About the Team

Roku offers millions of options to our users: movies, episodes, news, sports, and channels from all around the world. The Roku Content Platform team 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 is why we’re actively looking for a Senior Software Engineer, Content Platform who can drive further innovation.

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 – including TV advertising – around the world, continued success relies on its investment in our capabilities.

We are seeking a highly experienced and skilled Senior Software 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 handle large-scale data effectively. The ideal candidate will have deep expertise in Java, distributed systems, and big data technologies, as well as 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.

For California Only - The estimated annual salary for this position is between $300,000 - $425,000 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

Design and Development:

• Architect, develop, and maintain scalable backend systems and APIs using Java and Akka.
• Build distributed data pipelines for batch and real-time data processing.
• Design efficient and scalable systems that process large volumes of data.

Big Data Expertise:

• Leverage big data technologies such as, Apache Spark, Kafka, Flink, and related tools to build high-performance data pipelines.
• Work on data transformation, ingestion, and integration for both structured and unstructured data.
• Implement solutions for data lake and data warehouse integrations.

Real-Time Processing:

• Develop and maintain real-time data processing applications to support business-critical use cases.
• Optimize real-time data flows for low latency and high throughput.

Java Expertise:

• Write clean, efficient, and reusable code in Java, adhering to industry best practices.
• Optimize Java applications for performance, scalability, and reliability.
• Leverage Java frameworks such as Spring Boot for backend development.

Monitoring and Optimization:

• Monitor, troubleshoot, and optimize backend and data systems to ensure high availability and reliability.
• Design and implement performance tuning strategies for large-scale distributed systems.

We're excited if you have

• 7+ years of experience in backend development and distributed data processing.
• Proven expertise in designing and building scalable systems with Java.
• Hands-on experience with Big Data technologies such as Spark, Kafka, and Flink.
• Proficiency in Java and Java-based frameworks (Spring, Spring Boot, etc.).
• Strong understanding of distributed systems and microservices architecture.
• Experience with cloud platforms like AWS, Azure, or Google Cloud.
• Familiarity with containerization and orchestration tools like Docker and Kubernetes.
• Knowledge of SQL and NoSQL databases (e.g., DynamoDB, or Aerospike).

#LI-JC5

About the team

Subscriptions are a key growth area for Roku and are a significant growth path. The subscription platform is part of every step of the customer journey from product placement, purchase, renewals, and viewing experience of digital content on TV and smart home products in domestic and international markets. It also empowers our partners with real-time subscription information, ensuring customers have a smooth purchase and viewing experience. In this role, as part of the subscriptions platform team, you will envision, architect, build, and run a highly available, fault-tolerant, efficient, and performant platform that scales to billions of viewers.

About the role 

In this role, you will lead the architecture and implementation of a highly available, fault‑tolerant, and performant subscriptions platform that scales to billions of viewers across AWS/GCP, owning key initiatives end‑to‑end while coding roughly 80% of the time. You’ll evaluate and adopt new technologies, design shared architectural layers (queuing, event systems, shared memory), and collaborate across Product, Engineering, QA, and Ops to deliver resilient services spanning streaming, APIs, notifications, and batch workloads. As a hands‑on technical leader, you will set engineering excellence by example, drive CI/CD automation and platform reuse, influence roadmap through cross‑team architectural discussions, and consistently turn complex requirements into reliable, well‑documented systems.

For California Only - The estimated annual salary for this position is between $186,000 - $388,000 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

• Lead the evaluation and implementation of new technologies and designs. Evaluate emerging technologies and seek innovative solutions to address existing and new challenges
• Engage in architectural discussions across multiple teams, influence the roadmap, and take ownership of key projects and initiatives 
• Providing technical leadership and expertise to drive platform capabilities to ensure high availability and scalability
• Demonstrate engineering excellence practice by setting expectations and leading by hands-on examples
• Own building platform features, driving directly with product and other engineering teams
• Own design and implementation of shared architectural layers (e.g., queuing, event systems, shared memory clusters) and libraries that can be used across teams
• Review technical specification documents, provide feedback, and collaborate for best in class solution
• Be an evangelist for best practices across all functions – developers, QA, and infrastructure/ops
• Be an evangelist for platform innovation and reuse
• Be actively involved in code/design reviews and expected to code 80% of the time

We’re excited if you have 

• 10+ years of experience in architecting, implementing, and running large-scale services, specifically in subscriptions, purchase, and billing domains
• Experience building systems of various workloads - streaming, API, notifications, batch, etc. 
• Expertise in various subscription flows, including tax, payment, purchase, renewal, dunning, cancellation, repurchase, and invoicing. 
• Strong architectural design experience, great track record of building a highly available and scalable subscription platform
• Strong expertise with cloud solutions/systems across cloud with AWS or GCP is a must 
• Strong experience in designing and leading the implementation of highly complex transactional systems, collaborating with teams across the organization
• Strong passion for technology and adding value to the bottom line through technology
• Strong passion & expertise with automation, including building and adopting CI/CD pipelines
• Experience with multi-cloud solutions is a plus, and the ability to offer technical guidance to design, deploy, and scale applications across multiple cloud environments
• Experience integrating with various streaming and subscription platforms like Amazon, Apple, Google, and Samsung is a plus

#LI-DH2

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

About the role

Roku’s leadership in streaming depends on delivering exceptional devices that combine the right hardware platforms with Roku OS to create simple, reliable, and delightful experiences. Roku is the #1 TV streaming platform in North America, and we’ve set our sights on powering every television in the world. Roku pioneered streaming to the TV.  

Our mission is to change the face of television and streaming media watching around the world. This role is tasked with leveraging hardware and software to create a unique viewing experience, one that turns users into raving fans.  

You will report directly to the Vice President of Software Engineering and serve as a key technical contributor for Roku’s device platform strategy, with a strong focus on high-quality software solutions.

We are looking for a highly skilled Lead Systems Software Architect who leads complex implementations for Roku TVs and streaming devices, grounded in a deep understanding of multimedia system design (video/audio pipelines, SoCs, memory, power, thermals). You will design, implement, debug, and optimize the software platform that spans the full system, ensuring it is performant, secure, and scalable across SKUs and generations. You will collaborate with ODM partners, chipset vendors, and internal software/hardware teams to drive products from concept to mass production.

The work we do can be challenging, but that’s why we enjoy it so much. The ideal candidate isn’t a bystander. They are curious and engaged, willing to jump in to solve problems and make data-driven decisions even when things feel very ambiguous. Our industry changes quickly, so we expect a great candidate to be comfortable responding quickly to changing business needs, knowing that their own success comes when the team succeeds.

For California Only - The estimated annual salary for this position is between $350,000 - $510,000 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

Software development & platform ownership 

• Own complex features or subsystems end-to-end, from design and implementation through bring-up, validation, and production support.
• Translate product and business goals into concrete designs, tasks, and implementation plans.
• Design, implement, and maintain core platform software for Roku device programs and platforms, with a strong focus on code quality, robustness, and long-term maintainability.
• Contribute to and influence hardware–software partitioning, platform APIs, and integration patterns to enable feature teams to build reliably on the device platform.
• Drive and model best practices for coding standards, code reviews, testing strategies, and CI/CD for platform software. 

Multimedia & system-level engineering 

• Implement and optimize video/audio pipelines, codecs, and rendering paths to deliver high-quality playback, low latency, and smooth UI/UX for streaming applications. 
• Contribute to end-to-end multimedia system design for TVs and streaming devices, ensuring solutions scale across SKUs and generations. 
• Define and help maintain benchmarks and test scenarios for media, graphics, and system behavior that map directly to Roku use cases. 
• Implement and maintain secure boot, DRM integrations, and standards-compliant content protection features in collaboration with security experts. 

Systems-aware implementation integrating hardware-software  

• Lead the product evaluation and enablement of candidate SoCs and companion chipsets, partnering with SoC vendors on performance, power, cost, and ecosystem maturity. 
• Implement and maintain drivers, HALs, and low-level services that expose the right hardware capabilities (media, graphics, connectivity, security) to Roku OS. 
• Drive early bring-up and debug of new SoCs and boards from a software perspective (boot chain, device drivers, board support packages, diagnostics). 
• Anticipate system-level failure modes (thermal, power, component tolerances, resource exhaustion) and implement software mitigations (throttling, graceful degradation, watchdogs, telemetry hooks). 

Performance engineering in constrained environments 

• Define and enforce memory, CPU/GPU/NPU, and storage budgets across SKUs, working closely with feature teams. 
• Use profiling tools, tracing, and telemetry to diagnose and fix performance bottlenecks across the stack (kernel, drivers, middleware, apps). 
• Implement optimizations to improve boot time, UI performance, streaming quality, and app responsiveness while staying within platform constraints. 

