to apply?
Apply to SK hynix memory solutions America Inc.
Senior / Staff System Validation Engineer
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Astera Labs (NASDAQ: ALAB) provides rack-scale AI infrastructure through purpose-built connectivity solutions. By collaborating with hyperscalers and ecosystem partners, Astera Labs enables organizations to unlock the full potential of modern AI. Astera Labs’ Intelligent Connectivity Platform integrates CXL®, Ethernet, NVLink, PCIe®, and UALink™ semiconductor-based technologies with the company’s COSMOS software suite to unify diverse components into cohesive, flexible systems that deliver end-to-end scale-up, and scale-out connectivity. The company’s custom connectivity solutions business complements its standards-based portfolio, enabling customers to deploy tailored architectures to meet their unique infrastructure requirements. Discover more at www.asteralabs.com.
Job Description
- Develop and perform system validation tests using leading-edge Data Center equipment and scalable automation platforms. The validation team holds customers’ system requirements in the highest regard and is solely responsible for certifying a product’s conformance to this high bar.
- Understand the performance and functionality requirements our AI fabric Switches must deliver to enable customers developing Data Center systems using Astera Labs’ game-changing portfolio of connectivity products for Artificial Intelligence and Machine Learning applications.
- Formulate a comprehensive validation plan for AI fabric switch products. automate the testing of ICs and board products in a data-centric manner, design experiments to root-cause unexpected behavior, report results and specification compliance in an automated fashion.
- Work with key customers directly to understand their care-abouts and highlight the unique capabilities and performance of Astera Labs’ solutions.
Basic Qualifications
- Strong academic and technical background in Electrical or Computer Engineering. At a minimum, a Bachelor’s is required, and a Master’s is preferred.
- ≥3 years' experience supporting or developing complex SoC/silicon products for Server, Storage, and/or Networking applications.
- Basic understanding of x86/ARM architecture, UEFI/Linux boot sequence.
- Good understanding of High Speed Signaling Principles.
- Professional attitude with the ability to prioritize a dynamic list of multiple tasks, to plan and prepare for customer/internal meetings in advance, and to work with minimal guidance and supervision.
- Entrepreneurial, open-mind behavior and can-do attitude. Think and act with the customer in mind!
Required Experience
- Hands-on, thorough knowledge of high-speed protocols like PCIe, CXL, NVMe, or Ethernet.
- Experience with Silicon/System bring-up, validation, and debug experience, including in customer systems.
- A strong background in developing bench automation techniques, especially using Python, with emphasis on execution efficiency, repeatability, data analysis and reporting.
- Experience with lab equipment including protocol analyzers, in-circuit debuggers, and CPU-based tool suites.
- Ability to work on multiple projects.
Preferred Experience
- Working knowledge of C or C++ for embedded FW and device drivers.
- Familiarity with PCIe compliance standards and ability to follow and be involved in compliance consortiums to adapt the tests to be run from X86/ARM based platforms.
- Knowledge of schematic capture and PCB layout tools from Cadence Allegro, Altium, etc.
- Exceptional interpersonal and collaboration skills, with a proven track record of effectively leading, influencing, and navigating complex matrixed environments.
Your base salary will be determined based on your experience and the pay of employees in similar positions. The base salary range is $135,000 USD - $165,000 USD for Senior Level, and $160,000 USD - $195,000 USD for Staff Level.
We know that creativity and innovation happen more often when teams include diverse ideas, backgrounds, and experiences, and we actively encourage everyone with relevant experience to apply, including people of color, LGBTQ+ and non-binary people, veterans, parents, and individuals with disabilities.
Ready to apply?
Apply to Astera LabsArcher is an aerospace company based in San Jose, California building an all-electric vertical takeoff and landing aircraft with a mission to advance the benefits of sustainable air mobility. We are designing, manufacturing, and operating an all-electric aircraft that can carry four passengers while producing minimal noise.
Our sights are set high and our problems are hard, and we believe that diversity in the workplace is what makes us smarter, drives better insights, and will ultimately lift us all to success. We are dedicated to cultivating an equitable and inclusive environment that embraces our differences, and supports and celebrates all of our team members.
We are looking for 0 to 1 Software Engineers to join an elite team that is building out Archer’s Airline Operations Software Ecosystem. Engineers who have built and shipped multiple products across disciplines and languages are encouraged to apply. Experience with backend development combined with AI-focused front-end development is especially valued.
This role is 10-days a month in-person at our HQ in San Jose, CA.
What You'll Do:
- Build Great Software: Take product requirements and turn them into beautiful, reliable, and high quality web and mobile applications
- Create and manage backend infrastructure including building database schemas, API architecture, orchestration services, and refining architecture
- Product Development: Lead end-to-end technical execution and receive full ownership of the software development lifecycle
- System Architecture: Design and implement the architecture and tech stack that will serve as the backbone for our platform while balancing scalability, speed, and reliability
Contribute to the Roadmap: Ideate, plan, and prototype technical tools for aircraft performance and dispatch settings - Work Cross-Functionally: Work with design, data science, and technical aviation experts to supercharge the features and products you are working on
- Knowledge of Code-Generation: Use the latest code-generation technologies to streamline your workflow and achieve breakthrough productivity
- AI-Native Product Building: Implement and productize novel machine learning and deep learning algorithms developed by our AI/ML research team
What You Need:
- Minimum of 5 Years of post-college work or entrepreneurial experience
- 4-Year College Degree in an Engineering Discipline (or multiple pieces of evidence of outstanding individual technical achievement)
- Evidence of End-End Product Ownership: Experience building all parts of software from front-end to back-end to cloud deployment
- Personal Projects: Rich Github history with examples of personal projects that can be shared with the hiring team and/or open-source contributions
- Technologies: Next.JS, Java Script, React, React Native, Python, Fast API, PostGres
- Design: Ability to create intuitive, clean, and professional products without a dedicated designer or design system
- AI: Strong understanding of how to implement and train AI systems into SaaS products and willingness to learn and adapt to building voice agent
- Infrastructure: Familiarity with building server-less & micro-service in popular cloud hyperscalers and managing production grade CI/CD pipelines
- Adaptability: Quickly and iteratively respond to needs of customers and turn product changes around on tight timelines
Bonus Qualifications:
- Infrastructure experience: k8s, S3, RDS, SQS, Lambda, Datadock, Docker, and Temporal Orchestration Service
- Strong passion for aviation and/or UAM
- Willingness and ability to transition between mobile and web development
Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications
At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $170,000.00 - $195,000.00 Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.
Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.
Information collected and processed as part of any job applications you choose to submit is subject to Archer's Candidate Privacy Policy.
Archer is unable to provide work visa sponsorship for this position at the present time.
Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.
Archer Aviation does not engage with external recruiting agencies/individual recruiters with whom it does not have a prior written agreement. Archer reserves the right to make use of any unsolicited resumes that it receives and bears no responsibility for payment of any fees asserted from the use of unsolicited resumes. If you are a recruiting agency or individual recruiter wishing to do business with Archer, please reach out to People@archer.com. All employment processes are managed by the Archer People Team.
Ready to apply?
Apply to Archer
Principal Software Development Engineer - Rust, LLM, Networking
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About Zscaler
Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.
Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate—we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership, and accountability.
We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity.
Role
We are hiring a Principal Software Development Engineer to be a founding member of our AI Security Team, offering the chance to build a high-reliability, low-latency AI security solution designed to scale for hundreds of millions of users. In this role, reporting to the Director, Software Development Engineering, you will be responsible for designing and implementing core infrastructure components and distributed systems while collaborating closely with various stakeholders throughout the development lifecycle. This is a hybrid role, reporting in to the San Jose, CA office 3 days a week.
What you’ll do (Role Expectations)
- Architect, develop, and optimize a low-latency, high-throughput AI Security plane utilizing Rust, specifically leveraging its async/await model for highly efficient I/O and service-oriented architecture.
- Build resilient, distributed, and scalable systems, emphasizing concurrency, fault tolerance, and robust messaging protocols.
- Implement and maintain gRPC services and APIs to ensure seamless integration of the AI Security plane with control and orchestration infrastructure.
- Systematically enhance performance across the entire stack, including LLM models, by employing profiling tools for both kernel-space and user-space components.
- Contribute actively to the team through technical documentation, system design reviews, code reviews, and by mentoring junior engineering staff.Lead complex, multi-functional projects and initiatives, defining the technical roadmap and driving execution across teams.
Who You Are (Success Profile)
- Drive the mission with an owner's mindset, seamlessly bridging high-level strategy and detailed, hands-on execution.
- Actively seek challenges and find complex solutions that deliver maximum impact.
- Deeply empathize with internal and external stakeholders, anchoring every decision in addressing their real-world problems.
- Maintain strong technical curiosity, continually seeking more secure, scalable, and effective methods to accelerate transformation.
- Connect your work to the company's broader mission, designing solutions to support high-growth, global organizational needs.
What We’re Looking for (Minimum Qualifications)
- 12+ years of software engineering experience
- Deep experience in systems programming using Rust, with a focus on asynchronous frameworks such as Tokio or async-std.
- Proven ability to design and implement horizontally scalable, highly available, and observable distributed systems.
- Strong command of Linux internals, including kernel-user space interaction, networking, sockets, and namespaces.
- Skilled in performance instrumentation, containerized environments, Git workflows, and CI/CD pipelines.
What Will Make You Stand Out (Preferred Qualifications)
- Expert in systems languages such as C/C++ or Rust, with a focus on performance optimization.
- Deep understanding of Linux networking stacks, Kubernetes networking, service meshes, and LLM model optimization.
- Practical experience with gRPC, Protobufs, and L4-L7 networking protocols, including TCP/IP, TLS, QUIC, HTTP, and WebSockets (WSS).
- Direct experience in validating AI-driven products, including understanding of model performance metrics and MLOps principles.
#LI-BH1
#LI-Hybrid
Zscaler’s salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training.
The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits.
At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure.
Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:
- Various health plans
- Time off plans for vacation and sick time
- Parental leave options
- Retirement options
- Education reimbursement
- In-office perks, and more!
Learn more about Zscaler’s Future of Work strategy, hybrid working model, and benefits here.
By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.
Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link.
Pay Transparency
Zscaler complies with all applicable federal, state, and local pay transparency rules.
Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
Ready to apply?
Apply to Zscaler
Staff Software Development Engineer - (DevOps / DevSecOps)
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About Zscaler
Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.
Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate—we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership, and accountability.
We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity.
Role
We are looking for a Staff Software Development Engineer - DevSecOps to join our team in a hybrid capacity in San Jose, CA, reporting to the Director, Software Development Engineering. Our Engineering team built the world’s largest cloud security platform from the ground up, and we keep building. You will support internal product teams in managing CI/CD pipelines, strengthening security practices, and maintaining shared engineering systems to enable organizations worldwide to harness speed and agility with a cloud-first strategy.
What you’ll do (Role Expectations)
-
Build and manage CI/CD systems to deploy critical applications across hybrid cloud environments including AWS, GCP, and proprietary clouds
-
Support internal product teams with CI/CD pipelines, automations, and tools like GitLab, GitHub, Jenkins, ArgoCD, and security scanning solutions
-
Secure code, applications, and infrastructure using security scanning tools such as SonarQube, Snyk, Coverity, and CheckMarx
-
Administer and optimize critical DevSecOps applications while monitoring build metrics with tools like Grafana, Prometheus, and CloudWatch
-
Communicate progress to stakeholders through Jira, technical documentation, and clear status updates
Who You Are (Success Profile)
-
You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
-
You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.
-
You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
-
You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
-
You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.
What We’re Looking for (Minimum Qualifications)
-
5+ years of professional experience including hands-on experience managing cloud environments such as AWS, GCP, or private clouds
-
Proficiency in application development or automation using OOP languages like C/C++, Java, Python, or Go, plus exposure to container orchestration and automation tools
-
Familiarity with application security testing methodologies and experience using tools like SonarQube, Snyk, Coverity, or CheckMarx
-
Experience designing and managing GitOps-based pipelines using GitLab, GitHub, and CI/CD automation tools like Jenkins or GitHub Actions
- Bachelor’s degree in Computer Science or a related field, or equivalent practical experience
What Will Make You Stand Out (Preferred Qualifications)
-
Experience with AI and ML tools in day to day DevSecOps activities
-
Experience writing and developing yaml based CI/CD Pipelines and knowledge of build tools like makefiles, gradle, npm, or maven
-
Experience with Networking, Load Balancers, Firewalls, and Web Security
#LI-Hybrid #LI-KM9
Zscaler’s salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training.
The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits.
At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure.
Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:
- Various health plans
- Time off plans for vacation and sick time
- Parental leave options
- Retirement options
- Education reimbursement
- In-office perks, and more!
Learn more about Zscaler’s Future of Work strategy, hybrid working model, and benefits here.
By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.
Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link.
Pay Transparency
Zscaler complies with all applicable federal, state, and local pay transparency rules.
Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
Ready to apply?
Apply to Zscaler
Sr. Staff Machine Learning Engineer - Data Lake, Anomaly Detection
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About Zscaler
Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.
Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate—we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership, and accountability.
We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity.
Role
We are looking for a Sr. Staff Software Engineer to join our Zscaler Digital Experience (Core Intelligence and Data) team. This is a hybrid role based in San Jose, CA 3 days a week, reporting to the Sr. Manager, Software Engineering. You will join the team responsible for building the world’s largest cloud security platform, helping us enhance services and increase our global footprint. You will play a pivotal role in enabling organizations worldwide to harness speed and agility through a cloud-first strategy, leveraging our multitenant architecture that serves over 15 million users.
What you’ll do (Role Expectations)
- Own agentic trouble shooting framework, framing high-impact use cases, designing workflows and playbooks, and building processes for all products
- Evaluate and integrate state-of-the-art GenAI advances to deliver reliable and cost-efficient production features, utilizing LLMs, various machine learning models, data processing, fine-tuning, and inference optimization
- Work with the world class cloud platform and data lakes for feature exploration and generation
- Handle volume data with the real time pipeline for data processing and aggregation
- Design, implement, and operate scalable production systems, specifically focusing on microservices, data pipelines, orchestration, and caching
Who You Are (Success Profile)
- You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
- You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.
- You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
- You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
- You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.
What We’re Looking for (Minimum Qualifications)
- BS in Computer Science with 8+ years of experience, or MS/PhD with 5+ years of experience solving real-world problems using AI/ML and distributed systems
- Proficiency in programming, data structures, algorithms, and machine learning, with exceptional problem-solving skills driven by first-principles thinking
- Hand-on experience with AI modeling, including feature generation, prompt engineering, evaluations and productionization
- Experience in the full lifecycle of ML models, including building, deployment, monitoring, and optimization
- Expertise in designing and operating distributed microservices using tools like Kubernetes and Docker, and writing production-grade code in Python, Go, or Java
What Will Make You Stand Out (Preferred Qualifications)
- Experience fine-tuning and deploying proprietary SLMs/LLMs at scale, with a focus on optimizing latency, cost, safety, and evaluations
- Experience delivering production-ready AI systems, including expertise in abnormally detection, event correlation and incident investigation
- Proven ability to design and implement high-performance, resilient systems with well-defined service-level objectives
#LI-Hybrid
#LI-BH1
Zscaler’s salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training.
The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits.
At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure.
Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:
- Various health plans
- Time off plans for vacation and sick time
- Parental leave options
- Retirement options
- Education reimbursement
- In-office perks, and more!
Learn more about Zscaler’s Future of Work strategy, hybrid working model, and benefits here.
By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.
Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link.
Pay Transparency
Zscaler complies with all applicable federal, state, and local pay transparency rules.
Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
Ready to apply?
Apply to Zscaler
About Zscaler
Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.
Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate—we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership, and accountability.
We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity.
Role
We are looking for a Principal Machine Learning Engineer to join our ML/AI team. This is a hybrid role based in San Jose, CA, reporting to the VP, AI and ML within the Engineering department.
You will drive innovation within our growing ML/AI team, focusing on critical cybersecurity use cases like agentic frameworks, threat detection, and anomaly detection. Your work will enable organizations worldwide to harness speed and agility through a cloud-first strategy while solving complex security challenges at scale.
What you’ll do (Role Expectations)
-
Lead the design and development of cutting edge, production ready AI/ML systems and pipelines, cybersecurity applications and provide technical guidance to junior and mid-level engineers
-
Optimize existing machine learning pipelines for improved efficiency and scalability
-
Explore and experiment with advanced AI techniques and architectures to solve complex cybersecurity problems while staying updated on the latest advancements in AI
-
Collaborate with cross-functional teams to define project requirements and ensure alignment with business objectives
-
Ensure systems and applications meet reliability, scalability and performance requirements
Who You Are (Success Profile)
-
You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
-
You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.
-
You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
-
You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
-
You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.
What We’re Looking for (Minimum Qualifications)
-
Bachelor's degree in Computer Science, or a related technical field
-
10+ years of experience as a Machine Learning Engineer or Scientist, with a proven track record of delivering successful projects in cybersecurity
-
Strong proficiency in Algorithms, Game Theory and Optimization, Verification, and ML libraries and frameworks
-
Extensive experience in data modeling, feature engineering, model development, and error analysis
-
Excellent communication skills with the ability to translate complex technical concepts to stakeholders and peers
What Will Make You Stand Out (Preferred Qualifications)
-
Proven track record of designing, building and shipping end-end applications at scale, with familiarity with multi-agent systems and orchestration frameworks
-
Deep expertise with cloud infrastructure such as AWS or GCP for AI workloads
-
Strong experience with agent architectures and SOTA AI frameworks, along with contributions to open-source ML projects or top-tier research publications
#LI-JM1 #LI-Hybrid
Zscaler’s salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training.
The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits.
At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure.
Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:
- Various health plans
- Time off plans for vacation and sick time
- Parental leave options
- Retirement options
- Education reimbursement
- In-office perks, and more!
Learn more about Zscaler’s Future of Work strategy, hybrid working model, and benefits here.
By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.
Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link.
Pay Transparency
Zscaler complies with all applicable federal, state, and local pay transparency rules.
Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
Ready to apply?
Apply to Zscaler
About The Company
DiDi's autonomous driving unit was established in 2016 with the mission of developing Level 4 autonomous driving (AD) technology to make transportation safer and more efficient. In August 2019, the unit became an independent company, DiDi Autonomous Driving, dedicated to advanced AD R&D, product application, and business expansion. We believe integrating AD technology into a shared-mobility fleet will generate immense social value. By leveraging DiDi's specialized technology, operational expertise, and integrated ecosystem, we are positioned to build and operate a highly efficient, user-oriented autonomous fleet.
About The Role
We are seeking a Software Engineer /Sr. Software Engineer to join our team and develop the core decision-making and motion planning systems for our autonomous vehicles. In this role, you will be responsible for creating the algorithms that enable smooth, safe, and intelligent navigation in complex environments. You will tackle challenges across the full motion planning stack, from high-level behavioral reasoning to low-level trajectory optimization.
Responsibilities
- Design and implement the core Behavioral Planning logic that determines the vehicle's high-level actions (e.g., lane changes, merges, yields, and interactions with other agents).
- Develop and optimize the motion planning algorithms that execute behavioral decisions, integrating Geometry Reasoning (path) and Speed Reasoning (velocity) into a cohesive trajectory.
- Architect and enhance the geometry system for generating geometrically feasible and compliant paths.
- Architect and refine the velocity system for generating context-aware, comfortable, and safe velocity profiles.
- Model complex driving scenarios and agent interactions to create a robust world model for the behavioral planner.
- Design different costs for trajectory ranking to trade off ETAs, comfort and safety of the vehicle behaviors.
- Conduct in-depth analysis, testing, and debugging of the system's performance in various scenarios, leading root cause investigations.
- Collaborate with Prediction, Perception, and Control teams to ensure a seamless flow from environmental understanding to physical vehicle motion.
Qualifications
- B.S./M.S. in Computer Science, Robotics, or a related field.
- Experience in autonomous systems, robotics, or automotive software development.
- Strong proficiency in C++ for implementing complex, real-time algorithms.
- Solid understanding of robotics fundamentals, including decision-making, motion planning, control theory, trajectory ranking, search and optimization algorithms etc.
- Related experience in one or more of the following: behavioral planning, motion planning, behavior and world environment reasoning, trajectory ranking and cost design.
Preferred Qualifications
- PhD or internship experience related to robotics planning system designs.
- Knowledge of vehicle dynamics and longitudinal/lateral control systems.
- Solid understanding of machine learning principles, reinforcement learning and related algorithms.
The base salary range for this position is $129,189-$214,776 for Software Engineer and $148,594-247,038 for Sr. Software Engineer, annually in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
I acknowledge that prior to submitting this application, I have read and accepted the Privacy Notice for California Residents which is available on https://v.didi.cn/AQnxlBa
Ready to apply?
Apply to DiDi Labs
Staff Engineer, AI/ML Visualization
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Please Note:
To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period.
Advancing the World’s Technology Together
Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you’ll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what’s possible and powering the future.
We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We’re dedicated to empowering people to be their true selves. Together, we’re building a better tomorrow for our employees, customers, partners, and communities.
The AGI (Artificial General Intelligence) Computing Lab is dedicated to solving the complex system-level challenges posed by the growing demands of future AI/ML workloads. Our team is committed to designing and developing scalable platforms that can effectively handle the computational and memory requirements of these workloads while minimizing energy consumption and maximizing performance. To achieve this goal, we collaborate closely with both hardware and software engineers to identify and address the unique challenges posed by AI/ML workloads and to explore new computing abstractions that can provide a better balance between the hardware and software components of our systems. Additionally, we continuously conduct research and development in emerging technologies and trends across memory, computing, interconnect, and AI/ML, ensuring that our platforms are always equipped to handle the most demanding workloads of the future. By working together as a dedicated and passionate team, we aim to revolutionize the way AI/ML applications are deployed and executed, ultimately contributing to the advancement of AGI in an affordable and sustainable manner. Join us in our passion to shape the future of computing!
Location: Daily onsite presence at our San Jose, CA office / U.S. headquarters in alignment with our Flexible Work policy.
What You’ll Do
- Develop and maintain highly interactive, large-scale and complex web-based visual analytics tools on AI/ML workloads.
- Design and implement creative and performant visualizations to assist in diagnosing issues or uncovering optimization opportunities in AI/ML inference and serving.
- Collaborate closely with hardware architects and compiler engineers to define, design, and implement effective visualization solutions enhancing their workflow.
- Develop high-performance visualization workflows by integrating independent graphics modules with micro-services to handle asset optimization, ensuring a non-blocking experience on the client.
- Continuously seek improvements to existing tools and develop new approaches to meet fast-evolving requirements.
- Stay up-to-date with the latest advancements in web development and visualization techniques.
- Contribute to the development of the documentation and user guides.
- Complete other responsibilities as assigned.
What You Bring
- Bachelor’s with 10+ years, or Master’s with 8+ years, or PhD's with 5+ years of industry experience.
- An innate drive to clarify deep technical complexity, balancing creative visualization with engineering rigor to build analytical tools that make interdependent hardware and software models intuitive without sacrificing logical precision.
- Strong experience in full-stack visual analytics software development, with a focus on building scientific or infrastructure visualization tools. Experience in AI model visualization integrated with PyTorch is a plus.
- Strong proficiency in modern frontend technologies like React and backend technologies like Node.js or Python-based frameworks. Experience in graph-based UI is a plus.
- Proven experience in WebGL/WebGPU based frameworks such as three.js or deck.gl. GLSL experience is a plus. Experience in WebAssembly with C++ is a plus.
- Excellent problem-solving skills and ability to think critically and creatively.
- Excellent communication and interpersonal skills.
- Ability to work independently and as part of a team.
- You’re inclusive, adapting your style to the situation and diverse global norms of our people.
- An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
- You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
- Innovative and creative, you proactively explore new ideas and adapt quickly to change.
#LI-VL1
What We Offer
The pay range below is for all roles at this level across all US locations and functions. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. We also offer incentive opportunities that reward employees based on individual and company performance.
This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision/401k, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours.
Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community.
Enjoy Time Away You’ll start with 4+ weeks of paid time off a year, plus holidays and sick leave, to rest and recharge.
Care for Family Whatever family means to you, we want to support you along the way—including a stipend for fertility care or adoption, medical travel support, and virtual vet care for your fur babies.
Prioritize Emotional Wellness With on-demand apps and free confidential therapy sessions, you’ll have support no matter where you are.
Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier.
Embrace Flexibility Benefits are best when you have the space to use them. That’s why we facilitate a flexible environment so you can find the right balance for you.
Equal Opportunity Employment Policy
Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status.
When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations.
Recruiting Agency Policy
We do not accept unsolicited resumes. Only authorized recruitment agencies that have a current and valid agreement with Samsung Semiconductor, Inc. are permitted to submit resumes for any job openings.
Applicant AI Use Policy
At Samsung Semiconductor, we support innovation and technology. However, to ensure a fair and authentic assessment, we prohibit the use of generative AI tools to misrepresent a candidate's true skills and qualifications. Permitted uses are limited to basic preparation, grammar, and research, but all submitted content and interview responses must reflect the candidate’s genuine abilities and experience. Violation of this policy may result in immediate disqualification from the hiring process.
Applicant Privacy Policy
https://semiconductor.samsung.com/about-us/careers/us/privacy/
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Staff Engineer, Memory Systems Architecture
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Please Note:
To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period.
Advancing the World’s Technology Together
Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you’ll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what’s possible and powering the future.
We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We’re dedicated to empowering people to be their true selves. Together, we’re building a better tomorrow for our employees, customers, partners, and communities.
Samsung Semiconductor is hiring now for a Staff Engineer, Memory Systems Architecture. The conventional DRAM failure analysis was physical electrical FA and physical FA. But, in the era of Data center, it is easier to track the field failure information. With this data set, Fault management team’s role is finding DRAM failure mode, abnormality and failure rate projection.
You will be part of an incubation team working on in-field telemetry intended to transform the Customer Quality Experience for Samsung memory products. Fault Management is the future of quality to minimize system downtime within AI/ML hardware deployments and workloads of the future. We analyze trends and patterns from enormous memory fleet telemetry to bucketize failures and perform virtual root-cause analysis. Telemetry analysis helps us design solutions to proactively avoid system downtime. We conduct research and develop both in-house and collaboratively in the industry with the opportunity to publish our findings through whitepapers and conferences. We are looking for innovative and passionate thinkers who can work in a start-up environment and are excited to shape the future of data centers around the world. Join us in our mission!
What You'll Do
- Based on the knowledge of SOC controller and memory operation including RAS feature, find and recommends better solution to mitigate the field DRAM failure rate.
- Needs to communicate better ECC scheme to customers based on Samsung DRAM failure mode(DQ and burst)
- Interface with customers to establish the value add of enabling in-field fault management architecture
- Contribute to the standardization of DRAM/HBM failure logging in the OCP.
- Propose and develop platform RAS (Reliability Availability Serviceability) algorithms for memory fault management such as page offlining, hPPR and conduct POC with known failure DIMMs in the real server and application.
Location: Daily onsite presence at our San Jose headquarters in alignment with our Flexible Work Policy.
Job ID: 42886
What You Bring
- Bachelor’s degree with 10+ years of relevant industry experience, or Master’s with 8+ years or PhD with 5+ years hardware fault management, reliability, data center fleet management experience or related technical field preferred. (Must)
- Knowledge of platform memory subsystem, platform RAS (Reliability Availability Serviceability) such as ECC, page offlining, hPPR and hardware sparing.
- ECC design and verification and reverse engineering experience.
- Understanding on the address mapping between CPU and memory.
- Memory controller register modification.
- Linux kernel commit experience.
- DRAM and HBM failure mode understanding.
- You’re inclusive, adapting your style to the situation and diverse global norms of our people.
- An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
- You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
- Innovative and creative, you proactively explore new ideas and adapt quickly to change.
#LI-MD1
What We Offer
The pay range below is for all roles at this level across all US locations and functions. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. We also offer incentive opportunities that reward employees based on individual and company performance.
This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision/401k, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours.
Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community.
Enjoy Time Away You’ll start with 4+ weeks of paid time off a year, plus holidays and sick leave, to rest and recharge.
Care for Family Whatever family means to you, we want to support you along the way—including a stipend for fertility care or adoption, medical travel support, and virtual vet care for your fur babies.
Prioritize Emotional Wellness With on-demand apps and free confidential therapy sessions, you’ll have support no matter where you are.
Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier.
Embrace Flexibility Benefits are best when you have the space to use them. That’s why we facilitate a flexible environment so you can find the right balance for you.
Equal Opportunity Employment Policy
Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status.
When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations.
Recruiting Agency Policy
We do not accept unsolicited resumes. Only authorized recruitment agencies that have a current and valid agreement with Samsung Semiconductor, Inc. are permitted to submit resumes for any job openings.
Applicant AI Use Policy
At Samsung Semiconductor, we support innovation and technology. However, to ensure a fair and authentic assessment, we prohibit the use of generative AI tools to misrepresent a candidate's true skills and qualifications. Permitted uses are limited to basic preparation, grammar, and research, but all submitted content and interview responses must reflect the candidate’s genuine abilities and experience. Violation of this policy may result in immediate disqualification from the hiring process.
Applicant Privacy Policy
https://semiconductor.samsung.com/about-us/careers/us/privacy/
Ready to apply?
Apply to Samsung Semiconductor
Principal Engineer, CPU Architecture & Performance Research
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Please Note:
To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period.
Advancing the World’s Technology Together
Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you’ll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what’s possible and powering the future.
We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We’re dedicated to empowering people to be their true selves. Together, we’re building a better tomorrow for our employees, customers, partners, and communities.
Principal, CPU Architecture & Performance Research Engineer
What You’ll Do
Architecture Research Lab is seeking Principal CPU Architecture & Performance Engineer to lead the definition, analysis, and optimization of next-generation CPU microarchitectures (RISC-V core). This role is focused on end-to-end performance: from architectural trade-offs and workload characterization to micro-architectural modeling, simulation, and silicon bring-up correlation.
You will work closely with architecture, design, compiler, and system teams to drive performance and efficiency across a broad set of real-world workloads
Location: Daily onsite presence at our San Jose office in alignment with our Flexible Work policy
Job ID: 42918
- Define and evaluate CPU micro-architectural features for future cores (frontend, execution engine, memory hierarchy, interconnect).
- Lead performance analysis using simulators, RTL.
- Help develop and validate performance models (cycle-accurate, trace-driven, statistical).
- Characterize workloads (SPEC, server, client, AI/ML, cloud, internal traces) and translate findings into architectural requirements.
- Identify performance bottlenecks and propose data-driven optimizations.
- Drive architecture-to-implementation alignment with design team.
- Collaborate with compiler, OS, and system architects on cross-stack performance issues.
- Mentor senior and staff engineers; provide technical leadership across projects.
- Work leading to patents and publication
What You Bring
- Master’s with 18+ years of experience in Computer Engineering, Computer Science, or related field.
- or PhD with 15+ years of experience preferred.
- 10+ years of experience in CPU microarchitecture and/or performance engineering.
- Experience with RISC-V, ARM or X86 architectures.
- Strong understanding of:
- Out-of-order execution, branch prediction, pipelines, and speculation
- Cache coherence, memory systems, prefetching, and NUMA effects
- Hands-on experience with architectural simulators (like gem5).
- Strong programming skills in C/C++ and Python.
- Familiarity with compiler optimizations and hardware/software co-design.
- Familiarity with SIMD / Vectors / VME for AI inference workloads.
- Experience analyzing large performance datasets and traces.
- Proven ability (Tapeout / Patents /Publications) to influence architecture / micro architectural decisions through quantitative analysis.
Preferred Qualifications
- Background in power/performance/area (PPA) trade-off analysis.
- Experience with SIMD/Vectors.
- Experience with compiler optimizations and hardware/software co-design.
- Prior technical leadership at Senior Staff or Principal level.
- You’re inclusive, adapting your style to the situation and diverse global norms of our people.
- You approach challenges with curiosity and resilience, seeking data to help build understanding.
- You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
- Innovative and creative, you proactively explore new ideas and adapt quickly to change.
#LI-SF1
What We Offer
The pay range below is for all roles at this level across all US locations and functions. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. We also offer incentive opportunities that reward employees based on individual and company performance.
This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision/401k, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours.
Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community.
Enjoy Time Away You’ll start with 4+ weeks of paid time off a year, plus holidays and sick leave, to rest and recharge.
Care for Family Whatever family means to you, we want to support you along the way—including a stipend for fertility care or adoption, medical travel support, and virtual vet care for your fur babies.
Prioritize Emotional Wellness With on-demand apps and free confidential therapy sessions, you’ll have support no matter where you are.
Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier.
Embrace Flexibility Benefits are best when you have the space to use them. That’s why we facilitate a flexible environment so you can find the right balance for you.
Equal Opportunity Employment Policy
Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status.
When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations.
Recruiting Agency Policy
We do not accept unsolicited resumes. Only authorized recruitment agencies that have a current and valid agreement with Samsung Semiconductor, Inc. are permitted to submit resumes for any job openings.
Applicant AI Use Policy
At Samsung Semiconductor, we support innovation and technology. However, to ensure a fair and authentic assessment, we prohibit the use of generative AI tools to misrepresent a candidate's true skills and qualifications. Permitted uses are limited to basic preparation, grammar, and research, but all submitted content and interview responses must reflect the candidate’s genuine abilities and experience. Violation of this policy may result in immediate disqualification from the hiring process.
Applicant Privacy Policy
https://semiconductor.samsung.com/about-us/careers/us/privacy/
Ready to apply?
Apply to Samsung Semiconductor
Principal Engineer, RTL Power Macromodeling
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Please Note:
To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period.
Advancing the World’s Technology Together
Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you’ll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what’s possible and powering the future.
We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We’re dedicated to empowering people to be their true selves. Together, we’re building a better tomorrow for our employees, customers, partners, and communities.
What You’ll Do
We are seeking an RTL engineer to develop high-fidelity, advanced IP-level power macromodels for AI computing memory component IPs. The role focuses on translating RTL/SystemC/C behavior into time-indexed, input-dependent power models.
Location: Daily onsite presence at our San Jose, CA office in alignment with our Flexible Work policy
Reports to: SVP, R&D (Power & Thermal Lab)
- Develop high-fidelity, advanced RTL- SystemC-, and C-based power macromodels for AI memory component IPs using analytical modeling, LUT, FSM, NN, and their hybrid.
- Extract activity-, value-, and state-dependent power features from C/SystemC/RTL simulations.
- Define power-relevant functional states (transaction/state-based abstraction).
- Support trace-driven power modeling, aligned with C/SystemC workload traces.
- Perform synthesis-assisted calibration using average and worst-case power anchors when available.
- Validate macromodel accuracy against reference RTL/gate-level results and real-silicon data when available.
- Collaborate with software engineers on feature semantics, timing alignment, and model interfaces.
- Contribute to scalable IP-wise composition for full-system power simulation.
What You Bring
- Bachelors degree 20+ years of experience or Masters degree 18+ years of experience.
- Strong RTL design, synthesis and analysis experience (Verilog/SystemVerilog/SystemC).
- Solid understanding of dynamic and leakage power mechanisms in CMOS and interconnects.
- Hands-on experience with logic synthesis and power analysis tools, including VCS, VC Formal, Design Compiler, PrimeTime-PX, StarRC, PowerArtist, Verdi, etc.
- Hands-on experience with power modeling in academia, including McPAT, CACTI, Wattch, etc. and industry tools such as Synopsys Platform Architect.
- Familiarity with SystemC or transaction-level modeling.
- Ability to abstract RTL behavior into compact analytical, table-based, FSM-based, and AL/ML models.
- Knowledge of power macromodeling, power estimation flows, or architectural power analysis.
Preferred Qualifications
- Experience with GPU, computer architecture, AI memory, memory controllers, PHYs, or high-speed I/O.
- Knowledge of cross-coupling capacitance, clock power modeling, and power and signal integrity.
- Exposure to low-power design and thermal management.
- Exposure to power macromodeling, power estimation flows, or architectural power analysis.
What We Offer
The pay range below is for all roles at this level across all US locations and functions. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. We also offer incentive opportunities that reward employees based on individual and company performance.
This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision/401k, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours.
Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community.
Enjoy Time Away You’ll start with 4+ weeks of paid time off a year, plus holidays and sick leave, to rest and recharge.
Care for Family Whatever family means to you, we want to support you along the way—including a stipend for fertility care or adoption, medical travel support, and virtual vet care for your fur babies.
Prioritize Emotional Wellness With on-demand apps and free confidential therapy sessions, you’ll have support no matter where you are.
Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier.
Embrace Flexibility Benefits are best when you have the space to use them. That’s why we facilitate a flexible environment so you can find the right balance for you.
Equal Opportunity Employment Policy
Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status.
When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations.
Recruiting Agency Policy
We do not accept unsolicited resumes. Only authorized recruitment agencies that have a current and valid agreement with Samsung Semiconductor, Inc. are permitted to submit resumes for any job openings.
Applicant AI Use Policy
At Samsung Semiconductor, we support innovation and technology. However, to ensure a fair and authentic assessment, we prohibit the use of generative AI tools to misrepresent a candidate's true skills and qualifications. Permitted uses are limited to basic preparation, grammar, and research, but all submitted content and interview responses must reflect the candidate’s genuine abilities and experience. Violation of this policy may result in immediate disqualification from the hiring process.
Applicant Privacy Policy
https://semiconductor.samsung.com/about-us/careers/us/privacy/
Ready to apply?
Apply to Samsung Semiconductor
Principal Engineer, SOC Design
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Please Note:
To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period.