Quality, diagnostics, and observability 

• Partner with NPI, test, and manufacturing engineering to design and implement system-level validation strategies, test automation, and regression suites for your components. 
• Implement and refine diagnostics, logging, and telemetry that make field issues diagnosable and fixable at scale, including the platform hooks needed for AI-assisted troubleshooting. 
• Ensure the robustness and reliability of low-level software in production configurations, including robust error handling, recovery strategies, and safe update mechanisms. 

Cross-functional collaboration & technical leadership 

• Collaborate with OS, media, graphics, connectivity, security, and cloud/service teams to integrate platform features that meet product requirements. 
• Provide technical mentorship to other software engineers, especially around debugging complex system issues, performance tuning, and best practices for systems-level code. 
• Work closely with engineering leads to review designs, surface trade-offs, and de-risk implementations before they reach production. 
• Partner with SoC vendors and OEM/ODM partners from design through mass production, ensuring software deliverables, validation, and readiness meet Roku’s standards 

AI and system-level intelligence 

• Implement components in system-level AI/ML flows where AI is in the loop (e.g., quality monitoring, recommendations, anomaly detection, test selection).
• Specify and implement platform APIs and telemetry that enable AI tools to be effective across the device stack (logs, traces, metrics, events).

We’re excited if you have

Education & experience 

• BS/MS in Computer Science, Computer Engineering, Electrical Engineering, or related field. 
• 15+ years of industry experience in embedded systems-level software development, with a strong emphasis on hands-on software development for multimedia products. 
• Proven track record building and shipping AV products (TVs, set-top boxes, streaming devices, consoles, or similar) at scale. 

Software development & systems expertise 

• Strong experience with embedded Linux or Android-based systems 
• Proficiency in one or more systems programming languages such as C/C++ (Rust or similar is a plus), with deep experience in debugging, performance tuning, and maintainable code design. 
• Strong familiarity with modern SDLC practices: CI/CD, automated testing, static/dynamic analysis, continuous performance regression monitoring, and observability tooling. 

Multimedia & system knowledge 

• Deep understanding of ARM-based SoCs, multimedia pipelines, and system constraints (memory bandwidth/latency, storage performance, UI/frame-rate stability, thermal behavior). 
• Demonstrated ability to analyze and optimize system-level performance using profiling, tracing, and hardware counters. 
• Experience with DRM, content protection, secure boot, and related industry standards for streaming and TV products. 
• Experience collaborating with SoC vendors and ODM/OEM partners from design through mass production, especially around platform software deliverables and validation. 

AI, accelerators, and low-level platforms 

• Experience with NPU/DSP/AI accelerator blocks on embedded SoCs, including maximizing throughput and minimizing latency within real-world device constraints. 
• Ability to build or integrate end-to-end flows where AI is in the loop, particularly for diagnostics, performance optimization, or UX improvements. 
• Proficient in using AI tools for debugging, code review, test selection, and log analysis, and in implementing the platform hooks (APIs/telemetry) that those tools need. 

Hardware & board-level understanding (bonus) 

• Solid understanding of board-level design concepts (schematics/layout review, power and thermal design, signal integrity considerations, and interfaces such as I²C, USB, PCIe, and HDMI).
• Comfortable partnering with board design teams to translate software and system needs into board-level requirements and constraints, even though your primary focus is software 

How you work 

• Strong communication skills with the ability to explain complex software and system trade-offs to both technical and non-technical stakeholders. 
• A bias toward data-driven decisions, clear documentation, and repeatable processes. 
• Demonstrated ability to lead technically through code and design, influence cross-functional teams, and drive complex platform changes from concept to production.

#LI-SR2

Role

We are looking for a Director, People Business Partner - Technology to join our Business Partner department. This role is based in San Jose, CA (onsite Tuesday-Thursday) and reports to the VP of HR Business Partnering. As a strategic talent architect for our global Technology organization, you will partner directly with executive leadership to design and scale an organizational structure that fuels innovation. This is a high-impact leadership position requiring the executive presence to influence tech roadmaps and the analytical rigor to solve complex organizational challenges before they become roadblocks.

What you’ll do (Role Expectations)

• Act as a critical thought partner to tech executives across Product, Engineering, Innovation, IT, CISO, and AI, ensuring the talent strategy is inextricably linked to the product and engineering roadmap and workforce.
• Diagnose organizational health metrics and sentiment to gauge effectiveness and lead large-scale design initiatives that improve velocity, clarity, and innovation across global teams
• Leverage advanced data analytics and AI-driven tools to provide high-value talent and leadership insights, moving beyond historical reporting to forecast future business and talent needs
• Drive executive-level succession planning, leadership coaching and development, and performance culture designed to thrive in high-velocity technical environments
• Act as a strategic translator, independently driving high-impact collaboration across P&C Centers of Excellence and cross-functional partners to ensure the unique needs of the Technology org are seamlessly supported

Who You Are (Success Profile)

• 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. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
• 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 positive force. You approach hard problems with constructive energy and a 'can-do' spirit that is contagious, inspiring your team to stay focused on the solution.
• You think at scale. You connect your day-to-day work to the larger company mission and think globally. You build solutions, processes, and teams that are not just effective today but are built to last and support a high-growth, global organization.
• You are resilient and adaptable. You view change as an opportunity and setbacks as temporary. You maintain composure and focus in high-pressure situations, guiding yourself and your team through complexity with a steady, positive hand.

What We’re Looking for (Minimum Qualifications)

• 10+ years experience as a People and Culture Partner or HR Leader in a global, high growth, transformative Security or SaaS organization supporting complex Technology organizations (Engineering, Product, IT, etc)
• Demonstrated "Technical Weight" - you understand the nuances of R&D cycles and the evolving landscape of AI, allowing you to speak the language of tech leaders
• Proven ability to leverage data analytics to tell compelling stories, using data to justify strategic shifts to a highly skeptical, data-centric executive audience
• Strong executive presence with the "gravitas" to challenge senior leaders and the empathy to serve as the trusted and compassionate face of People & Culture
• Track record of independently leading large-scale organizational design initiatives, executive-level succession planning, and navigating complex, global talent challenges

What Will Make You Stand Out (Preferred Qualifications)

• Experience actively modernizing People & Culture practices by identifying and integrating AI-driven tools into daily HR analytics and talent insights
• Deep expertise in acting as a cross-functional "translator," successfully bridging the gap between high-velocity engineering cultures and specialized corporate functions (Finance, Legal, Compliance, and HR CoEs)
• Prior experience supporting innovation-heavy teams through rapid scaling or significant structural transformation

#LI-Hybrid #LI-AT4

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

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.

What You’ll Do

Lead cutting‑edge research on next‑generation AI system architectures. The role is responsible for end‑to‑end co‑design of AI workloads, system‑level modeling, hardware platforms, and high‑performance processors that leverage Samsung’s advanced memory technologies to eliminate capacity, bandwidth, and large‑scale communication bottlenecks.

Location: Daily onsite presence at our San Jose Headquarters in alignment with our Flexible Work policy

AI System Architecture Leadership

• Define system‑level architectures that solve memory‑capacity, bandwidth, and interconnect challenges for large AI workloads (e.g., large language models, recommendation systems).
• Build and maintain analytical and event‑driven simulation frameworks for compute‑memory‑network performance at rack scale.
• Conduct design‑space exploration and quantitative trade‑off studies (performance, power, cost) to guide architecture decisions.
• Partner with SAIT HQ teams to align modeling insights with real‑world AI system implementations.

RISC‑V CPU Architecture Leadership

• Architect high‑performance, out‑of‑order RISC‑V CPU cores that serve as host processors for AI computing systems.
• Drive IPC‑focused feature path‑finding; lead micro‑architecture research through performance‑model simulation and workload analysis.
• Produce detailed micro‑architecture specifications and guide cache/memory hierarchy design for optimal AI workload execution.

Research & Innovation Management

• Lead a multidisciplinary research team, set technical roadmaps, and ensure delivery of high‑impact publications.
• Present architectural insights and strategic recommendations to senior leadership and external partners.

What You Bring

• Education: Ph.D. in Computer Science, Electrical Engineering, or a related field.
• Experience: 10 + years in system‑level architecture research or large‑scale computing platform design, with a strong focus on AI workloads.
• Technical Expertise:
  • Performance modeling, event‑driven simulation, and quantitative analysis of compute‑memory‑interconnect systems.
  • Deep knowledge of modern CPU/accelerator architectures (RISC‑V, ARM, x86) and heterogeneous integration.
  • Proven ability to design rack‑scale AI system architectures that address memory, bandwidth, and interconnect constraints.
  • Proficiency with transaction‑level modeling (TLM) and event‑driven simulation for compute‑memory‑network co‑design.
  • Experience in large‑scale design‑space exploration and PPA (performance, power, area/cost) trade‑off analysis.
  • Expertise in architecture and micro‑architecture design of out‑of‑order CPUs.
  • Hands‑on experience with simulation tools and programming languages such as Python and C++.
• Communication Skills: Excellent written and verbal communication; proven ability to deliver technical presentations to senior stakeholders. 