Advancing the World’s Technology Together
Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you’ll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what’s possible and powering the future.
We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We’re dedicated to empowering people to be their true selves. Together, we’re building a better tomorrow for our employees, customers, partners, and communities.
Principal Engineer, SOC Design
What You’ll Do
The DRAM Development Lab (DDL) is part of Samsung’s Memory Business Unit, the industry's technology and volume leader in DRAM, HBM and NAND Flash. DDL’s vision is to solve key problems of Cloud & Data center by developing the new technology for memory and storage. The SOC team within DDL focuses on the development of silicon solutions. We are an integral part of Samsung’s strong R&D focus & lab innovation engine. We work closely with development teams to bring feature innovation to product roadmaps.
Come join the team that is creating new computing system architectures needed to support emerging machine learning applications, data analytics and edge computing. You’ll focus on enhancement of memory and storage capability by developing prototype and production controllers.
Job ID: 42866
Location: Daily onsite presence at our San Jose or Folsom office in alignment with our Flexible Work policy
- Participate in architectural definitions and responsible for micro architecture of subsystem and/or chip level.
- Responsible for top integration, logic design and RTL implementation along with quality check (Assertion, Lint, CDC, and STA).
- Reviews 3rd party IPs including ARM cores, DDR controller, and UCIe PHY
- Responsible for integrating the third part IPs and sub system at top level
- Work closely with architects and verification engineers to ensure sound design at SoC level.
- Work with physical designers on timing constraints, synthesis, DFT insertion, and static timing analysis
What You Bring
- Bachelors in Electrical, Computer Science or related with 20+ years of experience or Masters in Electrical, Computer Science or related Science with 18+ years of Industry Experience or PhD in Electrical, Computer Science or related Science with 15+ years of Industry experience preferred.
- Highly motivated with good verbal and written communication skills.
- Hands on knowledge & experience in ASIC design flow from design to tape out.
- Experience & Good knowledge in ATE vector generation, testing and silicon bring up.
- Experience in the commercial IPs such as UCIe, CPU, Ethernet, and DDR interfaces.
- Good understanding of PPA (performance, power, and area) trade-offs.
- Experience in SoC level synthesis, timing analysis, lint check, CDC checks.
- Experience in interfacing 3rd party service companies for DFT/PI/PD.
- Good knowledge and experience in AMBA bus fabric, ARM cores.
- Self-motivated problem-solver with an ability to work well in a team.
- You’re inclusive, adapting your style to the situation and diverse global norms of our people.
- An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
- You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
- Innovative and creative, you proactively explore new ideas and adapt quickly to change.
#LI-SF1
What We Offer
The pay range below is for all roles at this level across all US locations and functions. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. We also offer incentive opportunities that reward employees based on individual and company performance.
This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision/401k, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours.
Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community.
Enjoy Time Away You’ll start with 4+ weeks of paid time off a year, plus holidays and sick leave, to rest and recharge.
Care for Family Whatever family means to you, we want to support you along the way—including a stipend for fertility care or adoption, medical travel support, and virtual vet care for your fur babies.
Prioritize Emotional Wellness With on-demand apps and free confidential therapy sessions, you’ll have support no matter where you are.
Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier.
Embrace Flexibility Benefits are best when you have the space to use them. That’s why we facilitate a flexible environment so you can find the right balance for you.
Equal Opportunity Employment Policy
Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status.
When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations.
Recruiting Agency Policy
We do not accept unsolicited resumes. Only authorized recruitment agencies that have a current and valid agreement with Samsung Semiconductor, Inc. are permitted to submit resumes for any job openings.
Applicant AI Use Policy
At Samsung Semiconductor, we support innovation and technology. However, to ensure a fair and authentic assessment, we prohibit the use of generative AI tools to misrepresent a candidate's true skills and qualifications. Permitted uses are limited to basic preparation, grammar, and research, but all submitted content and interview responses must reflect the candidate’s genuine abilities and experience. Violation of this policy may result in immediate disqualification from the hiring process.
Applicant Privacy Policy
https://semiconductor.samsung.com/about-us/careers/us/privacy/
Ready to apply?
Apply to Samsung Semiconductor
Senior Engineer, AI Systems
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Please Note:
To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period.
Advancing the World’s Technology Together
Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you’ll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what’s possible and powering the future.
We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We’re dedicated to empowering people to be their true selves. Together, we’re building a better tomorrow for our employees, customers, partners, and communities.
The AGI (Artificial General Intelligence) Computing Lab is dedicated to solving the complex system-level challenges posed by the growing demands of future AI/ML workloads. Our team is committed to designing and developing scalable platforms that can effectively handle the computational and memory requirements of these workloads while minimizing energy consumption and maximizing performance. To achieve this goal, we collaborate closely with both hardware and software engineers to identify and address the unique challenges posed by AI/ML workloads and to explore new computing abstractions that can provide a better balance between the hardware and software components of our systems. Additionally, we continuously conduct research and development in emerging technologies and trends across memory, computing, interconnect, and AI/ML, ensuring that our platforms are always equipped to handle the most demanding workloads of the future. By working together as a dedicated and passionate team, we aim to revolutionize the way AI/ML applications are deployed and executed, ultimately contributing to the advancement of AGI in an affordable and sustainable manner. Join us in our passion to shape the future of computing!
This role is being offered under the AGICL lab as a part of DSRA. We are a research-driven systems lab working at the intersection of large language models, accelerator hardware, and high-performance software stacks. Our mission is to design, prototype, and optimize next-generation AI systems through tight hardware–software co-design.
Our team works hands-on with cutting-edge accelerator hardware, experimental memory systems, and emerging domain-specific languages (DSLs). We build and optimize a Triton-based software stack that pushes the limits of performance, efficiency, and scalability for modern LLM workloads.
We are looking for a Senior AI Systems Engineer with deep experience in high performance Triton kernel development on modern accelerators. In this role, you will design, analyze, and optimize performance-critical kernels used in large scale LLM inference and training pipelines. You will work closely with hardware architects, compiler engineers, and ML researchers to identify performance bottlenecks, interpret profiling data, and co-design solutions that span software and hardware boundaries.
This role is ideal for engineers who enjoy working close to the hardware stack while still reasoning deeply about model level abstractions.
Location: Daily onsite presence at our San Jose, CA office / U.S. headquarters in alignment with our Flexible Work policy.
What You’ll Do
- Design, implement, and optimize high-performance Triton kernels for LLM workloads on existing accelerators.
- Analyze kernel performance using profiling tools; interpret metrics such as latency, throughput, occupancy, memory bandwidth, and compute utilization.
- Identify performance bottlenecks in kernel design (e.g., memory access patterns, synchronization, tiling strategies) and propose concrete optimizations.
- Work across the stack; from model architecture to kernel implementation—to ensure end-to-end performance efficiency.
- Collaborate with hardware and compiler teams on hardware–software co-design, providing feedback that influences future accelerator and DSL designs.
- Prototype and evaluate kernel optimizations using upcoming DSLs and experimental compiler flows.
- Contribute to the evolution of a Triton-based software stack used for cutting-edge research and production-grade experimentation.
- Document design decisions, performance trade-offs, and optimization strategies clearly for internal and external stakeholders.
What You Bring
- Bachelor’s with 5+ years, or Master’s with 3+ years, or PhD's with 0+ years of industry experience.
- Strong experience writing high-performance Triton kernels for GPUs or other accelerators.
- Solid understanding of LLM fundamentals, including attention mechanisms, transformer architectures, and inference/training workflows.
- Deep knowledge of accelerator hardware architecture, including: Memory hierarchies (HBM, SRAM, caches).
- Proven ability to read and interpret profiling data and performance counters.
- Experience diagnosing and resolving performance bottlenecks in kernel-level code.
- Strong systems programming skills in Python and low-level performance-oriented programming paradigms.
- Experience with hardware–software co-design or compiler-assisted optimization.
- Familiarity with FlashAttention, fused kernels, MoE kernels, and different attention mechanisms.
- Experience working with emerging or experimental domain-specific languages (DSLs) for accelerator programming.
- Background in ML systems, compilers, or performance engineering.
- Prior experience working with different accelerator backends (including but not limited to CUDA).
- Opportunity to work on cutting-edge accelerator hardware and experimental software stacks.
- Direct impact on the performance and design of next-generation AI systems.
- A highly collaborative environment spanning hardware, systems, and ML research.
- Flexibility to publish, prototype, and influence future hardware and software directions.
- Ability to work effectively in cross-functional, research-oriented environments.
- Strong analytical and problem-solving skills.
- You’re inclusive, adapting your style to the situation and diverse global norms of our people.
- An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
- You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
- Innovative and creative, you proactively explore new ideas and adapt quickly to change.
#LI-VL1
What We Offer
The pay range below is for all roles at this level across all US locations and functions. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. We also offer incentive opportunities that reward employees based on individual and company performance.
This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision/401k, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours.
Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community.
Enjoy Time Away You’ll start with 4+ weeks of paid time off a year, plus holidays and sick leave, to rest and recharge.
Care for Family Whatever family means to you, we want to support you along the way—including a stipend for fertility care or adoption, medical travel support, and virtual vet care for your fur babies.
Prioritize Emotional Wellness With on-demand apps and free confidential therapy sessions, you’ll have support no matter where you are.
Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier.
Embrace Flexibility Benefits are best when you have the space to use them. That’s why we facilitate a flexible environment so you can find the right balance for you.
Equal Opportunity Employment Policy
Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status.
When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations.
Recruiting Agency Policy
We do not accept unsolicited resumes. Only authorized recruitment agencies that have a current and valid agreement with Samsung Semiconductor, Inc. are permitted to submit resumes for any job openings.
Applicant AI Use Policy
At Samsung Semiconductor, we support innovation and technology. However, to ensure a fair and authentic assessment, we prohibit the use of generative AI tools to misrepresent a candidate's true skills and qualifications. Permitted uses are limited to basic preparation, grammar, and research, but all submitted content and interview responses must reflect the candidate’s genuine abilities and experience. Violation of this policy may result in immediate disqualification from the hiring process.
Applicant Privacy Policy
https://semiconductor.samsung.com/about-us/careers/us/privacy/
Ready to apply?
Apply to Samsung Semiconductor
Senior Engineer, Performance Architecture
Share this job
Please Note:
To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period.
Advancing the World’s Technology Together
Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you’ll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what’s possible and powering the future.
We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We’re dedicated to empowering people to be their true selves. Together, we’re building a better tomorrow for our employees, customers, partners, and communities.
The AGI (Artificial General Intelligence) Computing Lab is dedicated to solving the complex system-level challenges posed by the growing demands of future AI/ML workloads. Our team is committed to designing and developing scalable platforms that can effectively handle the computational and memory requirements of these workloads while minimizing energy consumption and maximizing performance. To achieve this goal, we collaborate closely with both hardware and software engineers to identify and address the unique challenges posed by AI/ML workloads and to explore new computing abstractions that can provide a better balance between the hardware and software components of our systems. Additionally, we continuously conduct research and development in emerging technologies and trends across memory, computing, interconnect, and AI/ML, ensuring that our platforms are always equipped to handle the most demanding workloads of the future. By working together as a dedicated and passionate team, we aim to revolutionize the way AI/ML applications are deployed and executed, ultimately contributing to the advancement of AGI in an affordable and sustainable manner. Join us in our passion to shape the future of computing!
We are looking for a Senior Engineer, Performance Architecture. This role is being offered under the AGICL lab as a part of DSRA. We are a research-driven systems lab working at the intersection of large language models, accelerator hardware, and high-performance software stacks. Our mission is to design, prototype, and optimize next-generation AI systems through tight hardware–software co-design.
Location: Daily onsite presence at our San Jose, CA office / U.S. headquarters in alignment with our Flexible Work policy.
What You’ll Do
- Model the architecture, performance, and power characteristics of Memory Centric Computing platforms
- Develop and optimize models to explore a large design space.
- Analyze various trade-offs within a design space, considering different architectural choices and workloads.
- Collaborate with architecture, design and software engineers to ensure that the PPA of modeled systems meet the requirements of our users
- Conduct research and development in emerging technologies and trends in AI/ML workloads and Memory Centric Computing architectures
- Communicate effectively with stakeholders, including users, partners, and management, to ensure that the systems are delivered on time and within budget
What You Bring
- BS in Computer/Electrical Engineering or Computer Science with 5+ years of working experiences in silicon development or MS in Computer/Electrical Engineering or Computer Science with 3+ years of relevant working experience or PhD and 0+ years of relevant working experience preferred.
- Strong background in computer architecture
- Experiences in developing and optimizing models for high-performance computing systems
- Strong analytical and problem-solving skills
- Excellent communication and interpersonal skills
- Ability to work independently and as part of a team
- You’re inclusive, adapting your style to the situation and diverse global norms of our people.
- An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
- You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
- Innovative and creative, you proactively explore new ideas and adapt quickly to change.
#LI-VL1
What We Offer
The pay range below is for all roles at this level across all US locations and functions. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. We also offer incentive opportunities that reward employees based on individual and company performance.
This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision/401k, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours.
Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community.
Enjoy Time Away You’ll start with 4+ weeks of paid time off a year, plus holidays and sick leave, to rest and recharge.
Care for Family Whatever family means to you, we want to support you along the way—including a stipend for fertility care or adoption, medical travel support, and virtual vet care for your fur babies.
Prioritize Emotional Wellness With on-demand apps and free confidential therapy sessions, you’ll have support no matter where you are.
Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier.
Embrace Flexibility Benefits are best when you have the space to use them. That’s why we facilitate a flexible environment so you can find the right balance for you.
Equal Opportunity Employment Policy
Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status.
When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations.
Recruiting Agency Policy
We do not accept unsolicited resumes. Only authorized recruitment agencies that have a current and valid agreement with Samsung Semiconductor, Inc. are permitted to submit resumes for any job openings.
Applicant AI Use Policy
At Samsung Semiconductor, we support innovation and technology. However, to ensure a fair and authentic assessment, we prohibit the use of generative AI tools to misrepresent a candidate's true skills and qualifications. Permitted uses are limited to basic preparation, grammar, and research, but all submitted content and interview responses must reflect the candidate’s genuine abilities and experience. Violation of this policy may result in immediate disqualification from the hiring process.
Applicant Privacy Policy
https://semiconductor.samsung.com/about-us/careers/us/privacy/
Ready to apply?
Apply to Samsung Semiconductor
Senior Engineer, RTL
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Please Note:
To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period.
Advancing the World’s Technology Together
Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you’ll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what’s possible and powering the future.
We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We’re dedicated to empowering people to be their true selves. Together, we’re building a better tomorrow for our employees, customers, partners, and communities.
What You’ll Do
We are seeking an RTL engineer to develop high-fidelity, advanced IP-level power macromodels for AI computing memory component IPs. The role focuses on translating RTL/SystemC/C behavior into time-indexed, input-dependent power models.
Location: Daily onsite presence at our San Jose, CA office in alignment with our Flexible Work policy
Reports to: SVP, R&D (Power & Thermal Lab)
- Develop high-fidelity, advanced RTL- SystemC-, and C-based power macromodels for AI memory component IPs using analytical modeling, LUT, FSM, NN, and their hybrid.
- Extract activity-, value-, and state-dependent power features from C/SystemC/RTL simulations.
- Define power-relevant functional states (transaction/state-based abstraction).
- Support trace-driven power modeling, aligned with C/SystemC workload traces.
- Perform synthesis-assisted calibration using average and worst-case power anchors when available.
- Validate macromodel accuracy against reference RTL/gate-level results and real-silicon data when available.
- Collaborate with software engineers on feature semantics, timing alignment, and model interfaces.
- Contribute to scalable IP-wise composition for full-system power simulation.
What You Bring
- Bachelors degree 5+ years of experience or Masters degree 3+ years of experience.
- Strong RTL design, synthesis and analysis experience (Verilog/SystemVerilog/SystemC).
- Solid understanding of dynamic and leakage power mechanisms in CMOS and interconnects.
- Hands-on experience with logic synthesis and power analysis tools, including VCS, VC Formal, Design Compiler, PrimeTime-PX, StarRC, PowerArtist, Verdi, etc.
- Hands-on experience with power modeling in academia, including McPAT, CACTI, Wattch, etc. and industry tools such as Synopsys Platform Architect.
- Familiarity with SystemC or transaction-level modeling.
- Ability to abstract RTL behavior into compact analytical, table-based, FSM-based, and AL/ML models.
- Knowledge of power macromodeling, power estimation flows, or architectural power analysis.
Preferred Qualifications
- Experience with GPU, computer architecture, AI memory, memory controllers, PHYs, or high-speed I/O.
- Knowledge of cross-coupling capacitance, clock power modeling, and power and signal integrity.
- Exposure to low-power design and thermal management.
- Exposure to power macromodeling, power estimation flows, or architectural power analysis.
What We Offer
The pay range below is for all roles at this level across all US locations and functions. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. We also offer incentive opportunities that reward employees based on individual and company performance.
This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision/401k, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours.
Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community.
Enjoy Time Away You’ll start with 4+ weeks of paid time off a year, plus holidays and sick leave, to rest and recharge.
Care for Family Whatever family means to you, we want to support you along the way—including a stipend for fertility care or adoption, medical travel support, and virtual vet care for your fur babies.
Prioritize Emotional Wellness With on-demand apps and free confidential therapy sessions, you’ll have support no matter where you are.
Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier.
Embrace Flexibility Benefits are best when you have the space to use them. That’s why we facilitate a flexible environment so you can find the right balance for you.
Equal Opportunity Employment Policy
Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status.
When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations.
Recruiting Agency Policy
We do not accept unsolicited resumes. Only authorized recruitment agencies that have a current and valid agreement with Samsung Semiconductor, Inc. are permitted to submit resumes for any job openings.
Applicant AI Use Policy
At Samsung Semiconductor, we support innovation and technology. However, to ensure a fair and authentic assessment, we prohibit the use of generative AI tools to misrepresent a candidate's true skills and qualifications. Permitted uses are limited to basic preparation, grammar, and research, but all submitted content and interview responses must reflect the candidate’s genuine abilities and experience. Violation of this policy may result in immediate disqualification from the hiring process.
Applicant Privacy Policy
https://semiconductor.samsung.com/about-us/careers/us/privacy/
Ready to apply?
Apply to Samsung Semiconductor
Senior Staff Engineer, Design Verification
Share this job
Please Note:
To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period.
Advancing the World’s Technology Together
Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you’ll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what’s possible and powering the future.
We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We’re dedicated to empowering people to be their true selves. Together, we’re building a better tomorrow for our employees, customers, partners, and communities.