Preferred Experience

• Proven track record of publishing high‑impact research papers.
• Experience influencing product roadmaps through architectural recommendations.
• Strong collaborative history with cross‑functional teams (hardware, software, memory technology). 
• 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

We are seeking a Staff Manufacturing System Analyst to lead the end-to-end solution, design, and delivery of integrated manufacturing technology solutions across SAP and non-SAP platforms. This role will serve as the single point of contact for providing application support for manufacturing application systems, co-ordination with business stakeholder to ensure production operations working seamlessly.

The role will partner closely with SAP cross functional, Manufacturing Engineering, Operations, Supply Chain, and Quality functions to ensure that technology solutions align with business objectives and enable future-state capabilities across our manufacturing footprint.

What you’ll do: 

• Manufacturing, Maintenance and Repair process: Have a deep understanding of Aircraft Assembly, Manufacturing, Maintenance and Repair process understanding. This includes both from engineering to shop floor manufacturing and scheduling.

• SAP PP-PEO module expertise: Possess in-depth knowledge of the SAP PP-PEO (Production Engineering and Operations) module within SAP, including production shop floor order management for integrated complex manufacturing, production planning, product costing, production scheduling, and logistics execution. Understand business processes and translate them into functional specifications within SAP PP-PEO module, and be conversant with the integration aspects

• Customization and configuration: Have a deep understanding of configure and customization of SAP PP-PEO to align with specific business requirements at Archer  Enhance existing functionality, develop new features, and implement changes to support manufacturing processes and integration with other business areas, cross system integrations as well as integrations with 3rd party systems such as SCADA, Team Center

• Integration and interface development: Collaborate with other SAP modules and external SAP and non-SAP systems at Archer to establish seamless integration and efficient data exchange. Develop interfaces and integration solutions to ensure data consistency and accuracy.

• Troubleshooting and support: Investigate and resolve issues related to SAP PP-PEO functionality, working closely with end-users at Archer to understand their needs and provide effective solutions. Offer technical support, troubleshoot problems, and implement enhancements to address system issues.
• Documentation and testing: Create and maintain technical documentation, including functional specifications, technical design documents, and test plans at Archer. Ensure solutions are fully tested through the various phases such as unit testing, integration testing, and support end-users during user acceptance testing.

What you need:

• 10+ years of experience in an SAP S4/HANA and MES Solution architecture.
• Demonstrated experience as an SAP PP or PEO Solution Architect.
• Proven track record of successfully installing PP/ PEO in previous projects.
• Experience with SAP S4/HANA is a must.
• At least 5 years of experience of architecting and delivering SAP PP-PEO solutions in a complex manufacturing environment.
• Strong knowledge of SAP PP-PEO modules and their integration with other SAP modules.
• Experience with shop floor integration, SCADA, and Teamcenter.
• Excellent communication and interpersonal skills.

Preferred Qualifications:

• SAP PEO, SAP PP, SAP WMS, Working  technical writing or documentation
• Bachelor or Master Education in a computer, engineering, or technical field or equivalent industry experience.
• Aviation and/or Automotive EV background will be a plus, not a mandatory requirement.

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 - $175,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

We are an equal-opportunity employer committed to creating a diverse and inclusive workplace. All qualified applicants will receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law, including those with a criminal history, in a manner consistent with the requirements of applicable state and local laws.

Role

We are looking for a Director, IT Strategy & Operations to join our team. This is a Hybrid (San Jose, CA, 3 days in a week) role, reporting to the VP of IT, Corporate Applications. You will be the primary owner of our long-term IT strategy and roadmap, and the connective tissue that ensures our technology investments translate into enterprise value. This is a high-visibility, high-impact role for a leader who thrives at the intersection of finance, enterprise strategy, and governance. You aren't just keeping the lights on; you are building the world-class foundation that enables IT to support Zscaler’s rapid growth trajectory.

What you’ll do (Role Expectations)

• Architect the Multi-Year Vision: Own the long-term IT strategy, aligning our technology roadmap with Zscaler’s hyper-growth trajectory to ensure IT is always ahead of business needs.
• Build the Financial Engine: Direct the multi-million dollar IT budget lifecycle. You’ll move beyond simple tracking and toward proactive financial management - ultimately ensuring every dollar is a wise investment in growth.
• Drive the Executive Pulse: Own the IT operating rhythms. You will facilitate Monthly Business Reviews with the CIO, Quarterly Business Reviews with the CEO, and other executive governance forums. You will be the strategic partner to IT leadership, ensuring our impact is visible, measured, and celebrated.
• Master the M&A Playbook: Lead the charge on SaaS integration planning for newly acquired companies, ensuring that new additions to the Zscaler family are integrated seamlessly and strategically.
• Establish a World-Class Foundation: Elevate IT governance and SOX controls from a requirement to a gold standard. You will build the frameworks that ensure our governance is as innovative as our technology.

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. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
• You operate with urgency. You understand that in a high-growth environment, speed and quality are not mutually exclusive. You have a relentless focus on execution and a bias for action, delivering high-impact results quickly to win for the customer and the team.
• You think at scale. You connect your day-to-day work to the larger company mission and think globally. You build solutions, processes, and teams that are not just effective today but are built to last and support a high-growth, global organization.
• You lead with integrity. You do the right thing, even when it’s hard. You hold yourself and others to a high standard of accountability and build trust by matching your words with consistent, transparent action.

What We’re Looking for (Minimum Qualifications)

• 8+ years of cross-functional leadership experience, ideally driving IT operations.
• Hands-on ownership of multi-million dollar IT budgets at the P&L or cost center level, utilizing financial systems like Coupa, Netsuite, and Adaptive.
• Experience managing a large SaaS portfolio - Vendor negotiation experience yielding measurable cost savings, and leading rationalization initiatives at a publicly traded company.
• Demonstrated leadership in owning SOX controls (ITGC).
• Executive presence with experience presenting to VP, SVP, and CIO stakeholders.

What Will Make You Stand Out (Preferred Qualifications)

• Lean Six Sigma or Scaled Agile (SAFe) certification
• M&A SaaS integration experience with a history of rationalizing acquired tech stacks
• Proficiency in Snowflake or Tableau for self-serve financial reporting

#LI-YC2 #LI-Hybrid

Role

We are looking for a Director of AI Strategy - Engineering Productivity to join our Engineering Operations team. This is a hybrid role based out of our San Jose, CA office (3 days a week in office), reporting to the Senior Director, Technical Program Management, Zero Trust Exchange. In this role, you will define and champion the company's AI strategy for engineering productivity by evaluating, securing, and integrating AI-driven developer tools and CI/CD pipeline enhancements. You will drive widespread engineering efficiency by replacing fragmented team practices with a unified enterprise governance model, measurable business metrics, and a structured budget for AI adoption.

What you’ll do (Role Expectations)

• Define and lead the Enterprise AI Strategy by developing a unified engineering governance model to standardize AI workflows, prompting techniques, and QA frameworks
• Lead the hands-on evaluation, selection, and rollout of AI developer tools while driving consensus to consolidate vendors and manage a dedicated productivity budget
• Architect AI-enhanced CI/CD pipelines by integrating AI agents and advanced automation while establishing business-oriented metrics to measure tangible impact
• Partner cross-functionally with Security and IT teams to ensure all AI tools are deployed safely, addressing data privacy and protecting proprietary codebases
• Exercise cross-functional influence to build consensus around the AI roadmap, moving the company from isolated experimentation into a structured master plan

Who You Are (Success Profile)

• 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. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
• 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 driven by innovation. You have a deep curiosity for how things work and are energized by solving complex technical challenges. You believe in the power of technology to accelerate transformation and are always looking for a better, more secure, and scalable way.
• You think at scale. You connect your day-to-day work to the larger company mission and think globally. You build solutions, processes, and teams that are not just effective today but are built to last and support a high-growth, global organization.
• You are resilient and adaptable. You view change as an opportunity and setbacks as temporary. You maintain composure and focus in high-pressure situations, guiding yourself and your team through complexity with a steady, positive hand.