The AGI (Artificial General Intelligence) Computing Lab is dedicated to solving the complex system-level challenges posed by the growing demands of future AI/ML workloads. Our team is committed to designing and developing scalable platforms that can effectively handle the computational and memory requirements of these workloads while minimizing energy consumption and maximizing performance. To achieve this goal, we collaborate closely with both hardware and software engineers to identify and address the unique challenges posed by AI/ML workloads and to explore new computing abstractions that can provide a better balance between the hardware and software components of our systems. Additionally, we continuously conduct research and development in emerging technologies and trends across memory, computing, interconnect, and AI/ML, ensuring that our platforms are always equipped to handle the most demanding workloads of the future. By working together as a dedicated and passionate team, we aim to revolutionize the way AI/ML applications are deployed and executed, ultimately contributing to the advancement of AGI in an affordable and sustainable manner. Join us in our passion to shape the future of computing!
Location: Daily onsite presence at our San Jose, CA office / U.S. headquarters in alignment with our Flexible Work policy.
What You’ll Do
- Develop the verification infrastructure and automation environment involved in build, simulation, regression and triages.
- Lead the verification for IP blocks of an AI accelerator by working with architects and RTL engineers.
- Create direct or random testbench, define verification scope and test plans for both functional and performance validation, close the verification quality metrics.
- Provide comprehensive documentation of verification strategy and ensure test environment is easy to use.
- Mentor junior engineers when necessary
- Work cross-functionally in debugging failures with design, compiler and simulation engineers
What You Bring
- Bachelor’s with 15+ years, or Master’s with 13+ years, or PhD's with 10+ years of industry experience.
- Strong background in SoC or IP verification and test bench development using UVM, System Verilog, C/C++ and scripting languages such as Perl/Python.
- Experience verifying at multiple levels of logic from scratch, starting from complex IP blocks to dies to SoCs to full system testing
- Understanding RTL and strong overall debugging skills
- Prior experience with computational logic, interconnect networks and/or memory system is desirable
- Strong background in microarchitecture and computer architecture preferably in the area of AI accelerators
- Knowledge of FPGA and emulation platforms preferred
- Strong analytical and problem-solving skills
- Excellent communication and interpersonal skills
- Ability to work independently and as part of a team
- You’re inclusive, adapting your style to the situation and diverse global norms of our people.
- An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
- You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
#LI-VL1
What We Offer
The pay range below is for all roles at this level across all US locations and functions. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. We also offer incentive opportunities that reward employees based on individual and company performance.
This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision/401k, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours.
Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community.
Enjoy Time Away You’ll start with 4+ weeks of paid time off a year, plus holidays and sick leave, to rest and recharge.
Care for Family Whatever family means to you, we want to support you along the way—including a stipend for fertility care or adoption, medical travel support, and virtual vet care for your fur babies.
Prioritize Emotional Wellness With on-demand apps and free confidential therapy sessions, you’ll have support no matter where you are.
Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier.
Embrace Flexibility Benefits are best when you have the space to use them. That’s why we facilitate a flexible environment so you can find the right balance for you.
Equal Opportunity Employment Policy
Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status.
When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations.
Recruiting Agency Policy
We do not accept unsolicited resumes. Only authorized recruitment agencies that have a current and valid agreement with Samsung Semiconductor, Inc. are permitted to submit resumes for any job openings.
Applicant AI Use Policy
At Samsung Semiconductor, we support innovation and technology. However, to ensure a fair and authentic assessment, we prohibit the use of generative AI tools to misrepresent a candidate's true skills and qualifications. Permitted uses are limited to basic preparation, grammar, and research, but all submitted content and interview responses must reflect the candidate’s genuine abilities and experience. Violation of this policy may result in immediate disqualification from the hiring process.
Applicant Privacy Policy
https://semiconductor.samsung.com/about-us/careers/us/privacy/
Ready to apply?
Apply to Samsung Semiconductor
Senior Staff Engineer, RTL Memory Centric Computing
Share this job
Please Note:
To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period.
Advancing the World’s Technology Together
Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you’ll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what’s possible and powering the future.
We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We’re dedicated to empowering people to be their true selves. Together, we’re building a better tomorrow for our employees, customers, partners, and communities.
The AGI (Artificial General Intelligence) Computing Lab is dedicated to solving the complex system-level challenges posed by the growing demands of future AI/ML workloads. Our team is committed to designing and developing scalable platforms that can effectively handle the computational and memory requirements of these workloads while minimizing energy consumption and maximizing performance. To achieve this goal, we collaborate closely with both hardware and software engineers to identify and address the unique challenges posed by AI/ML workloads and to explore new computing abstractions that can provide a better balance between the hardware and software components of our systems. Additionally, we continuously conduct research and development in emerging technologies and trends across memory, computing, interconnect, and AI/ML, ensuring that our platforms are always equipped to handle the most demanding workloads of the future. By working together as a dedicated and passionate team, we aim to revolutionize the way AI/ML applications are deployed and executed, ultimately contributing to the advancement of AGI in an affordable and sustainable manner. Join us in our passion to shape the future of computing!
We are looking for a Senior Engineer, RTL Memory Centric Computing. This role is being offered under the AGICL lab as a part of DSRA. We are a research-driven systems lab working at the intersection of large language models, accelerator hardware, and high-performance software stacks. Our mission is to design, prototype, and optimize next-generation AI systems through tight hardware–software co-design.
Location: Daily onsite presence at our San Jose, CA office / U.S. headquarters in alignment with our Flexible Work policy.
What You’ll Do
- Develop IP for memory centric computing systems using Verilog, System Verilog and HLS
- Optimize the IP for performance, power, and area by leveraging advanced design techniques such as pipelining, parallelism, and data compression.
- Collaborate with Verification engineers to design and develop test plans
- Make design decisions out of a large design trade-off space across performance, power, thermal, and cost.
- Troubleshoot and debug hardware issues and ensure the quality of the design through verification and validation.
- Stay up-to-date with the latest advancements in machine learning and hardware architecture and contribute to the development of new technologies.
- Communicate effectively with stakeholders, including users, partners, and management, to ensure that the systems are delivered on time and within budget
- Complete other responsibilities as assigned.
What You Bring
- Bachelor’s with 15+ years, or Master’s with 13+ years, or PhD's with 10+ years of industry experience.
- Strong background in microarchitecture and computer architecture
- 5+ years of experience in front-end design methodology involving RTL development for complex control and data path IPs
- Experience in designing Memory Controller, NOC, Interconnect IP
- Experience in Memory Centric computing IP and SOC integration
- Experience in AI/ML workloads.
- Strong analytical and problem-solving skills
- Excellent communication and interpersonal skills
- Ability to work independently and as part of a team
- You’re inclusive, adapting your style to the situation and diverse global norms of our people.
- An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
- You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
- Innovative and creative, you proactively explore new ideas and adapt quickly to change
#LI-VL1
What We Offer
The pay range below is for all roles at this level across all US locations and functions. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. We also offer incentive opportunities that reward employees based on individual and company performance.
This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision/401k, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours.
Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community.
Enjoy Time Away You’ll start with 4+ weeks of paid time off a year, plus holidays and sick leave, to rest and recharge.
Care for Family Whatever family means to you, we want to support you along the way—including a stipend for fertility care or adoption, medical travel support, and virtual vet care for your fur babies.
Prioritize Emotional Wellness With on-demand apps and free confidential therapy sessions, you’ll have support no matter where you are.
Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier.
Embrace Flexibility Benefits are best when you have the space to use them. That’s why we facilitate a flexible environment so you can find the right balance for you.
Equal Opportunity Employment Policy
Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status.
When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations.
Recruiting Agency Policy
We do not accept unsolicited resumes. Only authorized recruitment agencies that have a current and valid agreement with Samsung Semiconductor, Inc. are permitted to submit resumes for any job openings.
Applicant AI Use Policy
At Samsung Semiconductor, we support innovation and technology. However, to ensure a fair and authentic assessment, we prohibit the use of generative AI tools to misrepresent a candidate's true skills and qualifications. Permitted uses are limited to basic preparation, grammar, and research, but all submitted content and interview responses must reflect the candidate’s genuine abilities and experience. Violation of this policy may result in immediate disqualification from the hiring process.
Applicant Privacy Policy
https://semiconductor.samsung.com/about-us/careers/us/privacy/
Ready to apply?
Apply to Samsung Semiconductor
Staff, CPU Architecture & Performance Research Engineer
Share this job
Please Note:
To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period.
Advancing the World’s Technology Together
Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you’ll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what’s possible and powering the future.
We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We’re dedicated to empowering people to be their true selves. Together, we’re building a better tomorrow for our employees, customers, partners, and communities.
Staff, CPU Architecture & Performance Research Engineer
What You’ll Do
Architecture Research Lab is looking for Staff CPU Architecture & Performance Engineer to drive detailed performance analysis and architectural optimization for current and next-generation CPU (RISC-V) cores. This role focuses on deep ownership of performance-critical micro-architectural domains, workload analysis, and data-driven recommendations that influence core architecture decisions.
You will work closely with architects, design, compiler, and system teams to evaluate trade-offs, identify bottlenecks, and improve performance across real-world workloads
Location: Daily onsite presence at our San Jose office in alignment with our Flexible Work policy
Job ID: 42850
- Own performance analysis for one or more CPU microarchitectural domains (e.g., frontend, execution engine, memory subsystem).
- Build, extend, and validate architectural performance models and simulators.
- Perform CPI/IPC breakdowns and root-cause performance bottlenecks.
- Evaluate microarchitectural features and optimizations using trace-driven, analytical, and cycle-accurate models.
- Characterize workloads and benchmarks (SPEC, server, client, AI/ML, internal traces).
- Translate performance data into clear architectural recommendations.
- Work leading to patents and publication.
What You Bring
- Master’s in Computer Engineering, Computer Science or related filed with 8+ years of experience or PhD in Computer Engineering, Computer Science, or related field with 5+ years of experience.
- 5+ years of experience in CPU microarchitecture and/or performance engineering.
- Experience with RISC-V, ARM or X86 architectures.
- Strong understanding of:
- Out-of-order execution, branch prediction, pipelines, and speculation
- Cache coherence, memory systems, prefetching, and NUMA effects
- Hands-on experience with architectural simulators (like gem5).
- Strong programming skills in C/C++ and Python.
- Experience analyzing large performance datasets and traces.
- Familiarity with compiler optimizations and hardware/software co-design..
- Proven ability - prior tapeout experience.
Preferred Qualifications
- Background in power/performance/area (PPA) trade-off analysis.
- Experience / Familiarity with SIMD / Vectors / VME for AI inference workloads..
- Prior leadership guiding junior engineers.
- Prior patent / publication experience.
- You’re inclusive, adapting your style to the situation and diverse global norms of our people.
- You approach challenges with curiosity and resilience, seeking data to help build understanding.
- You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
- Innovative and creative, you proactively explore new ideas and adapt quickly to change.
#LI-SF1
What We Offer
The pay range below is for all roles at this level across all US locations and functions. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. We also offer incentive opportunities that reward employees based on individual and company performance.
This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision/401k, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours.
Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community.
Enjoy Time Away You’ll start with 4+ weeks of paid time off a year, plus holidays and sick leave, to rest and recharge.
Care for Family Whatever family means to you, we want to support you along the way—including a stipend for fertility care or adoption, medical travel support, and virtual vet care for your fur babies.
Prioritize Emotional Wellness With on-demand apps and free confidential therapy sessions, you’ll have support no matter where you are.
Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier.
Embrace Flexibility Benefits are best when you have the space to use them. That’s why we facilitate a flexible environment so you can find the right balance for you.
Equal Opportunity Employment Policy
Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status.
When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations.
Recruiting Agency Policy
We do not accept unsolicited resumes. Only authorized recruitment agencies that have a current and valid agreement with Samsung Semiconductor, Inc. are permitted to submit resumes for any job openings.
Applicant AI Use Policy
At Samsung Semiconductor, we support innovation and technology. However, to ensure a fair and authentic assessment, we prohibit the use of generative AI tools to misrepresent a candidate's true skills and qualifications. Permitted uses are limited to basic preparation, grammar, and research, but all submitted content and interview responses must reflect the candidate’s genuine abilities and experience. Violation of this policy may result in immediate disqualification from the hiring process.
Applicant Privacy Policy
https://semiconductor.samsung.com/about-us/careers/us/privacy/
Ready to apply?
Apply to Samsung Semiconductor
Staff Engineer, Design Verification
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Please Note:
To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period.
Advancing the World’s Technology Together
Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you’ll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what’s possible and powering the future.
We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We’re dedicated to empowering people to be their true selves. Together, we’re building a better tomorrow for our employees, customers, partners, and communities.
The AGI (Artificial General Intelligence) Computing Lab is dedicated to solving the complex system-level challenges posed by the growing demands of future AI/ML workloads. Our team is committed to designing and developing scalable platforms that can effectively handle the computational and memory requirements of these workloads while minimizing energy consumption and maximizing performance. To achieve this goal, we collaborate closely with both hardware and software engineers to identify and address the unique challenges posed by AI/ML workloads and to explore new computing abstractions that can provide a better balance between the hardware and software components of our systems. Additionally, we continuously conduct research and development in emerging technologies and trends across memory, computing, interconnect, and AI/ML, ensuring that our platforms are always equipped to handle the most demanding workloads of the future. By working together as a dedicated and passionate team, we aim to revolutionize the way AI/ML applications are deployed and executed, ultimately contributing to the advancement of AGI in an affordable and sustainable manner. Join us in our passion to shape the future of computing!
Location: Daily onsite presence at our San Jose, CA office / U.S. headquarters in alignment with our Flexible Work policy.
What You’ll Do
- Develop the verification infrastructure and automation environment involved in build, simulation, regression and triages.
- Lead the verification for IP blocks of an AI accelerator by working with architects and RTL engineers.
- Create direct or random testbench, define verification scope and test plans for both functional and performance validation, close the verification quality metrics.
- Provide comprehensive documentation of verification strategy and ensure test environment is easy to use.
- Mentor junior engineers when necessary
- Work cross-functionally in debugging failures with design, compiler and simulation engineers
What You Bring
- Bachelor’s with 10+ years, or Master’s with 8+ years, or PhD's with 5+ years of industry experience.
- Strong background in SoC or IP verification and test bench development using UVM, System Verilog, C/C++ and scripting languages such as Perl/Python.
- Experience verifying at multiple levels of logic from scratch, starting from complex IP blocks to dies to SoCs to full system testing
- Understanding RTL and strong overall debugging skills
- Prior experience with computational logic, interconnect networks and/or memory system is desirable
- Strong background in microarchitecture and computer architecture preferably in the area of AI accelerators
- Knowledge of FPGA and emulation platforms preferred
- Strong analytical and problem-solving skills
- Excellent communication and interpersonal skills
- Ability to work independently and as part of a team
- You’re inclusive, adapting your style to the situation and diverse global norms of our people.
- An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
- You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
#LI-VL1
What We Offer
The pay range below is for all roles at this level across all US locations and functions. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. We also offer incentive opportunities that reward employees based on individual and company performance.
This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision/401k, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours.
Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community.
Enjoy Time Away You’ll start with 4+ weeks of paid time off a year, plus holidays and sick leave, to rest and recharge.
Care for Family Whatever family means to you, we want to support you along the way—including a stipend for fertility care or adoption, medical travel support, and virtual vet care for your fur babies.
Prioritize Emotional Wellness With on-demand apps and free confidential therapy sessions, you’ll have support no matter where you are.
Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier.
Embrace Flexibility Benefits are best when you have the space to use them. That’s why we facilitate a flexible environment so you can find the right balance for you.
Equal Opportunity Employment Policy
Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status.
When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations.
Recruiting Agency Policy
We do not accept unsolicited resumes. Only authorized recruitment agencies that have a current and valid agreement with Samsung Semiconductor, Inc. are permitted to submit resumes for any job openings.
Applicant AI Use Policy
At Samsung Semiconductor, we support innovation and technology. However, to ensure a fair and authentic assessment, we prohibit the use of generative AI tools to misrepresent a candidate's true skills and qualifications. Permitted uses are limited to basic preparation, grammar, and research, but all submitted content and interview responses must reflect the candidate’s genuine abilities and experience. Violation of this policy may result in immediate disqualification from the hiring process.
Applicant Privacy Policy
https://semiconductor.samsung.com/about-us/careers/us/privacy/
Ready to apply?
Apply to Samsung Semiconductor
Staff Engineer, High-Speed I/O Analog-Mixed Circuit
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Please Note:
To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period.
Advancing the World’s Technology Together
Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you’ll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what’s possible and powering the future.
We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We’re dedicated to empowering people to be their true selves. Together, we’re building a better tomorrow for our employees, customers, partners, and communities.
Memory IO Lab is part of Samsung’s Memory Business Unit, the industry's all-time DRAM and NAND Flash leader both in technology as well as in volume. Memory IO’s vision is to provide memory interface technology solutions which can be adopted in DDR, LPDDR, GDDR, and more. We are an integral part of Samsung’s paramount R&D innovation engine. We work closely with cross-disciplinary development teams to bring feature innovation to product roadmaps.
Come and join the team that is providing the next generation IO tech solutions to support emerging machine learning applications, data analytics, and edge computing.
Location: Daily onsite presence at our San Jose headquarters in alignment with our Flexible Work policy
What You'll Do
- Hands on in analog circuit design, which includes circuit design, running simulations to confirm functionality and performance, and work with verification team to verify design. The mixed-signal designs will include but are not limited to the following: high-speed data converters, PLL, and SERDES.
- Guide layout floor-planning block and top level to optimize the overall performance; supervise the layout activities and give concise guidelines to layout engineers, need to be hands on in drawing layout if necessary.
- Ownership of circuit and system specifications.
- Simulate designs with state-of-the-art CAD tools.
- Document designs and simulation results.
What You Bring
- BS 10+ years experience, MS 8+years of experience, PhD 5+ years experience in Electrical Engineering, Computer Science preferred.
- 5+ years of experience working with system on chip architecture, high-speed serial interfaces, analog and mixed-signal circuit designs using advanced CMOS technology nodes.
- Prior experience in design of any one of the standard high speed interfaces like DDR, LPDDR, , GDDR, HBM I/O interface.
- Needs to be an expert in providing and understanding layout requirements of high speed circuits.
- Knowledge of all facets of high speed I/O design but specifically should include DLL / PLL / FFE / CTLE / DFE, output drivers , ODT, Duty cycle correction (DCC), Training/calibration to improve timing, high speed power design and low power design.
- Experience working closely with device/process team to define transistor specs
- The ideal individual must have proven ability to achieve results in a fast moving, dynamic environment.
- Ability to troubleshoot and analyze complex problems.
- Excellent communication (written and verbal) and interpersonal skills
- Experience in high frequency clock distribution design, implementation, and analysis.
- Deep understanding of PPA (performance, power, and area) trade-offs.
- Ability to handle EDA tools well, such as Cadence, MATLAB (Simulink), and EM tools
- Experience on silicon bring-up and automatic measurement using script
- Strong scripting and automation skills using Tcl/Perl. Knowledge of Python is a plus.
- Self-motivated problem-solver with an ability to work well in a team.
- You’re inclusive, adapting your style to the situation and diverse global norms of our people.