What We’re Looking for (Minimum Qualifications)

• Proven experience defining and executing an AI strategy specifically focused on engineering productivity
• Deep technical expertise in modern software development lifecycles (SDLC) with hands-on experience evolving CI/CD pipelines using AI agents
• Demonstrated experience navigating enterprise security protocols and partnering with InfoSec teams to deploy AI models safely within an enterprise environment
• Strong strategic thinking and stakeholder management skills with a proven ability to influence leadership and drive a unified master plan across multiple teams

What Will Make You Stand Out (Preferred Qualifications)

• Strong foundational background in DevOps or Platform Engineering
• Experience establishing business-oriented metrics to measure AI ROI and managing dedicated budgets for engineering productivity tools

#LI-Hybrid #LI-KM9

Role

We are looking for a Lead Workday Engineer (People Tech & AI), for a hybrid location based in San Jose 3 days a week, reporting to the Director, Enterprise Systems Programming in the IT/Corporate Apps department. In this role, you will lead the evolution of our HR tech stack by blending deep Workday expertise with AI-driven development. You will leverage AI-assisted coding and agentic workflows to build automated solutions that solve complex People & Culture challenges and help us build seamless, intelligent employee experiences across our entire HR landscape.

What you’ll do (Role Expectations)

• Own the full lifecycle of cross-platform People & Culture solutions, bridging systems like Workday, ServiceNow HRSD, and broader HR tooling to architect secure, scalable, and seamless employee experiences
• Spearhead the evaluation, design, and implementation of AI-driven HR solutions and leverage AI applications, AI-assisted coding practices, and multi-agent orchestration to accelerate development, optimize data mapping, and build robust automated workflows
• Serve as the senior subject matter expert and strategic partner to HR, Payroll, and IT executives, translating complex technical concepts and AI capabilities into actionable business value, ensuring optimal user experiences and cross-platform synergy
• Drive AI and P&C technology investments by developing data-driven business cases with clear ROI, defining key success metrics for adoption, and creating compelling presentations to communicate strategy and impact to executive leadership
• Develop and execute comprehensive implementation plans using agile methodologies, and design robust test plans and scripts to ensure all Workday integrations and custom AI applications are delivered on time, high-quality, and bug-free

Who You Are (Success Profile)

• You thrive in ambiguity, are comfortable building the path as you walk it, and see ambiguity not as a hindrance but as the raw material to build something meaningful.
• You are a learner who has a true growth mindset and never stops developing yourself, actively seeking feedback to become a better partner and a stronger teammate, and you love what you do with purpose.
• You are a pragmatic builder who is obsessed with creating, iterating, and shipping, and you aren't afraid to roll up your sleeves to build the first version yourself, balancing the drive for technical excellence with the need to deliver value to users quickly.
• You champion simplicity, are skilled at distilling complex problems, user needs, and technical concepts into clear, simple, and actionable plans, and you are a precise communicator who brings clarity and focus to every interaction.
• You are resilient and adaptable, viewing change as an opportunity and setbacks as temporary, maintaining composure and focus in high-pressure situations to guide yourself and your team through complexity with a steady, positive hand.

What We’re Looking for (Minimum Qualifications)

• 8+ years of software engineering or systems integration experience, including at least 4 years of proven architectural-level understanding of the Workday Integrations framework (Payroll Integrations, Core Connectors, EIBs, Workday Studio, and advanced reporting like BIRT or Custom RaaS APIs)
• Demonstrated experience integrating AI tools, Large Language Models (LLMs), or MCP frameworks into enterprise workflows
• Practical experience with AI prompting techniques and AI-assisted development practices for faster deployment of complex logic
• Proven ability to lead agile teams, manage vendor relationships, and thrive in a rapidly evolving, high-growth environment
• Demonstrated ability to build business cases, justify investments, and measure ROI of P&C technology solutions

What Will Make You Stand Out (Preferred Qualifications)

• Previous experience integrating modern ATS platforms like Greenhouse or managing ServiceNow HRSD modules with complex, AI-enabled agentic flows
• Deep knowledge of Workato or similar middleware, experience running IT operations for custom P&C applications, and familiarity with hyperscaler infrastructure such as AWS, GCP, or Azure
• Hands-on experience deploying AI agents within distinct HR processes, coupled with a strong background in UX and design thinking to ensure seamless, intuitive employee adoption

#LI-YC2 #LI-Hybrid

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

Role

Identity is the new security perimeter. Come help manage digital risk by applying security through identity integration and controls.

We are looking for a Senior Architect to join our Identity and Access Management team. This is a hybrid role on-site three days a week in San Jose, reporting to the Senior Director, ZIdentity team. You will be responsible for design and development of enterprise-grade Identity Management Products for Zscaler. You will leverage your deep expertise in IAM and public cloud environments to drive hands-on development and provide technical leadership.

What you’ll do (Role Expectations)

• Practice technical leadership in design, development, and optimization of Identity platform
• Define and execute the technical roadmap for IAM, ensuring alignment with business goals
• Work closely with engineering teams to enhance support for Common Identity platform
• Drive professional development and growth initiatives for team members

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)

• Minimum 12+ years of hands-on experience in application architecture and development using Java.  Experience developing enterprise-grade Security or Networking products.
• Must have strong knowledge of Identity and Access Management protocols, specifically SAML, OAuth & OpenID connect.
• Strong knowledge of Security Protocols such as PKI, TLS, etc.
• Expert-level technical knowledge: Enterprise Java, OOP, OOA, systems architecture, RESTful APIs, and related frameworks ( e.g.  Hibernate, Spring).  CI/CD (tools and processes).
• Expert in Kubernetes and container infrastructure.

What Will Make You Standout (Preferred Qualifications)

• Experience with Java reactive programming would be a plus

#LI-Hybrid #LI-JM1

Role

We are looking for a Senior Staff Software Development Engineer (C/C++, TCP/IP, Datapath) to join our Zero Trust Exchange team. This is a hybrid role based onsite in San Jose three days a week reporting to the Sr. Manager, Software Development Engineering. As a Senior Staff Software Engineer, you will architect and build next generation products. By designing high-performance, ultra-low-latency distributed systems, you will directly drive our transformation in cloud-based security while ensuring a seamless, lightning-fast experience for a rapidly scaling global user base.

What you’ll do (Role Expectations)

• Build and scale the Data Plane for Zscaler's Workload Security product, directly shaping the future of cloud-based microsegmentation
• Develop and implement cutting-edge, eBPF-based distributed host firewalls across Linux and/or Windows environments
• Write highly efficient, system-level C/C++ code to optimize the network datapath and process packets at ultra-high speeds with zero perceived latency
• Navigate OS-level architecture in Linux, while stepping in to tackle Windows system development (non-driver) to ensure seamless cross-platform security
• Design distributed system components that maintain high responsiveness and ultra-low latency during high-load, enterprise-scale traffic

Who You Are (Success Profile)

• 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. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver. You seek out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact.
• You are driven by innovation. You have a deep curiosity for how things work and are energized by solving complex technical challenges. You believe in the power of technology to accelerate transformation and are always looking for a better, more secure, and scalable way.
• You are a pragmatic builder. You are obsessed with creating, iterating, and shipping. You aren't afraid to roll up your sleeves and build the first version yourself, balancing the drive for technical excellence with the need to deliver value to users quickly.
• You think at scale. You connect your day-to-day work to the larger company mission and think globally. You build solutions, processes, and teams that are not just effective today but are built to last and support a high-growth, global organization.

What We’re Looking for (Minimum Qualifications)

• 8+ years of heavy, hands-on system-level coding experience in C or C++
• Proven track record working directly on networking product lines, firewalls, or deep datapath optimization
• Strong system-level understanding of Linux operating systems, with the willingness to work within Windows environments as needed
• In-depth understanding of the TCP/IP stack, performance parameters, and socket programming
• Experience delivering complete software lifecycles for highly distributed, high-volume enterprise applications

What Will Make You Stand Out (Preferred Qualifications)

• Direct, hands-on experience with eBPF and/or Windows Filter Platform (WFP)
• Experience in endpoint security, microsegmentation, or tackling similar scale
• A strong foundational understanding of cybersecurity principles that complements your core networking expertise

#LI-Hybrid #LI-KM9

Role 

We are looking for a Software Engineer (Reliability) to join our team in San Jose, CA, reporting to the Vice President of Engineering. This is a hybrid role three days a week onsite within the Service Platform Automation department.

You will build and operate the orchestration and reliability automation that manages ZIA’s fleet lifecycle at massive scale. This is a high-ownership role: you will design and implement orchestration workflows and the supporting services needed for safe, deterministic, idempotent fleet operations—while helping the team evolve toward AI-first execution and operations.