- An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
- You’re collaborative, building relationships, humbly offering support and openly welcoming approaches
- Innovative and creative, you proactively explore new ideas and adapt quickly to change.
#LI-SF1
What We Offer
The pay range below is for all roles at this level across all US locations and functions. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. We also offer incentive opportunities that reward employees based on individual and company performance.
This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision/401k, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours.
Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community.
Enjoy Time Away You’ll start with 4+ weeks of paid time off a year, plus holidays and sick leave, to rest and recharge.
Care for Family Whatever family means to you, we want to support you along the way—including a stipend for fertility care or adoption, medical travel support, and virtual vet care for your fur babies.
Prioritize Emotional Wellness With on-demand apps and free confidential therapy sessions, you’ll have support no matter where you are.
Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier.
Embrace Flexibility Benefits are best when you have the space to use them. That’s why we facilitate a flexible environment so you can find the right balance for you.
Equal Opportunity Employment Policy
Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status.
When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations.
Recruiting Agency Policy
We do not accept unsolicited resumes. Only authorized recruitment agencies that have a current and valid agreement with Samsung Semiconductor, Inc. are permitted to submit resumes for any job openings.
Applicant AI Use Policy
At Samsung Semiconductor, we support innovation and technology. However, to ensure a fair and authentic assessment, we prohibit the use of generative AI tools to misrepresent a candidate's true skills and qualifications. Permitted uses are limited to basic preparation, grammar, and research, but all submitted content and interview responses must reflect the candidate’s genuine abilities and experience. Violation of this policy may result in immediate disqualification from the hiring process.
Applicant Privacy Policy
https://semiconductor.samsung.com/about-us/careers/us/privacy/
Ready to apply?
Apply to Samsung Semiconductor
Staff Engineer, RTL Memory Centric Computing
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Please Note:
To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period.
Advancing the World’s Technology Together
Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you’ll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what’s possible and powering the future.
We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We’re dedicated to empowering people to be their true selves. Together, we’re building a better tomorrow for our employees, customers, partners, and communities.
The AGI (Artificial General Intelligence) Computing Lab is dedicated to solving the complex system-level challenges posed by the growing demands of future AI/ML workloads. Our team is committed to designing and developing scalable platforms that can effectively handle the computational and memory requirements of these workloads while minimizing energy consumption and maximizing performance. To achieve this goal, we collaborate closely with both hardware and software engineers to identify and address the unique challenges posed by AI/ML workloads and to explore new computing abstractions that can provide a better balance between the hardware and software components of our systems. Additionally, we continuously conduct research and development in emerging technologies and trends across memory, computing, interconnect, and AI/ML, ensuring that our platforms are always equipped to handle the most demanding workloads of the future. By working together as a dedicated and passionate team, we aim to revolutionize the way AI/ML applications are deployed and executed, ultimately contributing to the advancement of AGI in an affordable and sustainable manner. Join us in our passion to shape the future of computing!
We are looking for a Senior Engineer, RTL Memory Centric Computing. This role is being offered under the AGICL lab as a part of DSRA. We are a research-driven systems lab working at the intersection of large language models, accelerator hardware, and high-performance software stacks. Our mission is to design, prototype, and optimize next-generation AI systems through tight hardware–software co-design.
Location: Daily onsite presence at our San Jose, CA office / U.S. headquarters in alignment with our Flexible Work policy.
What You’ll Do
- Develop IP for memory centric computing systems using Verilog, System Verilog and HLS
- Optimize the IP for performance, power, and area by leveraging advanced design techniques such as pipelining, parallelism, and data compression.
- Collaborate with Verification engineers to design and develop test plans
- Make design decisions out of a large design trade-off space across performance, power, thermal, and cost.
- Troubleshoot and debug hardware issues and ensure the quality of the design through verification and validation.
- Stay up-to-date with the latest advancements in machine learning and hardware architecture and contribute to the development of new technologies.
- Communicate effectively with stakeholders, including users, partners, and management, to ensure that the systems are delivered on time and within budget
- Complete other responsibilities as assigned.
What You Bring
- Bachelor’s with 10+ years, or Master’s with 8+ years, or PhD's with 5+ years of industry experience.
- Strong background in microarchitecture and computer architecture
- 5+ years of experience in front-end design methodology involving RTL development for complex control and data path IPs
- Experience in designing Memory Controller, NOC, Interconnect IP
- Experience in Memory Centric computing IP and SOC integration
- Experience in AI/ML workloads.
- Strong analytical and problem-solving skills
- Excellent communication and interpersonal skills
- Ability to work independently and as part of a team
- You’re inclusive, adapting your style to the situation and diverse global norms of our people.
- An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
- You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
- Innovative and creative, you proactively explore new ideas and adapt quickly to change
#LI-VL1
What We Offer
The pay range below is for all roles at this level across all US locations and functions. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. We also offer incentive opportunities that reward employees based on individual and company performance.
This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision/401k, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours.
Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community.
Enjoy Time Away You’ll start with 4+ weeks of paid time off a year, plus holidays and sick leave, to rest and recharge.
Care for Family Whatever family means to you, we want to support you along the way—including a stipend for fertility care or adoption, medical travel support, and virtual vet care for your fur babies.
Prioritize Emotional Wellness With on-demand apps and free confidential therapy sessions, you’ll have support no matter where you are.
Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier.
Embrace Flexibility Benefits are best when you have the space to use them. That’s why we facilitate a flexible environment so you can find the right balance for you.
Equal Opportunity Employment Policy
Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status.
When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations.
Recruiting Agency Policy
We do not accept unsolicited resumes. Only authorized recruitment agencies that have a current and valid agreement with Samsung Semiconductor, Inc. are permitted to submit resumes for any job openings.
Applicant AI Use Policy
At Samsung Semiconductor, we support innovation and technology. However, to ensure a fair and authentic assessment, we prohibit the use of generative AI tools to misrepresent a candidate's true skills and qualifications. Permitted uses are limited to basic preparation, grammar, and research, but all submitted content and interview responses must reflect the candidate’s genuine abilities and experience. Violation of this policy may result in immediate disqualification from the hiring process.
Applicant Privacy Policy
https://semiconductor.samsung.com/about-us/careers/us/privacy/
Ready to apply?
Apply to Samsung Semiconductor
Staff Engineer, Test Development
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Please Note:
To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period.
Advancing the World’s Technology Together
Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you’ll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what’s possible and powering the future.
We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We’re dedicated to empowering people to be their true selves. Together, we’re building a better tomorrow for our employees, customers, partners, and communities.
The Technology Enabling Development Lab (TED) Our core development focus is the host interface firmware layer that sits in the intersection of system software and flash management firmware. This key host interface firmware technology drives Samsung’s breakthrough V-NAND technology and enables our customers to power performance-oriented, demanding, enterprise-class applications ranging from hyper-scale data centers, to big data processing, to software defined virtualized storage arrays and infrastructures.
Location: Daily onsite presence at our San Jose, CA office / U.S. headquarters in alignment with our Flexible Work policy.
What You’ll Do
- Develop black-box functional test coverage and test methodologies for NVMe SSD's.
- Debug, triage failures and work with FW Team to reproduce problems, design and run experiments.
- Analyze customer field issues and improve Functional test coverage where gaps are identified.
- Provide guidance to the Automation team and assist with test coverage integration into the existing framework.
- Must be able to work with local US and international customers and OEMs.
What You Bring
- Bachelors and 10+ yrs, Masters and 8+ yrs’ with focus in Computer Science, Computer Engineering, Electrical Engineering or equivalent.
- Strong programming experience, demonstrated proficiency in scripting languages such as Python, Bash, Linux shell scripts etc.
- Excellent verbal and written communication skills.
- Ability to work individually and in teams.
- Prior NVMe, PCIe knowledge or experience with one or more of the following storage-related technologies: NVM Express, PCI Express, NAND Flash/FTL .
- Knowledge of Enterprise storage/server systems, and proficiency in Linux.
- Expertise in storage test tools such as performance benchmarks, IO stress tools, protocol certifications, test execution and bug management tools.
- Relevant hands-on experience in embedded software or firmware development/testing, including storage devices or other embedded platforms.
- Familiarity and experience with agile development methodologies and practices, particularly in AI/ML-focused environments, is preferred.
- Hands-on experience with PCI protocol analyzers.
- Demonstrated ability to work as a team player, as part of a local and globally distributed team.
- You’re inclusive, adapting your style to the situation and diverse global norms of our people.
- An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
- You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
- Innovative and creative, you proactively explore new ideas and adapt quickly to change.
#LI-VL1
What We Offer
The pay range below is for all roles at this level across all US locations and functions. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. We also offer incentive opportunities that reward employees based on individual and company performance.
This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision/401k, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours.
Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community.
Enjoy Time Away You’ll start with 4+ weeks of paid time off a year, plus holidays and sick leave, to rest and recharge.
Care for Family Whatever family means to you, we want to support you along the way—including a stipend for fertility care or adoption, medical travel support, and virtual vet care for your fur babies.
Prioritize Emotional Wellness With on-demand apps and free confidential therapy sessions, you’ll have support no matter where you are.
Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier.
Embrace Flexibility Benefits are best when you have the space to use them. That’s why we facilitate a flexible environment so you can find the right balance for you.
Equal Opportunity Employment Policy
Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status.
When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations.
Recruiting Agency Policy
We do not accept unsolicited resumes. Only authorized recruitment agencies that have a current and valid agreement with Samsung Semiconductor, Inc. are permitted to submit resumes for any job openings.
Applicant AI Use Policy
At Samsung Semiconductor, we support innovation and technology. However, to ensure a fair and authentic assessment, we prohibit the use of generative AI tools to misrepresent a candidate's true skills and qualifications. Permitted uses are limited to basic preparation, grammar, and research, but all submitted content and interview responses must reflect the candidate’s genuine abilities and experience. Violation of this policy may result in immediate disqualification from the hiring process.
Applicant Privacy Policy
https://semiconductor.samsung.com/about-us/careers/us/privacy/
Ready to apply?
Apply to Samsung Semiconductor
Sr. Principal FTL Engineer
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At SK Hynix Memory Solution, we're at the forefront of semiconductor innovation, developing advanced memory solutions that power everything from smartphones to data centers. As a global leader in DRAM and NAND flash technologies, we drive the evolution of advancing mobile technology, empowering cloud computing, and pioneering future technologies. Our cutting-edge memory technologies are essential in today's most advanced electronic devices and IT infrastructure, enabling enhanced performance and user experiences across the digital landscape.
We're looking for innovative minds to join our mission of shaping the future of technology. At SK Hynix Memory, you'll be part of a team that's pioneering breakthrough memory solutions while maintaining a strong commitment to sustainability. We're not just adapting to technological change – we're driving it, with significant investments in artificial intelligence, machine learning, and eco-friendly solutions and operational practices. As we continue to expand our market presence and push the boundaries of what's possible in semiconductor technology, we invite you to be part of our journey to creating the next generation of memory solutions that will define the future of computing.
Job Responsibilities
- FTL (Flash Translation Layer) design, implement and debugging
- Design, implement, and evaluate real-time embedded system firmware for SSD products.
- Perform firmware code review, analysis and improvement.
- Perform firmware focused SSD system integration, performance profiling, validation and debugging.
- Perform failure analysis and corrective firmware actions via collaboration with other stakeholders until issue resolution.
Desired Skills and Experience:
- 3+ years of hands-on FTL development experience in SSD..
- 5+ years of development experience in embedded controller environments.
- QLC related experiences are preferred
- Proficient in firmware and software programming (C/C++, assembly, script languages)
- Experience with at least one storage protocol; PCIe/NVMe, SATA, SCSI
- Experience in the NAND flash storage device application and/or testing is a plus but not required
- Experience with firmware debugging tools such as JTAG and In-Circuit Emulator.
- Experience with multi-ARM core based development is a plus.
- Ability to work creatively and analytically in a problem- solving environment.
- Ability to jump into different areas of the system for investigation and analysis
- Good verbal and written skills for communication and documentation.
- Self-motivated, good team player.
Education
- BS in either Computer Science or Electrical Engineering; MS is preferred.
COMPENSATION: $180,000/yr - $240,000/yr
REGARDING COMPENSATION:
SK hynix memory solutions America Inc. offers you the opportunity to apply your skills to exciting projects while working with innovative teams. Our compensation package is complimented by a generous benefits package including medical, dental, vision, life insurance and a company 401(k) match, as well as cafeteria, onsite gym and much more. If you are motivated by technical challenges, we offer a collaborative work environment that encourages career growth.
The salary offered to a selected candidate will be tailored based on several factors, including the location, job grade, relevant knowledge, skills, and experience. We also take into account the internal equity among our current team members to ensure fairness and competitiveness
Ready to apply?
Apply to SK hynix memory solutions America Inc.
Sr. Principal FTL Engineer
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At SK Hynix Memory Solution, we're at the forefront of semiconductor innovation, developing advanced memory solutions that power everything from smartphones to data centers. As a global leader in DRAM and NAND flash technologies, we drive the evolution of advancing mobile technology, empowering cloud computing, and pioneering future technologies. Our cutting-edge memory technologies are essential in today's most advanced electronic devices and IT infrastructure, enabling enhanced performance and user experiences across the digital landscape.
We're looking for innovative minds to join our mission of shaping the future of technology. At SK Hynix Memory, you'll be part of a team that's pioneering breakthrough memory solutions while maintaining a strong commitment to sustainability. We're not just adapting to technological change – we're driving it, with significant investments in artificial intelligence, machine learning, and eco-friendly solutions and operational practices. As we continue to expand our market presence and push the boundaries of what's possible in semiconductor technology, we invite you to be part of our journey to creating the next generation of memory solutions that will define the future of computing.
Responsibilities
- FTL (Flash Translation Layer) design, implement and debugging
- Design, implement, and evaluate real-time embedded system firmware for SSD products.
- Perform firmware code review, analysis and improvement.
- Perform firmware focused SSD system integration, performance profiling, validation and debugging.
- Perform failure analysis and corrective firmware actions via collaboration with other stakeholders until issue resolution.
Desired Skills and Experience:
- 3+ years of hands-on FTL development experience in SSD..
- 5+ years of development experience in embedded controller environments.
- Proficient in firmware and software programming (C/C++, assembly, script languages)
- Experience with at least one storage protocol; PCIe/NVMe, SATA, SCSI
- Experience in the NAND flash storage device application and/or testing is a plus but not required
- Experience with firmware debugging tools such as JTAG and In-Circuit Emulator.
- Experience with multi-ARM core based development is a plus.
- Ability to work creatively and analytically in a problem- solving environment.
- Ability to jump into different areas of the system for investigation and analysis
- Good verbal and written skills for communication and documentation.
- Self-motivated, good team player.
Education
- BS in either Computer Science or Electrical Engineering; MS is preferred.
COMPENSATION: $180,000/yr - $240,000/yr
REGARDING COMPENSATION:
SK hynix memory solutions America Inc. offers you the opportunity to apply your skills to exciting projects while working with innovative teams. Our compensation package is complimented by a generous benefits package including medical, dental, vision, life insurance and a company 401(k) match, as well as cafeteria, onsite gym and much more. If you are motivated by technical challenges, we offer a collaborative work environment that encourages career growth.
The salary offered to a selected candidate will be tailored based on several factors, including the location, job grade, relevant knowledge, skills, and experience. We also take into account the internal equity among our current team members to ensure fairness and competitiveness
Ready to apply?
Apply to SK hynix memory solutions America Inc.
Archer is an aerospace company based in San Jose, California building an all-electric vertical takeoff and landing aircraft with a mission to advance the benefits of sustainable air mobility. We are designing, manufacturing, and operating an all-electric aircraft that can carry four passengers while producing minimal noise.
Our sights are set high and our problems are hard, and we believe that diversity in the workplace is what makes us smarter, drives better insights, and will ultimately lift us all to success. We are dedicated to cultivating an equitable and inclusive environment that embraces our differences, and supports and celebrates all of our team members.
What You’ll Do:
As a strong AI and ML fundamentalist who is an expert at developing cutting-edge AI solutions to complex problems, you will develop code that eventually integrates into production and be responsible for:
- Design, implement, and evaluate novel machine learning and deep learning algorithms.
- Iterate on AI model development; starting from the data needed for training, architecture, input/output representations, evaluation, and deployment.
- Collaborate with other researcher engineers to prototype and validate complex solutions from academic literature.
- Conduct experiments to benchmark new techniques and evaluate model behavior.
- Develop tools and frameworks to support scalable and reproducible research and development.
- Communicate research findings to leadership in a concise, and convincing manner.
- Stay current with the latest developments in AI/ML and identify relevant innovations.
- Assist in transitioning research prototypes into production-ready systems.
What You Need:
- M.S or PhD degree in Computer Science, or Computer Engineering with strong emphasis on AI and ML.
- Enjoys solving less-defined and complex problems
- Familiarity with good SW practices and development, including code quality, version control, etc.
- Very strong with ML frameworks such as Pytorch, or Tensorflow
- Good understanding of Transformer architectures, attention mechanisms, multi-modal foundation models, diffusion policies, fine-tuning, model distillation, mixture of experts, and other similar topics.
- Has strong ability to debug and determine requirements for AI models in terms of data, training, and evaluation.
- Is up to date with research literature and recent ML techniques and methodologies.
Bonus Qualifications:
- Experience with Reinforcement Learning, self-supervised training, and imitation learning is a plus.
- Experience developing VLA (Vision Language Action) models for robotic manipulation and mobility is a plus.
- Experience developing production AI models is a plus.
- Publications at top conferences are a plus.
Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications
At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $160,000.00 - $180,000.00 Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.
Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.
Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.
Information collected and processed as part of any job applications you choose to submit is subject to Archer's Candidate Privacy Policy.
Archer is unable to provide work visa sponsorship for this position at the present time.
Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.
Archer Aviation does not engage with external recruiting agencies/individual recruiters with whom it does not have a prior written agreement. Archer reserves the right to make use of any unsolicited resumes that it receives and bears no responsibility for payment of any fees asserted from the use of unsolicited resumes. If you are a recruiting agency or individual recruiter wishing to do business with Archer, please reach out to People@archer.com. All employment processes are managed by the Archer People Team.
Ready to apply?
Apply to Archer
Archer is an aerospace company based in San Jose, California building an all-electric vertical takeoff and landing aircraft with a mission to advance the benefits of sustainable air mobility. We are designing, manufacturing, and operating an all-electric aircraft that can carry four passengers while producing minimal noise.
Our sights are set high and our problems are hard, and we believe that diversity in the workplace is what makes us smarter, drives better insights, and will ultimately lift us all to success. We are dedicated to cultivating an equitable and inclusive environment that embraces our differences, and supports and celebrates all of our team members.
What You’ll Do:
As a Staff AI and ML fundamentalist who is an expert at developing cutting-edge AI solutions to complex problems, you will develop code that eventually integrates into production and be responsible for:
- Design, implement, and evaluate novel machine learning and deep learning algorithms.