What you’ll do (Role Expectations)

• Replace legacy Python/Ansible with a centralized, deterministic orchestration platform, refactoring automation into modular, well-defined workflows while retiring external dependencies and nested logic

• Engineer execution patterns with retries, idempotency, rate limits/backpressure, and safe rollbacks/compensation designs aligned to global fleet capacity

• Implement safe rollouts using segmentation, canaries, and automated health checks to limit blast radius during fleet-wide upgrades and remediation

• Add strong observability and auditability (metrics, traces, replayable histories), participate in on-call rotation, and drive software based fixes to reduce toil following post-incident reviews

• Integrate AI/LLM capabilities to accelerate legacy code migration and enhance safe operational outcomes through intelligent triage, correlation, and automated runbook generation

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/MS in Computer Science or a related technical field with 5+ years of experience building and operating production-grade software systems

• Strong proficiency in backend/systems languages (Go, Java, C++, or Rust) with the ability to write high-quality, maintainable code

• Deep experience designing and operating distributed systems, including concurrency, failure handling, performance optimization, and data modeling

• Proven track record of building automation using REST APIs and Swagger with strong guarantees for idempotency, verification, and safe rollout patterns

• Hands-on experience with cloud platforms (AWS/GCP, GKE, Cloud SQL etc.) and proficiency in containerization and CI/CD workflows using Docker and GitLab

What Will Make You Stand Out (Preferred Qualifications)

• Experience with Temporal (or similar platforms) to architect large-scale fleet systems for patching, upgrades, and remediation using deterministic, health-gated workflows and replay-safe designs

• Testing discipline for orchestration and state machines, including E2E harnesses, determinism verification, fault injection, and chaos engineering to ensure system reliability

• Proficiency in PostgreSQL, including SQL development and schema management, to power high-scale, stateful management-plane services and workflows

#LIHybrid #LI-BH1

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

Job Title: Principal Engineer, AI System Architect (Hardware)

The Architecture Research Lab (ARL) focuses on addressing fundamental system-level bottlenecks in modern AI, particularly in memory capacity/bandwidth and system-scale communication. By leveraging Samsung’s world-class memory technologies, ARL explores and defines next-generation AI system architectures that deliver step-function improvements in performance, efficiency, and scalability.
We are seeking a Principal AI System Architect who will play a Technical Lead role in bridging AI workloads, system architecture, and hardware design. In this role, you will develop system-level performance models, drive architecture-level design decisions, and propose forward-looking AI system architectures that shape Samsung’s long-term AI platform strategy.

Location: Daily onsite presence at our San Jose office in alignment with our Flexible Work policy

Job ID: 42852

What You’ll Do

• Technically Lead the architecture team with strong  direction, shaping system‑architecture strategy and advancing key innovations
• Conduct system-level architectural research for next-generation AI systems, spanning compute, memory, and interconnect/network subsystems.
• Develop and maintain analytical and simulation-based system modeling frameworks to evaluate AI workloads and identify performance, scalability, and efficiency bottlenecks at rack- and system-scale. 
• Analyze representative and emerging system-level architectural research (e.g., LLMs, DLRMs, and future AI models) to derive architecture requirements and trade-offs across compute, memory, networking, and power.  
• Drive architecture-level design decisions through quantitative modeling, design-space exploration, and performance/power projections. 
• Perform comparative studies of alternative system architectures, reporting performance and performance-per-watt metrics to guide strategic technology choices. 
• Collaborate closely with cross-functional teams in hardware architecture, memory, interconnect, and system engineering to align modeling insights with implementation realities.  
• Communicate architectural insights and recommendations through clear technical presentations and documentation.   
• Occasional domestic and international travel (<10%).

 What You Bring

• Ph.D. in Computer Science, Electrical Engineering, or a related field preferred,  with 15+ years of experience in system architecture for large-scale computing platforms, with a strong focus on AI workloads 
• Proven hands-on experience developing analytical and event-driven simulation models for system-level performance evaluation. 
• Deep understanding of AI system hardware architectures, including compute, memory hierarchies, and high-performance interconnects.
• Strong knowledge of modern and emerging AI workloads, including LLMs, DLRMs, and large-scale training and inference systems.
• Demonstrated ability to translate workload characteristics and modeling results into actionable architectural design decisions.
• Proficiency in Python, C++, and PyTorch for modeling, analysis, and experimentation. 
• Excellent written, verbal, and presentation communication skills, with the ability to influence technical direction across teams.
• A collaborative mindset, intellectual curiosity, and resilience in tackling complex, open-ended system-level challenges. 
• 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

Job Title: Principal Engineer, AI System Architect (Hardware)

 What You’ll Do
The Architecture Research Lab (ARL) focuses on addressing fundamental system-level bottlenecks in modern AI, particularly in memory capacity/bandwidth and system-scale communication. By leveraging Samsung’s world-class memory technologies, ARL explores and defines next-generation AI system architectures that deliver step-function improvements in performance, efficiency, and scalability.
We are seeking a Principal AI System Architect who will play a Technical Lead role in bridging AI workloads, system architecture, and hardware design. In this role, you will develop system-level performance models, drive architecture-level design decisions, and propose forward-looking AI system architectures that shape Samsung’s long-term AI platform strategy.

Location: Daily onsite presence at our San Jose office in alignment with our Flexible Work policy

Job ID: 42852

• • Technically Lead the architecture team with strong  direction, shaping system‑architecture strategy and advancing key innovations
  • Conduct system-level architectural research for next-generation AI systems, spanning compute, memory, and interconnect/network subsystems.
• Develop and maintain analytical and simulation-based system modeling frameworks to evaluate AI workloads and identify performance, scalability, and efficiency bottlenecks at rack- and system-scale. 
• Analyze representative and emerging AI workloads (e.g., LLMs, DLRMs, and future AI models) to derive architecture requirements and trade-offs across compute, memory, networking, and power.  
• Drive architecture-level design decisions through quantitative modeling, design-space exploration, and performance/power projections. 
• Perform comparative studies of alternative system architectures, reporting performance and performance-per-watt metrics to guide strategic technology choices. 
• Collaborate closely with cross-functional teams in hardware architecture, memory, interconnect, and system engineering to align modeling insights with implementation realities.  
• Communicate architectural insights and recommendations through clear technical presentations and documentation.   
• Occasional domestic and international travel (<10%).

 What You Bring

• Ph.D. in Computer Science, Electrical Engineering, or a related field preferred,  with 15+ years of experience in system architecture for large-scale computing platforms, with a strong focus on AI workloads 
• Proven hands-on experience developing analytical and event-driven simulation models for system-level performance evaluation. 
• Deep understanding of AI system hardware architectures, including compute, memory hierarchies, and high-performance interconnects.
• Strong knowledge of modern and emerging AI workloads, including LLMs, DLRMs, and large-scale training and inference systems.
• Demonstrated ability to translate workload characteristics and modeling results into actionable architectural design decisions.
• Proficiency in Python, C++, and PyTorch for modeling, analysis, and experimentation. 
• Excellent written, verbal, and presentation communication skills, with the ability to influence technical direction across teams.
• A collaborative mindset, intellectual curiosity, and resilience in tackling complex, open-ended system-level challenges. 
• 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

Job Title: Principal engineer, AI Serving Framework Architect (Software)

What You’ll Do    

The Architecture Research Lab (ARL) focuses on addressing fundamental system-level bottlenecks in modern AI, particularly in memory capacity/bandwidth and system-scale communication. By leveraging Samsung’s world-class memory technologies, ARL explores and defines next-generation AI system architectures that deliver step-function improvements in performance, efficiency, and scalability.
We are seeking a Principal AI System Architect who will play a key role in bridging AI workloads, system architecture, and hardware design. In this role, you will develop system-level performance models, drive architecture-level design decisions, and propose forward-looking AI system architectures that shape Samsung’s long-term AI platform strategy.

Location: Daily onsite presence at our San Jose office in alignment with our Flexible Work policy

Job ID: 42853

• As a Tech Lead, leading research teams in Korea and proposing technical direction
• Research on dynamic scheduling methodologies for maximizing AI inference performance in multi-rack scale memory-centric systems, comprised of heterogeneous compute-capable memory and hierarchical memory
• Investigating methods to accelerate search operations in RAG’s vector DB and AI Agent’s knowledge-graph by leveraging compute-capable memory
• Studying strategies for optimally placing KVCache and a vector DB in hierarchical memory to minimize frequent SSD accesses and reduce IO stalls
• Proposing SW design for implementing the derived optimization algorithms on open-source platforms such as vLLM

What You Bring

• PhD in Computer Science or a related field with 10+ years of experience in AI Serving Framework for large-scale computing, with focusing on the AI workloads. 
• Led a project to build and optimize a Large Language Model (LLM) Inference Software Stack on a multi-rack scale system to deliver AI Inference services to over 100,000 users. 
• Extensive experience in designing AI Inference Software Stacks for heterogeneous devices.In-depth understanding of the internal architecture and operation mechanisms of inference engines such as vLLM. 
• Proficiency in AI Inference System Profiling and optimization. 
• Knowledge and practical experience with future AI workloads, including reasoning models, multi-modal solutions, AI agents, and world models. 
• Strong understanding of compute, memory, and networking bottlenecks in AI systems. 
• Required skillsets: PyTorch, Python, and C++ 
• A collaborative mindset, curiosity, and resilience in solving complex challenges. 
• Excellent verbal, presentation, and written communication skills. 
• (Nice to have) Native or fluent Korean speakers are preferred. 
• 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

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.