- Iterate on AI model development; starting from the data needed for training, architecture, input/output representations, evaluation, and deployment.
- Collaborate with other researcher engineers to prototype and validate complex solutions from academic literature.
- Conduct experiments to benchmark new techniques and evaluate model behavior.
- Develop tools and frameworks to support scalable and reproducible research and development.
- Communicate research findings to leadership in a concise, and convincing manner.
- Stay current with the latest developments in AI/ML and identify relevant innovations.
- Assist in transitioning research prototypes into production-ready systems.
What You Need:
- M.S or PhD degree in Computer Science, or Computer Engineering with strong emphasis on AI and ML.
- Enjoys solving less-defined and complex problems
- Familiarity with good SW practices and development, including code quality, version control, etc.
- Very strong with ML frameworks such as Pytorch, or Tensorflow
- Good understanding of Transformer architectures, attention mechanisms, multi-modal foundation models, diffusion policies, fine-tuning, model distillation, mixture of experts, and other similar topics.
- Has strong ability to debug and determine requirements for AI models in terms of data, training, and evaluation.
- Is up to date with research literature and recent ML techniques and methodologies.
Bonus Qualifications:
- Experience with Reinforcement Learning, self-supervised training, and imitation learning is a plus.
- Experience developing VLA (Vision Language Action) models for robotic manipulation and mobility is a plus.
- Experience developing production AI models is a plus.
- Publications at top conferences are a plus.
Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications
At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $190,000 - $240,000 Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.
Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.
Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.
Information collected and processed as part of any job applications you choose to submit is subject to Archer's Candidate Privacy Policy.
Archer is unable to provide work visa sponsorship for this position at the present time.
Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.
Archer Aviation does not engage with external recruiting agencies/individual recruiters with whom it does not have a prior written agreement. Archer reserves the right to make use of any unsolicited resumes that it receives and bears no responsibility for payment of any fees asserted from the use of unsolicited resumes. If you are a recruiting agency or individual recruiter wishing to do business with Archer, please reach out to People@archer.com. All employment processes are managed by the Archer People Team.
Ready to apply?
Apply to Archer
Principal AI Research Engineer
Share this job
Archer is an aerospace company based in San Jose, California building an all-electric vertical takeoff and landing aircraft with a mission to advance the benefits of sustainable air mobility. We are designing, manufacturing, and operating an all-electric aircraft that can carry four passengers while producing minimal noise.
Our sights are set high and our problems are hard, and we believe that diversity in the workplace is what makes us smarter, drives better insights, and will ultimately lift us all to success. We are dedicated to cultivating an equitable and inclusive environment that embraces our differences, and supports and celebrates all of our team members.
What You’ll Do:
As a Principal AI and ML fundamentalist who is an expert at developing cutting-edge AI solutions to complex problems, you will develop code that eventually integrates into production and be responsible for:
- Design, implement, and evaluate novel machine learning and deep learning algorithms.
- Iterate on AI model development; starting from the data needed for training, architecture, input/output representations, evaluation, and deployment.
- Collaborate with other researcher engineers to prototype and validate complex solutions from academic literature.
- Conduct experiments to benchmark new techniques and evaluate model behavior.
- Develop tools and frameworks to support scalable and reproducible research and development.
- Communicate research findings to leadership in a concise, and convincing manner.
- Stay current with the latest developments in AI/ML and identify relevant innovations.
- Assist in transitioning research prototypes into production-ready systems.
What You Need:
- M.S or PhD degree in Computer Science, or Computer Engineering with strong emphasis on AI and ML.
- Enjoys solving less-defined and complex problems
- Familiarity with good SW practices and development, including code quality, version control, etc.
- Very strong with ML frameworks such as Pytorch, or Tensorflow
- Good understanding of Transformer architectures, attention mechanisms, multi-modal foundation models, diffusion policies, fine-tuning, model distillation, mixture of experts, and other similar topics.
- Has strong ability to debug and determine requirements for AI models in terms of data, training, and evaluation.
- Is up to date with research literature and recent ML techniques and methodologies.
Bonus Qualifications:
- Experience with Reinforcement Learning, self-supervised training, and imitation learning is a plus.
- Experience developing VLA (Vision Language Action) models for robotic manipulation and mobility is a plus.
- Experience developing production AI models is a plus.
- Publications at top conferences are a plus.
Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications
At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $270,000.00 - $340,000.00 Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.
Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.
Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.
Information collected and processed as part of any job applications you choose to submit is subject to Archer's Candidate Privacy Policy.
Archer is unable to provide work visa sponsorship for this position at the present time.
Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.
Archer Aviation does not engage with external recruiting agencies/individual recruiters with whom it does not have a prior written agreement. Archer reserves the right to make use of any unsolicited resumes that it receives and bears no responsibility for payment of any fees asserted from the use of unsolicited resumes. If you are a recruiting agency or individual recruiter wishing to do business with Archer, please reach out to People@archer.com. All employment processes are managed by the Archer People Team.
Ready to apply?
Apply to Archer
Archer is an aerospace company based in San Jose, California building an all-electric vertical takeoff and landing aircraft with a mission to advance the benefits of sustainable air mobility. We are designing, manufacturing, and operating an all-electric aircraft that can carry four passengers while producing minimal noise.
Our sights are set high and our problems are hard, and we believe that diversity in the workplace is what makes us smarter, drives better insights, and will ultimately lift us all to success. We are dedicated to cultivating an equitable and inclusive environment that embraces our differences, and supports and celebrates all of our team members.
What You’ll Do:
As a strong AI and ML fundamentalist who is an expert at developing cutting-edge AI solutions to complex problems, you will develop code that eventually integrates into production and be responsible for:
- Design, implement, and evaluate novel machine learning and deep learning algorithms.
- Iterate on AI model development; starting from the data needed for training, architecture, input/output representations, evaluation, and deployment.
- Collaborate with other researcher engineers to prototype and validate complex solutions from academic literature.
- Conduct experiments to benchmark new techniques and evaluate model behavior.
- Develop tools and frameworks to support scalable and reproducible research and development.
- Communicate research findings to leadership in a concise, and convincing manner.
- Stay current with the latest developments in AI/ML and identify relevant innovations.
- Assist in transitioning research prototypes into production-ready systems.
What You Need:
- M.S or PhD degree in Computer Science, or Computer Engineering with strong emphasis on AI and ML.
- Enjoys solving less-defined and complex problems
- Familiarity with good SW practices and development, including code quality, version control, etc.
- Very strong with ML frameworks such as Pytorch, or Tensorflow
- Good understanding of Transformer architectures, attention mechanisms, multi-modal foundation models, diffusion policies, fine-tuning, model distillation, mixture of experts, and other similar topics.
- Has strong ability to debug and determine requirements for AI models in terms of data, training, and evaluation.
- Is up to date with research literature and recent ML techniques and methodologies.
Bonus Qualifications:
- Experience with Reinforcement Learning, self-supervised training, and imitation learning is a plus.
- Experience developing VLA (Vision Language Action) models for robotic manipulation and mobility is a plus.
- Experience developing production AI models is a plus.
- Publications at top conferences are a plus.
Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications
At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $160,000.00 - $180,000.00 Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.
Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.
Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.
Information collected and processed as part of any job applications you choose to submit is subject to Archer's Candidate Privacy Policy.
Archer is unable to provide work visa sponsorship for this position at the present time.
Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.
Archer Aviation does not engage with external recruiting agencies/individual recruiters with whom it does not have a prior written agreement. Archer reserves the right to make use of any unsolicited resumes that it receives and bears no responsibility for payment of any fees asserted from the use of unsolicited resumes. If you are a recruiting agency or individual recruiter wishing to do business with Archer, please reach out to People@archer.com. All employment processes are managed by the Archer People Team.
Ready to apply?
Apply to Archer
Archer is an aerospace company based in San Jose, California building an all-electric vertical takeoff and landing aircraft with a mission to advance the benefits of sustainable air mobility. We are designing, manufacturing, and operating an all-electric aircraft that can carry four passengers while producing minimal noise.
Our sights are set high and our problems are hard, and we believe that diversity in the workplace is what makes us smarter, drives better insights, and will ultimately lift us all to success. We are dedicated to cultivating an equitable and inclusive environment that embraces our differences, and supports and celebrates all of our team members.
What You’ll Do:
We are looking for an experienced Data Engineer to specialize in aviation data and analytics, focusing on two critical areas: scalable and efficient processing of flight test data for rapid design iteration and near-real-time analysis of aircraft health data for predictive maintenance. This role is vital for accelerating our aircraft design and improvement processes through efficient, scalable data processing and for ensuring operational reliability and safety through advanced predictive analytics.
In this role, you will be tasked with various aspects of data engineering. In addition to the above, your responsibilities will include but not limited to the following.
- Architect, build, and optimize our data processing systems to ensure reliability, efficiency, and scalability
- Develop and optimize ETL processes, data models, and data architectures for data transformation, structures, metadata, and workload management
- Develop and maintain data models that support analytics, reporting, and custom app development
- Create robust data quality observability, monitoring, testing, and validation frameworks
- Engage actively with analytics teams and business stakeholders to understand their data needs, ensuring the data architecture supports decision-making processes effectively
- Support the integration of data systems with aircraft telemetry, flight testing, and operational systems
What You Need:
- Bachelor’s or Master’s degree in Computer Science, Aerospace Engineering, Data Analytics, or a related field
- At least 3 years experience in data or software engineering with background implementing best practices for SQL and programming languages (e.g. Python, Go, Rust)
- Experience designing and managing data warehouse / lakehouse architectures for high performance and low latency
- Led development of real-time data pipelines using Kafka or related technologies
- Expertise with one or more cloud data platforms (e.g., AWS, GCP, Azure)
- Deep understanding of data security and quality governance
- Deployed and scaled data workloads using Docker and Kubernetes, with the ability to manage compute resources for high-volume processing
- Familiarity with ERP systems and how to extract data to build custom tools & applications
- Knowledge of integrating Gen AI into production data workflows
- Exceptional analytical skills, attention to detail, and the ability to collaborate effectively across multidisciplinary teams
- Clear communication skills that are essential for working across diverse stakeholders
Bonus Qualifications:
- Solid foundation in machine learning and other data science fundamentals
- Familiarity with time series data applications and related technologies
- Experience with Infrastructure as Code (Terraform, CloudFormation)
- Advanced skills in predictive analytics and machine learning models for maintenance and anomaly detection
- Experience in aerospace or a related field, particularly with flight test data analysis and aircraft health monitoring
Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications
At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.
Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.
Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.
Custom Application Question:
In order to comply with U.S. export control laws and regulations, applicants for this position who are non-U.S. nationals (i.e. individuals who are not U.S. Citizens, Permanent Residents, Asylees, Refugees or members of a similar designation) may need to obtain an export-control license to access certain restricted data and/or information. To the best of your knowledge, is there a possibility that you may need to acquire an export-control license?
Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.
Information collected and processed as part of any job applications you choose to submit is subject to Archer's Candidate Privacy Policy.
Archer is unable to provide work visa sponsorship for this position at the present time.
Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.
Archer Aviation does not engage with external recruiting agencies/individual recruiters with whom it does not have a prior written agreement. Archer reserves the right to make use of any unsolicited resumes that it receives and bears no responsibility for payment of any fees asserted from the use of unsolicited resumes. If you are a recruiting agency or individual recruiter wishing to do business with Archer, please reach out to People@archer.com. All employment processes are managed by the Archer People Team.
Ready to apply?
Apply to Archer
Archer is an aerospace company based in San Jose, California building an all-electric vertical takeoff and landing aircraft with a mission to advance the benefits of sustainable air mobility. We are designing, manufacturing, and operating an all-electric aircraft that can carry four passengers while producing minimal noise.
Our sights are set high and our problems are hard, and we believe that diversity in the workplace is what makes us smarter, drives better insights, and will ultimately lift us all to success. We are dedicated to cultivating an equitable and inclusive environment that embraces our differences, and supports and celebrates all of our team members.
We are looking for a highly motivated and versatile Senior Platform Engineer to join our platform engineering team. This unique role is central to accelerating our product development lifecycle and operational efficiency. You will be instrumental in bridging the gap between development, infrastructure, and our burgeoning AI/ML initiatives, focusing on automation, self-service infrastructure, and workflow optimization. This position is ideal for an experienced engineer who thrives on creating leverage for others and tackling complex, interdisciplinary challenges.
Key Responsibilities:
CI/CD and Automation
- Design, implement, and maintain scalable and reliable CI/CD pipelines (e.g., using GitLab CI, GitHub Actions, Jenkins, Spinnaker) to ensure rapid and safe deployments across multiple environments.
- Drive the adoption of best practices for build management, testing automation, and deployment strategies (Canary, Blue/Green, etc.).
- Minimize deployment friction and cycle time for all engineering teams.
Self-Service Infrastructure & Provisioning
- Develop and champion self-service tooling and internal platforms (leveraging tools like Terraform, Ansible, Kubernetes, or equivalent cloud provider APIs) that empower development teams to provision and manage their own infrastructure resources securely and efficiently.
- Establish guardrails and policy-as-code to ensure compliance, cost efficiency, and security across all provisioned infrastructure.
AI Infrastructure Enhancement & Support
- Collaborate closely with AI/ML Engineers to improve the underlying platform used for model training, experimentation, and serving.
- Focus on the operationalization of MLOps pipelines, including data lineage tracking, feature store integration, and production model deployment automation.
- Assist in optimizing resource allocation (e.g., GPU usage, specialized hardware) for AI workloads.
Workflow Automation & Internal Tooling
- Architect and build automated workflows and bots, primarily within communication tools like Slack or Zoom, to streamline common engineering tasks (e.g., on-call handoffs, incident response, environment status checks, approval processes).
- Develop internal APIs and services that connect disparate engineering systems to enhance communication and cross-functional transparency.
Required Qualifications
- 5+ years of professional experience in Platform Engineering, DevOps, Site Reliability Engineering (SRE), or a related discipline.
- Deep expertise in cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code tools (Terraform strongly preferred).
- Expertise in containerization and orchestration technologies (Docker and Kubernetes).
- Proficiency in scripting and general-purpose programming languages (e.g., Python, Go, Bash).
- Extensive experience designing and managing CI/CD systems at scale.
- Proven track record of building internal developer platforms or self-service tools.
Preferred Qualifications
- Experience with AI/ML infrastructure, MLOps tooling, or data pipeline technologies (e.g., Airflow, Kubeflow, Vertex AI, SageMaker).
- Prior experience building conversational interfaces, bots, or workflow automation tools for platforms like Slack or Teams.
- Familiarity with distributed tracing, logging, and monitoring systems (e.g., Prometheus, Grafana, ELK stack, Datadog).
- Experience with security best practices in a cloud environment (IAM, network security, secrets management).
At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $144,000 - $175,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.
Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.
Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.
Information collected and processed as part of any job applications you choose to submit is subject to Archer's Candidate Privacy Policy.
Archer is unable to provide work visa sponsorship for this position at the present time.
Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.
Archer Aviation does not engage with external recruiting agencies/individual recruiters with whom it does not have a prior written agreement. Archer reserves the right to make use of any unsolicited resumes that it receives and bears no responsibility for payment of any fees asserted from the use of unsolicited resumes. If you are a recruiting agency or individual recruiter wishing to do business with Archer, please reach out to People@archer.com. All employment processes are managed by the Archer People Team.
Ready to apply?
Apply to Archer
Staff / Sr. Staff Engineer – Quality Assurance Test Engineer
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About the Company:
At SK Hynix Memory Solution, we're at the forefront of semiconductor innovation, developing advanced memory solutions that power everything from smartphones to data centers. As a global leader in DRAM and NAND flash technologies, we drive the evolution of advancing mobile technology, empowering cloud computing, and pioneering future technologies. Our cutting-edge memory technologies are essential in today's most advanced electronic devices and IT infrastructure, enabling enhanced performance and user experiences across the digital landscape.
We're looking for innovative minds to join our mission of shaping the future of technology. At SK Hynix Memory, you'll be part of a team that's pioneering breakthrough memory solutions while maintaining a strong commitment to sustainability. We're not just adapting to technological change – we're driving it, with significant investments in artificial intelligence, machine learning, and eco-friendly solutions and operational practices. As we continue to expand our market presence and push the boundaries of what's possible in semiconductor technology, we invite you to be part of our journey to creating the next generation of memory solutions that will define the future of computing.
About the Role:
SK Hynix Memory Solutions is a leading worldwide provider of NVMe storage solutions for enterprise and hyper-scale applications.We are looking for a highly motivated Staff or Sr Staff engineer who will be responsible for developing tests and test methodologies for validation of enterprise NVMe SSDs and its features. The engineer will also be responsible for the execution of the test suites, its initial failure analysis, and work with development and functional teams for issue resolution.
Responsibilities:
- Develop test plans for specific device/system under test based on NVMe/OCP specifications, PRD and Customer requirements.
- Build and maintain test setups and validation platforms for System Quality Assurance testing.
- Develop scripts and automate test cases, manage test suites, and automated regressions.
- Execute test cases as per test plans, and report results.
- File defects based on automated and manual testing, track bugs and work with development teams to resolve issues.
- Engage with 3rd party vendors for test suite updates, test development requests, test platform support/troubleshooting, and maintenance.
- Ensure quality of products being developed and delivered to the customers.
- Continuously learning and being aware of new features or functional changes from latest NVMe, OCP, PCIe, and industry or customer requirements.
Minimum Qualifications:
- 5+ years of work experience in the data storage industry (enterprise SSD/NVMe experience preferred).
- Familiarity with fundamental NVMe concepts such as Admin and IO commands, Log Pages, Power loss protection, Controller Level Resets, and Out-of-Band interface.
- Familiarity with storage test methodologies for NVMe, OCP, and PCIe requirements.
- Experience working with enterprise servers in Linux, ESXi, and Windows Server OS environments.
- Proficient with developing automating test scripts (Preferred languages: Python, C/C++, Bash).
Preferred Qualifications:
- Experience with NVMe SSDs and NVMe controllers.
- Experience in feature and functional verification of NVMe storage in different platforms and various File Systems.
- Experience utilizing 3rd party NVMe test tools are highly desired.
- Experience working with 3rd party NVMe test platforms and Protocol analysis tools such as Oakgate, SANBlaze, ULink, Teledyne LeCroy, SerialTek, TotalPhase, etc.
- Experience with Enterprise grade Servers, and various Operating Systems are highly desired.
- Experience in SSD Storage products' testing is highly preferred, with understanding of PCIe/NVMe/OCP Protocols and specifications.
- Experience working on Projects related to Solid State Drives in various OS environment (either Client / Server-Enterprise).
- Know how on usage pf AI tools and leveraging AI for improving work efficiency.
Education Requirement:
- Bachelor of Science in CS, EE, ME, or other applicable Engineering field.
REGARDING COMPENSATION:
SK hynix memory solutions America Inc. offers you the opportunity to apply your skills to exciting projects while working with innovative teams. Our compensation package is complimented by a generous benefits package including medical, dental, vision, life insurance and a company 401(k) match, as well as cafeteria, onsite gym and much more. If you are motivated by technical challenges, we offer a collaborative work environment that encourages career growth.
The salary offered to a selected candidate will be tailored based on several factors, including the location, job grade, relevant knowledge, skills, and experience. We also take into account the internal equity among our current team members to ensure fairness and competitiveness
Ready to apply?
Apply to SK hynix memory solutions America Inc.
Staff Condition Monitoring Engineer - Propulsion
Share this job
Archer is an aerospace company based in San Jose, California building an all-electric vertical takeoff and landing aircraft with a mission to advance the benefits of sustainable air mobility. We are designing, manufacturing, and operating an all-electric aircraft that can carry four passengers while producing minimal noise.
Our sights are set high and our problems are hard, and we believe that diversity in the workplace is what makes us smarter, drives better insights, and will ultimately lift us all to success. We are dedicated to cultivating an equitable and inclusive environment that embraces our differences, and supports and celebrates all of our team members.
As a Staff Condition Monitoring Engineer on our Electric Propulsion System team, you'll be at the forefront of solving complex challenges that directly impact the performance, safety, and evolution of Archer's cutting-edge electric aviation technology. This role combines expertise in vibration and health monitoring, predictive diagnostics, and powertrain design with strategic problem-solving to ensure our electric propulsion systems meet the highest standards of reliability and performance.
What You'll Do:
Data Analysis and Monitoring
- Review and analyze flight test data (vibration, thermal, structural) to support ongoing flight test campaigns
- Build and maintain robust analysis tools for processing flight and dynamometer test data
- Develop insights from complex datasets to inform design improvements and operational decisions
Algorithm Development and Implementation
- Own the development and implementation of onboard vibration and engine health monitoring algorithms
- Design predictive maintenance algorithms to optimize system reliability and performance
- Validate and refine monitoring systems throughout the design/development cycle
Leadership and Collaboration
- Lead by example, actively developing solutions alongside the team while providing technical oversight
- Collaborate with cross-functional team members to develop health monitoring metrics and analytical tools
- Work with systems, safety, and reliability teams to inform DFMEA and ensure requirements are properly validated and understood
- Mentor and/or oversee junior engineers
Testing and Validation
- Design and oversee validation and certification testing of vibration monitoring and other health monitoring functions
- Establish test protocols and acceptance criteria for health monitoring systems
- Support certification activities with regulatory authorities
External Partnership Management
- Manage relationships with outside flight instrumentation contractors and consultants
- Coordinate technical requirements and deliverables with external partners
What You Need:
Education and Experience
- Bachelor's degree in Mechanical Engineering, Aerospace Engineering, Electrical Engineering, or related field
- 8+ years of professional engineering experience in vibration analysis, structural or rotating equipment health monitoring, or related fields
- Experience with gearbox, turbine, or electric motor design, testing, or analysis for an automotive, aerospace, or defense application.
Technical Skills
- Proficiency with data analysis tools and programming languages (Python, MATLAB, or similar)
- Ability to build and maintain data analysis software tools while employing software development and version control (Git, Bitbucket, etc.) best practices.
- Expert understanding of vibration analysis and signal processing tools
- Experience with health monitoring algorithms and predictive maintenance techniques
- Knowledge of sensors, data acquisition systems, and instrumentation such as accelerometers, load cells, strain gauges, and oil debris sensors.
- Familiarity with gearbox systems and failure modes.
Communication and Organization
- Proven ability to organize and lead cross-functional technical initiatives
- Excellent presentation and communication skills to influence decision-making
- Capacity to translate complex technical concepts to clear, testable requirements
Additional Requirements
- Availability for domestic travel as needed
- Demonstrated commitment to safety and quality in engineering practices
Bonus Qualifications:
- Aerospace development and certification experience
- Strong grasp of electric and/or hybrid powertrains
- Experience with requirements writing and management using tools such as DOORS, Polarion, or similar requirements management software
- Experience as a technical team lead or team manager
- Familiarity with FAA or EASA certification processes
- Experience with machine learning or AI applications in predictive maintenance
At Archer, we aim to attract, retain, and motivate talent with the skills and leadership needed to grow our business. We drive a pay-for-performance culture and reward performance that support the Company's strategy. For this position, we are targeting a base pay range of $152,000 - $200,000. Actual compensation offered will be determined by job-related knowledge, skills, and experience.
Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.
Information collected and processed as part of any job applications you choose to submit is subject to Archer's Candidate Privacy Policy.
Archer is unable to provide work visa sponsorship for this position at the present time.
Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.
Archer Aviation does not engage with external recruiting agencies/individual recruiters with whom it does not have a prior written agreement. Archer reserves the right to make use of any unsolicited resumes that it receives and bears no responsibility for payment of any fees asserted from the use of unsolicited resumes. If you are a recruiting agency or individual recruiter wishing to do business with Archer, please reach out to People@archer.com. All employment processes are managed by the Archer People Team.
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IT Systems Administrator
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IT Systems Administrator
Sumo Logic's Cloud SIEM (Security Information and Event Management) platform provides comprehensive security visibility and analytics for modern cloud and hybrid environments. Leveraging advanced analytics and machine learning, our Cloud SIEM delivers real-time threat detection, incident response, and compliance management. Designed for scalability and efficiency, it seamlessly integrates with a wide range of security tools and data sources, enabling organizations to effectively manage and mitigate security risks while optimizing their security operations. Sumo Logic's Cloud SIEM empowers security teams to stay ahead of evolving threats and maintain robust security postures.
As an IT Systems Administrator, you will actively contribute to, execute for, and lead IT in the design and development of business insights and analytics solutions. You will be instrumental in helping us solve complex data visualization, modeling, curation, and reporting problems among Sumo Logic’s robust inventory of cloud services, data tooling, and business applications. You will work closely with a team of highly skilled individuals to deliver on high impact engagements at Sumo Logic, reporting directly to the Global Head of Infrastructure and Data and engaging projects under the guidance of the Lead IT Systems Engineer.
You are a strong IT operations expert who is passionate about scalable, resilient, secure, and cost-efficient data solutions. You care about delivering on customer requests with a high attention to detail, a sense of natural curiosity, and a focus on building lasting relationships. You are at home when helping the group come up with a better solution than you would as individuals and providing experienced guidance and insight to those around you. You are comfortable in a fast-moving environment with responsibility for global hardware and end user device needs, alongside a host of IT applications. Ideally, you have experience with performance, scalability, and reliability issues of 24x7 uptime systems and solutions.
Responsibilities:
- Deliver exceptional end user support via Helpdesk & Triage services, showcasing a strong dedication to promptly resolving issues and ensuring utmost customer satisfaction.
- Exhibit advanced expertise in overseeing user endpoints, emphasizing a high degree of security and functionality while consistently delivering effective endpoint management solutions.
- Spearhead the seamless integration of IT systems, focusing on optimizing operations and enhancing efficiency. Prove successful in implementing and fine-tuning integrations to meet organizational needs.
- Champion automation initiatives across IT operations to streamline processes and workflows. Show a history of implementing automation solutions that boost operational efficiency and reduce manual workloads.
- Manage the diverse user application portfolio with a keen focus on providing outstanding support and regular updates. Demonstrate expertise in ensuring applications align with user needs and contribute to operational success.
- Lead the provisioning of user accounts, maintaining a commitment to providing secure access to systems and applications. Demonstrate a track record of delivering provisioning services accurately and efficiently.
- Provide basic technical support for AWS Marketplace services, ensuring timely and effective assistance for customers. Exhibit a wealth of experience in supporting AWS products and services, prioritizing customer satisfaction throughout.
- Administer Atlassian environments at the system configuration level, within the IT operations department. Showcase a history of optimizing Atlassian administration and granularly configuring Jira to enhance team productivity and customer satisfaction.
- Collaborate with other IT teams as needed to drive forward joint efforts
Requirements:
- 3+ years of experience in providing End User Services, specializing in helpdesk & triage support, with a strong emphasis on carefully executing Jira tickets and delivering high quality and reusable Confluence documentation
- Proficiency in user endpoint management tools such as JAMF, with a proven track record of successful endpoint management
- Demonstrated expertise in IT system integrations, showcasing the ability to integrate various systems for enhanced performance and efficiency
- Strong familiarity with IT automations, including scripting languages like BASH and Powershell, and a history of implementing automation solutions
- Experience in user application portfolio management, ensuring effective support and updates for user applications
- Knowledge of user provisioning processes, particularly utilizing Okta for secure and efficient provisioning of user access
- Regular responsibility for AV equipment management as setup
- Basic AWS ability to provide technical support for marketplace services, with specific experience in AWS Marketplace technical support a bonus
- Proficiency in Atlassian Administration, including tools like Jira and Confluence, to manage tasks, issues, and documentation effectively
Desirable:
- Experience in cloud services and management
- AWS
- Azure
- GCP
- Experience managing security hardware devices such as cameras and door readers
- Experience working with and managing third party MSP relationships around hardware device management
- Understanding of ITIL processes and practices as well as vendor and contract management
About Us:
Sumo Logic, Inc., empowers the people who power modern, digital business. Sumo Logic enables customers to deliver reliable and secure cloud-native applications through its SaaS analytics platform. The Sumo Logic Continuous Intelligence Platform™ helps practitioners and developers ensure application reliability, secure, and protect against modern security threats, and gain insights into their cloud infrastructures. Customers worldwide rely on Sumo Logic to get powerful real-time analytics and insights across observability and security solutions for their cloud-native applications. For more information, visit www.sumologic.com.
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Aerodynamics Engineer, Modeling & Optimization
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Archer is an aerospace company based in San Jose, California building an all-electric vertical takeoff and landing aircraft with a mission to advance the benefits of sustainable air mobility. We are designing, manufacturing, and operating an all-electric aircraft that can carry four passengers while producing minimal noise.
Our sights are set high and our problems are hard, and we believe that diversity in the workplace is what makes us smarter, drives better insights, and will ultimately lift us all to success. We are dedicated to cultivating an equitable and inclusive environment that embraces our differences, and supports and celebrates all of our team members.
What you’ll do:
- Perform low/mid/high fidelity aerodynamic simulations of Archer eVTOL aircraft
- Develop linear/non-linear aerodynamic models to predict aircraft behavior and performance throughout the flight envelope
- Analyze experimental data (either from flight test or wind tunnel) to identify sources of model errors, validate, and improve aerodynamic models of the vehicle
- Develop efficient methods to feed flight test data back into aerodynamic simulation models of various fidelity and complexity
- Contribute to the development of Archer aerodynamic software stack, improving methods and workflows
- Coordinate with other cross-functional teams and pilots for flight simulator aerodynamic modeling updates and issue resolution
What you need:
- BS / MS / PhD in Aerospace Engineering or a related field
- 2+ years of experience with BS, or 1+ years of experience with MS, or 1+ years of experience with PhD modeling rotorcraft, tiltrotor, eVTOL aerodynamics at full-vehicle level
- Strong understanding of fundamentals of fixed-wing and rotorcraft aerodynamics, performance, stability & control
- Experience in eVTOL and/or multicopter vehicle aerodynamics design and analysis, including 6 DoF vehicle trimming and trajectory optimization
- Experience with gradient-based and gradient-free optimization techniques
- Experience with surrogate modeling techniques (like Kriging methods) and statistical analysis
- Experience with experimental data processing and reduction techniques
- Proficiency in Python programming
- Experience with software development, object-oriented, version control best practices, as well as Git, CICD, Conda
- Excellent work planning and issue resolution skills
- Strong technical, written, and verbal communication skills
- Ability to work in groups and individually
- Experience in a fast-paced design environment
Bonus Qualifications:
- Experience with developing, training, and optimizing neural networks or other machine learning models in the context of aerodynamic modeling
- Experience with wind tunnel and flight test campaigns planning, execution, and data processing, ideally matured on rotorcraft, tiltrotor, eVTOL program
- Work experience with rotorcraft comprehensive analysis tools, such as RCAS or CAMRAD2
- Work experience with NASA Overflow and Fun3D CFD software, including meshing
- Experience utilizing high-performance computing (HPC) to parallelize workflows
- Familiarity with conventional airplane Part 23/25 or rotorcraft Part 27/29 certification basis and test methods
- Familiarity with ASTM standards for fixed wing and rotorcraft
- Familiarity with Matlab/Simulink, and Fortran/C++ coding
At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $140,000 - $190,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.
Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.
Information collected and processed as part of any job applications you choose to submit is subject to Archer's Candidate Privacy Policy.
Archer is unable to provide work visa sponsorship for this position at the present time.
Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.
Archer Aviation does not engage with external recruiting agencies/individual recruiters with whom it does not have a prior written agreement. Archer reserves the right to make use of any unsolicited resumes that it receives and bears no responsibility for payment of any fees asserted from the use of unsolicited resumes. If you are a recruiting agency or individual recruiter wishing to do business with Archer, please reach out to People@archer.com. All employment processes are managed by the Archer People Team.
Ready to apply?
Apply to Archer
Senior Director System Validation Engineer
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Astera Labs (NASDAQ: ALAB) provides rack-scale AI infrastructure through purpose-built connectivity solutions. By collaborating with hyperscalers and ecosystem partners, Astera Labs enables organizations to unlock the full potential of modern AI. Astera Labs’ Intelligent Connectivity Platform integrates CXL®, Ethernet, NVLink, PCIe®, and UALink™ semiconductor-based technologies with the company’s COSMOS software suite to unify diverse components into cohesive, flexible systems that deliver end-to-end scale-up, and scale-out connectivity. The company’s custom connectivity solutions business complements its standards-based portfolio, enabling customers to deploy tailored architectures to meet their unique infrastructure requirements. Discover more at www.asteralabs.com.
Astera Labs is seeking an exceptional Senior Director System Validation to lead our AI Fabric Validation organization. Connectivity is a critical component of every AI accelerator deployment and hyperscale data center architecture. As part of the AI Fabric Engineering group, you will play a key role in ensuring that Astera Labs’ fabric solutions perform at scale and deliver system-level performance across the most demanding AI and ML workloads. This role offers a unique opportunity to shape validation strategy for cutting-edge connectivity silicon and gain deep insight into next-generation AI infrastructure platforms. Your primary responsibility will be to build and lead a world-class validation organization tasked with validating all silicon, firmware, and system-level solutions at scale, ensuring performance, reliability, and production readiness across customer deployments.
Job Description
- Seeking a strong technical leader who has delivered multiple SoC products.
- Lead and scale the system validation organization for Astera Labs' AI fabric portfolio, building a high-performing team across multiple concurrent product programs.
- Understand the performance and functionality requirements of our AI fabric switches to enable customers to develop Data Center systems using Astera Labs' connectivity products for AI and ML applications.
- Own comprehensive validation strategies for AI fabric switch products. Drive execution through scalable automation platforms and data-centric testing with automated reporting and specification compliance verification.
- Collaborate cross-functionally with Architecture, Hardware, Firmware, and Software teams to influence product requirements and ensure validation excellence.
- Ensure timely bring‑up of new silicon and platforms, driving root‑cause analysis and cross‑functional debug of hardware, firmware, and system issues.
- Deliver high‑confidence validation results that support product qualification, customer sampling, and mass production readiness.
- Engage directly with key customers to understand their requirements and highlight the unique capabilities of Astera Labs' solutions.
- The ideal candidate brings deep expertise in silicon/system validation, a strong architectural mindset, and a proven ability to scale organizations in fast‑moving, high‑performance computing environments.
- Work closely with silicon design, architecture, Firmware, software engineering teams to ensure cohesive validation strategies.
- Drive a culture of technical excellence, accountability, and continuous improvement.
- Manage resource planning, and vendor/partner relationships.
Basic Qualifications
- Strong academic background in Electrical or Computer Engineering. Bachelor's required, Master's preferred.
- ≥15 years' experience supporting or developing complex SoC/silicon products for Server, Storage, Networking applications and high‑performance hardware companies.
- ≥5 years hands-on experience with Silicon/System bring-up, validation, and debug, including in customer systems.
- ≥5 years building high performance Engineering teams and validation methodologies.
- Deep understanding of CPU, GPU, SoC, or AI/ML accelerator architectures, including memory subsystems, I/O, power management, and firmware interactions.
- Expertise in validation methodologies: pre‑silicon simulation/emulation, post‑silicon bring‑up, system validation, stress testing, and performance characterization.
- Strong background in debug methodologies, lab infrastructure, and automation frameworks.
- Excellent communication skills and ability to influence executives and cross‑functional partners.
- Entrepreneurial, open-minded behavior and can-do attitude. Think and act with the customer in mind!
Preferred Experience
- ≥8 years leading validation teams planning, execution and maintaining project visibility.
- ≥10 years hands-on experience with Silicon/System bring-up, validation, and debug, including in customer systems.
- Thorough knowledge of high-speed protocols like PCIe, CXL, NVMe, or Ethernet.
- Deep understanding of High-Speed Signaling Principles and x86/ARM architecture, UEFI/Linux boot sequence.
The base salary range is $240,000 USD - $300,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
We know that creativity and innovation happen more often when teams include diverse ideas, backgrounds, and experiences, and we actively encourage everyone with relevant experience to apply, including people of color, LGBTQ+ and non-binary people, veterans, parents, and individuals with disabilities.
Ready to apply?
Apply to Astera Labs
ML/AI Ops Engineer
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Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands.
About the Role
We’re looking for an ML/AI Ops Engineer with 7+ years of experience to own the end-to-end operationalization of our ML/AI solutions, ensuring models move smoothly from development to scalable, reliable production products. In this role, you’ll design and automate CI/CD pipelines, build and optimize model lifecycle workflows, monitor deployed models for performance, drift, and reliability, and integrate intelligence products into various digital tools such as Copilot, Salesforce, and Tableau. You’ll collaborate closely with Data Scientists, Data Engineers, and Data Architects to transform high-quality research models into robust, production-grade products. This is a key role in shaping a modern ML/AI lifecycle—from CI/CD to high governance.
What You’ll Do
- Own the end-to-end operationalization of ML and AI solutions—from development to scalable, reliable production systemsthat integrateseamlessly with other digital tools.
• Design, automate, and maintain CI/CD pipelines for model training, testing, deployment, and retraining (Azure DevOps, Databricks).
• Build, optimize, and version model lifecycle workflows, ensuring reproducibility, lineage, and governance across the ML/AI platform.
• Monitor production models for performance, drift, reliability, and resource usage; implement automated retraining workflows.
• Optimize compute, storage, and orchestration across the Databricks platform to ensure efficient, cost-effective operations.
• Collaborate closely with ML/AI Scientists, Data Engineers, and DWH team to transform research-grade models into production-ready services.
• Contribute to advancing our ML/AI platform, tooling, automation standards, and best practices.
What You’ll Bring
- Solid experience in operationalizing ML/AI models, including deployment, automation, monitoring, and lifecycle management.