At 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.

We are looking for a dynamic, self-motivated, experienced engineer to architect and lead functional test coverage and test methodologies for NVMe SSDs.

Location: Daily onsite presence at our San Jose headquarters in alignment with our Flexible Work policy.

What You’ll Do

• Manage Enterprise server infrastructure, execute Customer Qual tests and debug failures
• Execution of enterprise SSD qualifications in customer systems.
• Communicate with team lead to understand qualification processes and test plans. Report status of qualifications and manage customer expectations.
• Coordinate  with internal team and customer test engineers to execute qual plans as per schedule. Teams will be both local and remote.
• Triage test failures and do a first level FA. Design and execute experiments to root cause defects and verify fixes in coordination with development teams.
• Provide feedback to functional test teams on issues seen in customer quals to better functional test coverage.
• Contribute in Triaging customer field issues and provide support for timely resolution of customer issues.
• Identify automation opportunities and help Automation team to continue to improve and add to the existing framework.

What You Bring

• BS in Computer Science or related technical field with 10+ years of system level testing or development of enterprise servers and enterprise storage systems experience or MS with 8+ years preferred.
• Experience with at least storage protocol like NVMe/PCIe, SAS, SATA, Fibre Channel
• Familiar with one of protocol analyzers like LeCroy, SerialTek, or Xgig System or device level performance analysis
• Proficiency in server operating systems especially system debug tools such as system logs.
• Knowledge of enterprise storage/server system technologies.
• Expertise in storage test tools such as performance benchmarks, IO stress tools, protocol certifications, Test execution and bug management tools.
• Scripting experience such as in Perl, Shell or Python
• Experience with SSD or HDD testing
• NetApp/HPE/Dell/IBM System Experience
• 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

Job Title: Staff Engineer, AI System Architect (Hardware)

What You’ll Do
The Architecture Research Lab (ARL) focuses on addressing fundamental system-level bottlenecks in modern AI, particularly in memory capacity/bandwidth and system-scale communication. By leveraging Samsung’s world-class memory technologies, ARL explores and defines next-generation AI system architectures that deliver step-function improvements in performance, efficiency, and scalability.
We are seeking a Senior Staff AI System Architect who will play a key role in bridging AI workloads, system architecture, and hardware design. In this role, you will develop system-level performance models, drive architecture-level design decisions, and propose forward-looking AI system architectures that shape Samsung’s long-term AI platform strategy.

Location: Daily onsite presence at our San Jose office in alignment with our Flexible Work policy

Job ID: 42917

• Conduct system-level architectural research for next-generation AI systems, spanning compute, memory, and interconnect/network subsystems.
  • Develop and maintain analytical and simulation-based system modeling frameworks to evaluate AI workloads and identify performance, scalability, and efficiency bottlenecks at rack- and system-scale.
  • Analyze representative and emerging AI workloads (e.g., LLMs, DLRMs, and future AI models) to derive architecture requirements and trade-offs across compute, memory, networking, and power.
  • Drive architecture-level design decisions through quantitative modeling, design-space exploration, and performance/power projections.
  • Perform comparative studies of alternative system architectures, reporting performance and performance-per-watt metrics to guide strategic technology choices.
  • Collaborate closely with cross-functional teams in hardware architecture, memory, interconnect, and system engineering to align modeling insights with implementation realities.
  • Communicate architectural insights and recommendations through clear technical presentations and documentation.
  • Occasional domestic and international travel (<10%).

 What You Bring

• Ph.D. in Computer Science, Electrical Engineering, or a related field, with 5+ years of experience in system architecture for large-scale computing platforms, with a strong focus on AI workloads.
  • Proven hands-on experience developing analytical and event-driven simulation models for system-level performance evaluation.
  • Deep understanding of AI system hardware architectures, including compute, memory hierarchies, and high-performance interconnects.
  • Strong knowledge of modern and emerging AI workloads, including LLMs, DLRMs, and large-scale training and inference systems.
  • Demonstrated ability to translate workload characteristics and modeling results into actionable architectural design decisions.
  • Proficiency in Python, C++, and PyTorch for modeling, analysis, and experimentation.
  • Excellent written, verbal, and presentation communication skills, with the ability to influence technical direction across teams.
  • A collaborative mindset, intellectual curiosity, and resilience in tackling complex, open-ended system-level challenges.  
• 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. 

#LI-SF1

The SoC Architect will serve as a key technical leader, translating client requirements into an optimal SoC blueprint that achieves aggressive PPA (Power, Performance, Area) targets and driving its successful implementation.  This role will be a critical leader who provides the technical blueprint that ultimately realizes our clients' business objectives and should have a deep understanding of the complexities of custom SoC development and the ability to leverage broad system knowledge to create innovative solutions.

Location:  Daily onsite presence at our San Jose headquarters in alignment with our Flexible Work Policy with an average of 20% travel per month.

Reports to: Team leader/Head of Custom SoC Solutions Team

What You’ll Do

Customer Requirement Definition and Architecture Design:

• Analyze and define the functional, performance, and power requirements based on the client's end product and application (e.g., mobile, edge device, data center or physical AI).
• Conceive and specify the Top-Level SoC Architecture and Microarchitecture, including CPU/GPU/NPU cores, memory subsystem, Interconnect (Coherent/Non-Coherent Fabric), and high-speed I/O interfaces (e.g., PCIe, UALink or ESUN).

Architecture Exploration and Validation:

• Evaluate various architectural trade-offs and validate architectural decisions using performance and power modeling (C/C++, SystemC).
• Provide technical guidance on IP selection, integration, and system optimization, and define the Design for Debug/Test/Excellence (DFx) strategy.

Technical Collaboration and Leadership:

• Collaborate closely with cross-functional teams (HW Design, Verification, Physical Design, Software) to ensure architectural specifications are accurately translated into the design and implementation phases.
• Identify and resolve technical risks throughout the project lifecycle, and lead technical communication with clients and

 What You Bring

• Bachelor’s Degree in Electrical Engineering, Computer Science, or related discipline and 10+ years of experience, or Master’s and 8+ years of experience. 
• 5+ years experience in SoC Architecture or System Engineering (experience in custom ASIC/SoC projects is a plus)
• Deep understanding of Computer Architecture and SoC Design (including CPU, GPU, Accelerators, Caches, and Memory Systems).
• Expert knowledge and design experience with on-chip interconnects (e.g., AMBA AXI/CHI) and High-Speed Interface protocols.
• In-depth knowledge of Power Management and low-power design techniques.
• Experience with SoC-level Clock, Reset, and Power Domain architecture.
• Comprehensive understanding of the overall RTL design and SoC design flow (Implementation & Verification).
• Excellent problem-solving skills to independently identify, analyze, and resolve complex technical issues.
• Ability to communicate and negotiate effectively with diverse stakeholders, including hardware and software engineering teams, managements, and clients.
• Proficiency in scripting languages such as Python/Perl
• 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 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 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.

We are empowering pilots with next-generation aviation technology. You will join a small, expert team with big ambitions, directly shaping a product that blends on-device artificial intelligence, aviation expertise, peripheral integration, and seamless mobile user experience.

What You’ll Do:

• Architect, develop, and maintain core iOS application features in Swift with an emphasis on performance, stability, and usability
• Deploy and optimize on-device machine learning models (via MLX and CoreML) for real-time intelligence
• Integrate and visualize mapping, live weather feeds, sensor data, and other aviation inputs
• Ensure the app operates reliably offline
• Coordinate closely with product, design, and AI teams to translate concepts, research, and requirements into flight-ready features
• Uphold industry best practices for testing, accessibility, code quality, and compliance
• Own the App Store release process, including provisioning, profiling, and ongoing support/analytics
• Contribute to technical roadmaps, peer code reviews, and iterative feature delivery
• Help shape a dynamic, fast-moving engineering culture where shipping matters

• Degree in Computer Science or related field
• 5+ years of professional iOS development experience
• Fluency in Swift and familiarity with modern UIKit/SwiftUI architectures
• Track record of shipping and supporting apps on the Apple App Store
• Experience deploying on-device machine learning with Core ML, MLX, or similar frameworks \
• Familiarity with mapping technologies
• Strong testing, debugging, and optimization skills for mission-critical apps
• Experience in developing offline first apps

• Background or hands-on experience in aviation, navigation, or weather-related applications
• Experience with 3D graphics, Metal, OpenGL or other advanced graphics technologies
• Understanding of aviation data formats, regulations, or EFB use cases
• Experience in small, agile teams and product development cycles

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 $140,000 - $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.

The Principal Solution Architect – Finance Systems will be responsible for defining, leading, and delivering the finance and controlling system architecture and roadmap across the enterprise.
This role serves as the strategic thought leader for all Finance, Controlling, and Costing systems, ensuring scalable, compliant, and efficient processes across SAP S/4HANA FICO, integrated procurement and manufacturing flows, and enterprise reporting systems.

You will partner closely with Finance, Operations, and IT leadership to shape the financial systems strategy, drive modernization initiatives, and ensure integration of Finance into end-to-end business processes spanning supply chain, manufacturing, and corporate functions.

Key Responsibilities

1. Architecture and Strategy

• Own the Finance Systems architecture vision and roadmap across General Ledger, Accounts Payable, Accounts Receivable, Asset Accounting, Product Costing, Treasury, and Financial Planning & Analysis.
• Design end-to-end processes for Record-to-Report (R2R), Plan-to-Produce (P2P), Procure-to-Pay (P2P), and Order-to-Cash (O2C) — ensuring seamless integration with manufacturing, supply chain, and procurement systems.
• Evaluate and implement SAP S/4HANA standard capabilities, minimizing customizations while driving standardization and scalability.
• Align financial systems strategy with enterprise architecture, compliance, and business objectives.
  
  
• Establish design governance through the Finance Architecture Review Board, ensuring consistency and cross-functional alignment.
  
  

2. Solution Design and Delivery

• Lead the design, configuration, and integration of SAP FICO modules — FI, CO, PS, FSCM, BCS, and Group Reporting — with internal and external systems.
• Oversee process design for costing, intercompany, capitalization, variance analysis, and profitability reporting (COPA).
• Architect integration between SAP and non-SAP platforms including Concur, Coupa, Workday, OpenText, VIM, Treasury Management Systems, and Snowflake/Palantir analytics.
• Partner with business stakeholders to identify opportunities for process automation, AI-based financial insights, and intelligent spend management.
• Develop and maintain Business Process Documentation (BPDs), configuration standards, and integration blueprints.
  
  

3. Governance, Compliance, and Control

• Ensure all Finance system designs and implementations adhere to GAAP, SOX, and ITGC compliance standards.
• Define and monitor control frameworks across master data, transactional flows, and intercompany operations.
• Partner with internal audit, FP&A, and external consultants to support quarterly and annual reviews.
• Drive consistent use of financial master data (cost centers, GL accounts, profit centers) through robust data governance.
  
  

4. Leadership and Collaboration

• Partner with senior Finance and IT leaders to define financial transformation goals and execution strategy.
• Lead cross-functional architecture design sessions spanning Manufacturing, Supply Chain, Quality, and Corporate Finance.
• Provide guidance to analysts, developers, and project teams, ensuring alignment to design principles.
• Work with external vendors and partners (SAP, Accenture, Deloitte, NS2) to deliver roadmap milestones and adopt best practices.
• Mentor and upskill internal teams on SAP S/4HANA Finance capabilities and data-driven decision support.
  
  

Qualifications

Education:

• Bachelor’s degree in Accounting, Finance, Computer Science, or a related field; CPA, Chartered Accountant, or SAP Certification in FICO preferred.
• Master’s degree in Business or Information Systems preferred.
  
  

Experience:

• 15+ years of experience in SAP Finance and Controlling (FICO), with at least 2 full lifecycle SAP S/4HANA implementations.
• Deep understanding of core Finance processes — GL, AP, AR, Asset Accounting, Controlling, Treasury, Product Costing, and Profitability Analysis.
• Experience with integration across MM, SD, PP, and PS, and exposure to SAP Group Reporting, SAC, or BTP-based analytics.
• Proven experience in designing compliant solutions in SOX/ITGC environments and managing audit evidence for SAP controls.
• Experience with AI/automation in Finance operations, including intelligent document processing and analytics.
• Hands-on expertise in configuration, design governance, and digital finance transformation.
  
  

Skills:

• Strong financial acumen with deep system knowledge.
• Ability to translate finance requirements into scalable, automated technology solutions.
• Excellent communication, leadership, and stakeholder management skills.
• Experienced in Agile and hybrid delivery models with global teams.
  
  

Key Deliverables

• A unified, scalable Finance Systems Roadmap integrated with enterprise operations.
• Simplified, standardized financial processes across all business units.
• Improved accuracy and timeliness in reporting and compliance.
• Enhanced visibility into costs, margins, and capital allocation.
  
  

Why This Role Matters

This role bridges finance strategy and technology enablement, ensuring that every business decision is backed by accurate, real-time, and reliable financial insights.
As we scale into a production-ready organization, the Finance Architect will ensure our systems evolve to support cost control, compliance, and business growth.

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 $219,000 - $273,700. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

We are an equal-opportunity employer committed to creating a diverse and inclusive workplace. All qualified applicants will receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law, including those with a criminal history, in a manner consistent with the requirements of applicable state and local laws.

What we do  

You’ll join a business engineering team building internal AI solutions that support teams across The Trade Desk. We leverage large language models, retrieval‑augmented generation (RAG), agentic systems, and enterprise platforms like Microsoft Copilot and Anthropic Claude to improve productivity, streamline workflows, and reduce operational friction.

Our team also plays a key role in AI enablement across the company—supporting teams as they adopt Copilot, Claude and similar tools, designing and deploying custom AI agents, and guiding partners through their AI journey from idea to impact.

As a Sr AI Solutions Architect on this team, you’ll be an end-to-end owner—collaborating closely with stakeholders, identifying opportunities, and delivering tools that make a real impact. We’re a nimble, fast-paced, and highly collaborative group that thrives on transforming the way teams operate and driving greater value across The Trade Desk.

What you’ll do: 

Some of the work that you will be doing to help us deliver on our mission is:

• Design and deploy intelligent agentic systems that integrate large language models (LLMs) with enterprise data, tools, and workflows using frameworks like LangChain, LlamaIndex, and Semantic Kernel.
• Contributring to Retrieval-Augmented Generation (RAG) applications using tools like Azure AI Search, vector databases, and secure enterprise connectors to deliver contextual insights.
• Build and deploy agents using Microsoft Copilot, Copilot Studio, Anthropic Claude, and similar platforms to help teams operationalize solutions within enterprise guardrails.
• Build and iterate on conversational agents that solve real-world problems, meet stakeholder needs, and deliver measurable business value.
• Deliver high-impact features by collaborating across teams, leading through ambiguity, and aligning technical solutions with business goals.
• Drive quality and performance through automated testing, monitoring, and data-driven evaluation of success criteria, user adoption, and operational efficiency.
• Mentor teammates and contribute to a culture of innovation, technical excellence, and continuous learning.

Who you are: 

• You have a Bachelor’s/Master’s level degree in computer science or relevant engineering-related field or equivalent experience.
• You have 8-10+ years of software engineering experience, including 1-2+ years working on AI-powered systems or products.
• You have knowledge of Python and comfortable with additional languages such as C#, SQL, or TypeScript/React.
• You’re excited about AI enablement, including helping teams adopt platforms like Microsoft Copilot, Anthropic Claude and Copilot Studio, building agents, and guiding others through their AI journey.
• You are skilled in data ingestion and transformation using APIs, ETL pipelines, and connectors, and familiar with vector databases and retrieval strategies.
• You communicate clearly across technical and non-technical audiences and thrive in a collaborative, cross-functional environment.
• You are a fast learner who adapts quickly to new technologies and solves complex problems with creativity and pragmatism.

#LI-TP1

A variety of technical opportunities is one of the best things about working at The Trade Desk as a software engineer, which is why we do not expect you to know every technology we use when you start. What we care about is that you can learn quickly and find solutions to complex problems using the optimum tools for the job. What you know is less important than how well you learn and innovate. We are not seeking engineers who know all the answers; we need engineers who can invent answers no one has thought of yet and find answers to the questions yet to be asked. 

The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

[LA JOBS ONLY] The Trade Desk will consider qualified applicants with criminal histories for employment in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring, Ordinance No. 184652.

[SF JOBS ONLY] Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

#LI-TP1

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.

About the Role

We are seeking a highly skilled and hands‑on Software AI Ops & Tools Lead to drive the development, integration, and optimization of advanced software systems that power our next‑generation eVTOL aircraft. This role sits at the intersection of AI, autonomy, infrastructure, and engineering operations—playing a critical part in shaping the future of urban air mobility.

As a technical leader, you will architect and implement scalable tools, platforms, and workflows that enable our engineering teams to build, test, and deploy intelligent, safety‑critical software. You will work closely with cross‑functional partners across Autonomy, Machine Learning, Flight Software, Infrastructure, and Systems Engineering to ensure our AI‑driven capabilities are robust, reliable, and production‑ready.

This is a hands‑on leadership position for someone who thrives in fast‑paced environments, enjoys solving complex technical challenges, and wants to make a direct impact on the future of aviation.