- Strong programming skills in Python,PySpark, and SQL with clean, efficient, production-ready code.
- Experienced in feature engineering with a practical understanding of data engineering fundamentals - designing, validating, and optimizing feature pipelines, and ensuring feature consistency
- Experience in building Vector embeddings & RAG systems.
- Familiarity in ML and LLM models development and libraries used.
- Experience with MLflow (or similar tools) for model tracking, registry management, and lifecycle operations.
- Familiarity with CI/CD pipelines (Azure DevOps preferred)
- Strong grasp of data versioning, model versioning, reproducibility, and data lineage within governed ML/AI environments.
- Experience designing, consuming, or integrating REST APIs to expose ML/AI models as services and support real-time or near-real-time inference.
- Experience monitoring production models, identifying drift or performance issues, and implementing corrective workflows.
- A collaborative, systems-thinking mindset, working closely with ML/AI Scientists, Data Engineers, and Data Warehouse team.
Bonus Skills
- Understanding ofdata quality frameworks and how they integrate into ML pipelines.
- Comfort with infrastructure-as-code for provisioning and managing ML/AI platform components.
- Working knowledge of Unix environments and general DevOps principles; exposure to Docker/Kubernetes is beneficial.
- Experience with real-time or near-real-time serving architectures, event-driven systems, or streaming-based inference.
- Experience with AI agent tools and MCP servers.
- Strong interest in contributing to internal ML/AI platform evolution, including tooling, automation, standards, and best practices.
What You’ll Get
- Two weeks of paid vacation, 12 statutory holidays, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
- Paid parental leave: 8 days for fathers, 122 days for birthing parents, 92 days for adoptive parents
- Medical, dental, and vision coverage fully funded through INS Premium for employees and dependents
- Mental health support, therapy sessions, and virtual care via our Employee Assistance Program
- Retirement and social security contributions through Costa Rica’s statutory programs
- Life insurance equal to 24x monthly salary, plus disability and funeral coverage
- Daily cafeteria subsidy
- Fertility, adoption, and surrogacy support, plus 24 paid volunteer hours through Veeam Cares
- Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning
#LI-CC1
Please note that any personal data collected from you during the recruitment process will be processed in accordance with our Recruiting Privacy Notice.
The Privacy Notice sets out the basis on which the personal data collected from you, or that you provide to us, will be processed by us in connection with our recruitment processes.
By applying for this position, you consent to the processing of your personal data in accordance with our Recruiting Privacy Notice.
By submitting your application, you acknowledge that the information provided in your job application and any supporting documents is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification of information may result in disqualification from consideration for employment or, if discovered after employment begins, termination of employment.
Ready to apply?
Apply to Veeam Software
Senior Machine Learning Engineer
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Innovate with purpose
At BILL, we believe in empowering the businesses that drive our economy. By replacing outdated financial processes with innovative tools, we help businesses—from startups to established brands—make smarter decisions and gain control of their operations. And we don’t stop there: we’re creating the future of financial automation so businesses can spend more time on what matters.
Working here means you become part of a vision-driven team that’s ready to tackle challenges and build cutting-edge solutions. We value purpose, drive, and curiosity—and we thrive in a fast-paced, ever-changing environment. Whether in one of our offices in San Jose, CA, Draper, UT, or in a remote-eligible role, BILLders collaborate to deliver real impact for businesses that need more time in their busy weeks.
BILL builds high performing teams and we seek to hire the best talent for every role. We're committed to building a workplace that fosters inclusion and diverse perspectives, valuing each person’s unique skills and experiences. We’d love to hear from you—you might be just what we’re looking for, whether in this role or another.
✨ Let’s give businesses more time for what matters.
Make your impact within a rapidly growing Fintech Company
Join BILL's AI Product Engineering team and help shape the future of intelligent financial automation. As a Senior Machine Learning Engineer, you'll play a pivotal role in designing, building, and deploying machine learning solutions that power BILL's next-generation products. This is an opportunity to work in a collaborative, high-impact environment where your expertise will directly influence the company's growth and the experience of millions of users.
Responsibilities:
- Design, develop, and deploy robust machine learning models to solve real-world business challenges in the fintech domain
- Collaborate cross-functionally with product managers, engineers, and data scientists to translate business requirements into scalable ML solutions
- Analyze complex datasets, identify patterns, and extract actionable insights to drive product innovation
- Evaluate, optimize, and monitor model performance in production, ensuring reliability and accuracy over time
- Contribute to the development and improvement of AI workflows, agentic evaluation and best practices within the team
- Document methodologies, experiments, and results to ensure knowledge sharing and reproducibility
- Mentor junior team members and share technical expertise to elevate team capabilities
We’d love to chat if you have:
- Proven experience building and deploying machine learning models in production environments
- Strong programming skills in Python and familiarity with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
- Previous experience with OCR extraction and NLP methodologies
- Knowledge of AI agents and strong experience with LLMs
- Ability to analyze and interpret large, complex datasets using statistical and data analysis techniques
- Excellent communication and collaboration skills, with a track record of working effectively in cross-functional teams
- A problem-solving mindset and a passion for continuous learning and innovation
Visa Sponsorship: Please note that this position is eligible for visa sponsorship.
#LI
The estimated salary range for this role is noted below for our San Jose based role. Our ranges for each role and job level are based on a variety of factors including candidate experience, expertise, and geographic location and may vary from the amounts listed above. The role is also eligible for a competitive benefits package that includes: medical, dental, vision, life and disability insurance, 401(k) retirement plan, flexible spending & health savings account, paid holidays, paid time off, and other company benefits.
What’s in it for you?
Redefining how businesses automate their work is a fast-paced, exciting, and fun environment. But we also have benefits and perks to ensure the magic isn’t only experienced by our customers, but by our employees as well.
Here is a preview of some of the amazing benefits here at BILL:
- 100% paid employee health, dental, and vision plans (choose HMO, PPO, or HDHP)
- HSA & FSA accounts
- Life Insurance, Long & Short-term disability coverage
- Employee Assistance Program (EAP)
- 11+ Observed holidays and wellness days and flexible time off
- Employee Stock Purchase Program with employee discounts
- Wellness & Fitness initiatives
- Employee recognition and referral programs
- And much more
Don’t believe us? Check out our culture, benefits, and teams on our career site, LinkedIn Life, or YouTube pages.
BILL is an Equal Opportunity Employer. We believe our best ideas come from the unique stories, perspectives, and experiences of our team members. We welcome people of all backgrounds, abilities, and identities to bring their authentic selves and contribute to our culture.
We are committed to a transparent, inclusive hiring process that reflects our values. If you need accommodations at any stage, please contact interviewaccommodations@hq.bill.com. To ensure a fair evaluation, our Candidate Integrity Policy prohibits the use of unapproved external assistance, including generative AI, during live interviews or assessments. Doing so will result in a review and potential disqualification.
Our Applicant Privacy Notice describes how BILL treats the personal information it receives from applicants.
Ready to apply?
Apply to BILL
Innovate with purpose
At BILL, we believe in empowering the businesses that drive our economy. By replacing outdated financial processes with innovative tools, we help businesses—from startups to established brands—make smarter decisions and gain control of their operations. And we don’t stop there: we’re creating the future of financial automation so businesses can spend more time on what matters.
Working here means you become part of a vision-driven team that’s ready to tackle challenges and build cutting-edge solutions. We value purpose, drive, and curiosity—and we thrive in a fast-paced, ever-changing environment. Whether in one of our offices in San Jose, CA, Draper, UT, or in a remote-eligible role, BILLders collaborate to deliver real impact for businesses that need more time in their busy weeks.
BILL builds high performing teams and we seek to hire the best talent for every role. We're committed to building a workplace that fosters inclusion and diverse perspectives, valuing each person’s unique skills and experiences. We’d love to hear from you—you might be just what we’re looking for, whether in this role or another.
✨ Let’s give businesses more time for what matters.
Make your impact within a rapidly growing Fintech Company
Join BILL's AI Product Engineering team and help shape the future of intelligent financial automation. As a Senior Machine Learning Engineer, you'll play a pivotal role in designing, building, and deploying machine learning solutions that power BILL's next-generation products. This is an opportunity to work in a collaborative, high-impact environment where your expertise will directly influence the company's growth and the experience of millions of users.
Responsibilities:
- Design, develop, and deploy robust machine learning models to solve real-world business challenges in the fintech domain
- Collaborate cross-functionally with product managers, engineers, and data scientists to translate business requirements into scalable ML solutions
- Analyze complex datasets, identify patterns, and extract actionable insights to drive product innovation
- Evaluate, optimize, and monitor model performance in production, ensuring reliability and accuracy over time
- Contribute to the development and improvement of AI workflows, agentic evaluation and best practices within the team
- Document methodologies, experiments, and results to ensure knowledge sharing and reproducibility
- Mentor junior team members and share technical expertise to elevate team capabilities
We’d love to chat if you have:
- Proven experience building and deploying machine learning models in production environments
- Strong programming skills in Python and familiarity with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
- Previous experience with OCR extraction and NLP methodologies
- Knowledge of AI agents and strong experience with LLMs
- Ability to analyze and interpret large, complex datasets using statistical and data analysis techniques
- Excellent communication and collaboration skills, with a track record of working effectively in cross-functional teams
- A problem-solving mindset and a passion for continuous learning and innovation
Visa Sponsorship: Please note that this position is eligible for visa sponsorship.
#LI
The estimated base salary range for this role is noted below for our office location in Draper, UT. Additionally, this role is eligible to participate in BILL’s bonus and equity plan. Our ranges for each role and job level are based on a variety of factors including candidate experience, expertise, and geographic location and may vary from the amounts listed above. The role is also eligible for a competitive benefits package that includes: medical, dental, vision, life and disability insurance, 401(k) retirement plan, flexible spending & health savings account, paid holidays, paid time off, and other company benefits.
What’s in it for you?
Redefining how businesses automate their work is a fast-paced, exciting, and fun environment. But we also have benefits and perks to ensure the magic isn’t only experienced by our customers, but by our employees as well.
Here is a preview of some of the amazing benefits here at BILL:
- 100% paid employee health, dental, and vision plans (choose HMO, PPO, or HDHP)
- HSA & FSA accounts
- Life Insurance, Long & Short-term disability coverage
- Employee Assistance Program (EAP)
- 11+ Observed holidays and wellness days and flexible time off
- Employee Stock Purchase Program with employee discounts
- Wellness & Fitness initiatives
- Employee recognition and referral programs
- And much more
Don’t believe us? Check out our culture, benefits, and teams on our career site, LinkedIn Life, or YouTube pages.
BILL is an Equal Opportunity Employer. We believe our best ideas come from the unique stories, perspectives, and experiences of our team members. We welcome people of all backgrounds, abilities, and identities to bring their authentic selves and contribute to our culture.
We are committed to a transparent, inclusive hiring process that reflects our values. If you need accommodations at any stage, please contact interviewaccommodations@hq.bill.com. To ensure a fair evaluation, our Candidate Integrity Policy prohibits the use of unapproved external assistance, including generative AI, during live interviews or assessments. Doing so will result in a review and potential disqualification.
Our Applicant Privacy Notice describes how BILL treats the personal information it receives from applicants.
Ready to apply?
Apply to BILL
Senior Software Engineer - Payments Platform
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Innovate with purpose
At BILL, we believe in empowering the businesses that drive our economy. By replacing outdated financial processes with innovative tools, we help businesses—from startups to established brands—make smarter decisions and gain control of their operations. And we don’t stop there: we’re creating the future of financial automation so businesses can spend more time on what matters.
Working here means you become part of a vision-driven team that’s ready to tackle challenges and build cutting-edge solutions. We value purpose, drive, and curiosity—and we thrive in a fast-paced, ever-changing environment. Whether in one of our offices in San Jose, CA, Draper, UT, or in a remote-eligible role, BILLders collaborate to deliver real impact for businesses that need more time in their busy weeks.
BILL builds high performing teams and we seek to hire the best talent for every role. We're committed to building a workplace that fosters inclusion and diverse perspectives, valuing each person’s unique skills and experiences. We’d love to hear from you—you might be just what we’re looking for, whether in this role or another.
✨ Let’s give businesses more time for what matters.
Make your impact within a rapidly growing Fintech Company
Resilient and innovative, the Payments Team functions as the backbone and revenue driver for Bill, playing a mission-critical role in moving over $300B+ annually across various payment methods. Payments team is doubling down on platform perspective and innovation to facilitate scaling needed for 10x growth for Bill, leveraging modernization and Gen AI technologies. If you're looking for a company that values work-life balance, offers career growth, values innovation, and provides endless opportunities to solve new challenges that make a difference in people's everyday lives, then Bill might be a place for you to explore!
We’d love to chat if you have:
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- At least 5 years of experience in software engineering.
- Experience leveraging Gen AI technologies to accelerate software engineering by designing prompts, rigorously evaluating outputs, and integrating LLMs
- Proven experience in leading the design and implementation of new platform services.
- Expertise in building and maintaining large-scale, high-volume, high-availability, low-latency systems.
- Strong understanding of security, compliance, and regulatory requirements.
- Demonstrated experience in the payment industry or supporting platform development.
- Proficiency in version control, code reviews, testing, and deployment automation.
- Ability to mentor and guide other engineers in best practices and advanced technical concepts.
- Experience with machine learning model integration and data pipeline design.
Visa Sponsorship: Please note that this position is not eligible for visa sponsorship. Applicants must have authorization to work in the United States without requiring visa sponsorship now or in the future.
The estimated salary range for this role is noted below for our San Jose based role. Our ranges for each role and job level are based on a variety of factors including candidate experience, expertise, and geographic location and may vary from the amounts listed above. The role is also eligible for a competitive benefits package that includes: medical, dental, vision, life and disability insurance, 401(k) retirement plan, flexible spending & health savings account, paid holidays, paid time off, and other company benefits.
What’s in it for you?
Redefining how businesses automate their work is a fast-paced, exciting, and fun environment. But we also have benefits and perks to ensure the magic isn’t only experienced by our customers, but by our employees as well.
Here is a preview of some of the amazing benefits here at BILL:
- 100% paid employee health, dental, and vision plans (choose HMO, PPO, or HDHP)
- HSA & FSA accounts
- Life Insurance, Long & Short-term disability coverage
- Employee Assistance Program (EAP)
- 11+ Observed holidays and wellness days and flexible time off
- Employee Stock Purchase Program with employee discounts
- Wellness & Fitness initiatives
- Employee recognition and referral programs
- And much more
Don’t believe us? Check out our culture, benefits, and teams on our career site, LinkedIn Life, or YouTube pages.
BILL is an Equal Opportunity Employer. We believe our best ideas come from the unique stories, perspectives, and experiences of our team members. We welcome people of all backgrounds, abilities, and identities to bring their authentic selves and contribute to our culture.
We are committed to a transparent, inclusive hiring process that reflects our values. If you need accommodations at any stage, please contact interviewaccommodations@hq.bill.com. To ensure a fair evaluation, our Candidate Integrity Policy prohibits the use of unapproved external assistance, including generative AI, during live interviews or assessments. Doing so will result in a review and potential disqualification.
Our Applicant Privacy Notice describes how BILL treats the personal information it receives from applicants.
Ready to apply?
Apply to BILL
Staff Artificial Intelligence Research Engineer - (SJ2026YM)
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Archer is an aerospace company based in San Jose, California building an all-electric vertical takeoff and landing aircraft with a mission to advance the benefits of sustainable air mobility. We are designing, manufacturing, and operating an all-electric aircraft that can carry four passengers while producing minimal noise.
Our sights are set high and our problems are hard, and we believe that diversity in the workplace is what makes us smarter, drives better insights, and will ultimately lift us all to success. We are dedicated to cultivating an equitable and inclusive environment that embraces our differences, and supports and celebrates all of our team members.
What You’ll Do
- Design, implement, and evaluate novel machine learning and deep learning algorithms, concentrating on Large Language Models (LLMs), automated speech recognition (transcription), and unified multimodal architectures.
- Iterate on AI model development, starting from the data needed for training, architecture, input/output representations, evaluation, and deployment for complex sequence-to-sequence and multimodal tasks.
- Collaborate with other research engineers to prototype and validate complex solutions from academic literature in natural language processing and speech.
- Conduct experiments to benchmark new techniques and evaluate model behavior.
- Develop tools and frameworks to support scalable and reproducible research and development.
- Communicate research findings to leadership in a concise, and convincing manner.
- Stay current with the latest developments in Generative AI and Speech/Language Models and identify relevant innovations.
- Assist in transitioning research prototypes into production-ready systems.
Minimum Education Requirement: Master’s degree in Artificial Intelligence, Computer Science, Computational Sciences, Machine Learning, Informatics.
Minimum Experience Requirements: AI/ML Engineer, Software Engineer, Research Scientist, AI Research Engineer or related job title in which 3 years of experience with developing and supporting production machine learning systems, including model deployment, monitoring, versioning, and retraining, using modern observability and experimentation tools (e.g., Grafana, Prometheus, Statsig); building ML and deep learning models using Python and PyTorch, including NLP tools (e.g., Huggingface, NLTK, spaCy, transformer-based models); with largescale data pipelines using distributed processing frameworks (e.g., Spark, Databricks); and collaborating with cross-functional teams to translate business requirements into ML solutions PLUS 1 year of experience developing computer vision or multimodal ML systems (e.g., OpenCV, YOLO, vision transformers) were gained.
Alternate Education Requirement: PhD in Artificial Intelligence, Computer Science, Computational Sciences, Machine Learning, Informatics.
Alternate Experience Requirements: AI/ML Engineer, Software Engineer, Research Scientist, AI Research Engineer or related job title in which 2 years of experience with developing and supporting production machine learning systems, including model deployment, monitoring, versioning, and retraining, using modern observability and experimentation tools (e.g., Grafana, Prometheus, Statsig); building ML and deep learning models using Python and PyTorch, including NLP tools (e.g., Huggingface, NLTK, spaCy, transformer-based models); with largescale data pipelines using distributed processing frameworks (e.g., Spark, Databricks); and collaborating with cross-functional teams to translate business requirements into ML solutions PLUS 1 year of experience developing computer vision or multimodal ML systems (e.g., OpenCV, YOLO, vision transformers) were gained.
Please apply online at: https://www.archer.com/careers. Must put job code SJ2026YM on resume/CV and cover letter.
At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. For this position we are offering $240,000 to $252,000 per year.
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Information collected and processed as part of any job applications you choose to submit is subject to Archer's Candidate Privacy Policy.
Archer is unable to provide work visa sponsorship for this position at the present time.
Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.
Archer Aviation does not engage with external recruiting agencies/individual recruiters with whom it does not have a prior written agreement. Archer reserves the right to make use of any unsolicited resumes that it receives and bears no responsibility for payment of any fees asserted from the use of unsolicited resumes. If you are a recruiting agency or individual recruiter wishing to do business with Archer, please reach out to People@archer.com. All employment processes are managed by the Archer People Team.
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