Key Responsibilities

Leadership & Strategy

• Lead the vision, roadmap, and execution for AI‑driven software tools, infrastructure, and operational workflows.
• Provide hands‑on technical leadership while mentoring and developing a high‑performing engineering team.
• Partner with Autonomy, ML, Software, and Infrastructure teams to define requirements and deliver scalable solutions.
• Drive best practices in software development, testing, deployment, and monitoring for AI‑enabled systems.

AI, Machine Learning & Autonomy Integration

• Build and maintain tools and pipelines that support AI/ML model development, simulation, validation, and deployment.
• Develop systems that integrate AI and autonomy algorithms into flight‑critical and mission‑critical software stacks.
• Ensure reliability, traceability, and performance of AI/ML components across the full lifecycle—from research to production.

Software Infrastructure & Operations

• Design and implement scalable infrastructure for data processing, model training, simulation, and continuous integration.
• Develop internal tools that improve developer productivity, system observability, and operational efficiency.
• Own the end‑to‑end software operations ecosystem, including build systems, testing frameworks, and deployment pipelines.
• Ensure compliance with aviation‑grade safety, reliability, and certification requirements.

Cross‑Functional Collaboration

• Work closely with hardware, systems, and flight test teams to ensure seamless integration of AI‑enabled software.
• Collaborate with leadership to align technical decisions with company‑wide goals and aircraft development milestones.
• Communicate complex technical concepts clearly to both technical and non‑technical stakeholders.

Qualifications

• 10+ years of experience in software engineering, with significant experience in AI/ML, autonomy, or robotics.
• Proven track record in hands‑on technical leadership roles.
• Deep expertise in building tools, platforms, and infrastructure for AI/ML development and deployment.
• Strong understanding of distributed systems, cloud infrastructure, CI/CD, and developer tooling.
• Experience integrating AI/ML algorithms into real‑time or safety‑critical systems is highly preferred.
• Background in robotics, autonomy, aerospace, or related fields is a strong plus.
• Passion for advancing the future of aviation and autonomous flight.

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. 

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 $200,000 - $250,000. 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 accommodations 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.

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.

Role Overview

We are seeking a deeply technical, hands-on Principal Platform Architect and Tech Lead to serve as the technical authority for the Enterprise OS team. This high-leverage role is centered on building a foundational platform layer that sits above core enterprise systems (e.g., SAP S/4HANA, Workday, Google Workspace, Okta).

You will help establish foundational platform capabilities that streamline the development of secure, reliable applications atop unified enterprise data. This is a deeply technical, high-leverage role. You will not only design and build core services but also lead the engineering team in execution, set rigorous platform standards, and own the technical roadmap.

Key Responsibilities

• Technical Leadership: Act as the Tech Lead for the platform team. Drive technical decisions, manage architectural trade-offs, and ensure the team adheres to high engineering standards through rigorous design and code reviews.
• Platform Design Ownership: Define the canonical entity model, design the connector interface for typed Go services across source systems, and own the Platform SDK used by application teams.
• Core Service Development: Lead the development of services enabling policy-controlled access, traceability, and automation, including AI-assisted workflows with robust guardrails.
• Execution & Validation: Translate the platform vision into actionable engineering milestones. Your designs will be rapidly validated through production applications.

Responsibilities

• Define canonical entity models that normalize data across multiple enterprise systems (e.g., finance, supply chain, HR)
• Demonstrated ability to lead engineering teams through the full SDLC of complex platform products.
• Design and implement core backend services (Go preferred, Java experience also valued)
• Define strongly typed API contracts and versioning standards using protobuf, with the Platform SDK as the single interface applications build against
• Design a portable data architecture using PostgreSQL, including schema evolution and performance strategy
• Establish scalable connector/integration patterns for ingesting, enriching, and serving enterprise entities
• Build a policy-based authorization approach (RBAC with attribute-aware controls) with entity-level access control and data masking where needed
• Define event propagation patterns (e.g., outbox pattern) and a clear path to CDC/event streaming as the platform matures
• Establish auditability, traceability, and observability standards for platform services
• Enable AI-assisted workflows safely (e.g., classification/summarization/suggested actions) with strict access boundaries and full audit logs
• Mentor engineers and collaborate with application teams to validate the platform through real production use cases
  
  

Qualifications

• 15+ years building distributed systems, backend platforms, or internal developer platforms
• Strong hands-on backend engineering experience  (Go preferred)
• Deep expertise in relational databases, ideally PostgreSQL (schema design, indexing, performance tuning, migrations)
• Experience designing canonical data models across heterogeneous systems
• Experience defining durable API contracts and operating them over time (versioning, compatibility, reliability)
• Experience implementing secure authorization patterns (RBAC and fine-grained access controls)
• Experience designing event-driven systems and reliability patterns (idempotency, retries, consistency)
• Cloud-native experience (AWS/GCP preferred) and comfort working across infrastructure/application boundaries
• Demonstrated ability to ship production systems used by other teams

Preferred:

• Experience with typed contracts
• Experience with policy-as-code authorization (e.g., OPA/Cerbos or similar)
• Experience integrating enterprise identity providers (OIDC/SAML; Okta is a plus)
• Experience building internal SDKs/frameworks used by multiple teams
• Experience incorporating AI/LLM capabilities into production systems with strong governance (access boundaries, prompt-safety patterns, human-in-the-loop controls)
• Experience integrating with ERP/HR systems (SAP, Workday, etc.)
• Experience with enterprise data integration patterns: multi-table source joins, delta sync strategies, field-level provenance, canonical model design

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 219,000 - 265,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

What you’ll do

• Report to the Director of Product Quality and serve as the primary Engineering Lead for the development, implementation, and governance of Archer's enterprise Metrology and Dimensional Engineering Program.

• Engineer and execute the strategic roadmap for metrology hardware and software integration, ensuring digital continuity between CAD models and physical inspection results.

• Lead the engineering of comprehensive aircraft inspection plans, utilizing Model-Based Definition (MBD) and advanced GD&T synthesis to ensure design intent is maintained through the conformity phase.

• Architect a robust verification framework for the Midnight program; perform technical risk assessments and engineering analysis on critical characteristics to determine optimal inspection intervals and methods.

• Design, validate, and standardize complex measurement algorithms for critical aircraft features (e.g., wing dihedral, twist, and sweep), utilizing high-precision laser trackers and spatial analyzer platforms.

• Provide engineering oversight for the authoring of technical procedures, ensuring measurement uncertainty budgets and gauge R&R studies meet aerospace structural requirements.

• Act as a technical liaison to Design Engineering, influencing the "Design for Inspection" (DFI) philosophy by reviewing engineering drawings and CAD models for metrology compatibility.

• Lead Dimensional Control investigations into non-conformances, utilizing root cause analysis and engineering principles to resolve complex assembly interface issues.

What you need

• BS or MS in Mechanical Engineering, Aerospace Engineering, Physics, or a related technical field.

• 10+ years of experience in Metrology Engineering or Dimensional Management within aerospace, defense, or high-precision manufacturing.

• Expert-level proficiency in Metrology Engineering software (e.g., PolyWorks, Calypso, or Spatial Analyzer), with the ability to script or automate complex measurement routines.

• Deep technical mastery of ASME Y14.5 (GD&T), including the ability to perform complex 3D tolerance stack-up analysis and influence design tolerances.

• Strong experience in Metrology Systems Engineering, including the selection, commissioning, and qualification of enterprise-level measurement cells (CMM, Laser Tracker, Photogrammetry).

• Demonstrated ability to lead cross-functional engineering projects, bridging the gap between design requirements and manufacturing capabilities.

• Working knowledge of aerospace quality and engineering standards (AS9100, AS9103, AS9145).

Bonus qualifications

• Professional Engineering (PE) license or relevant certifications (e.g., ASQ Certified Calibration Technician or ASQ CQE).

• Experience in Composite Engineering metrology, specifically regarding spring-back analysis and the inspection of large-scale carbon fiber structures.

• Experience with Automated Metrology (Robotic Integration) or In-situ monitoring systems in a high-rate production environment.

• Familiarity with Finite Element Analysis (FEA) results as they relate to predicted versus actual dimensional variations.

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.

What you’ll do:

• Architect and lead the team managing Archer’s lab integration environments supporting validation and verification activities, handling quality evaluations, human factor evaluations and test pilot training.
• Collaborate cross-functionally with internal groups and suppliers to integrate, instrument and maintain configuration of simulation models in a real-time, integrated hardware-in-the-loop environments .
• Own end-to-end configuration of simulation environments (e.g., SIL, HIL, CeRT, Iron Bird), including data analysis and simulation correlation with flight test data.
• Develop and optimize simulation pipelines including CI/CD integration for automated deployment, execution, and monitoring.
• Integrate third-party software/hardware systems into cohesive simulation architectures.
• Set technical standards, provide mentorship, and foster a collaborative and high-performance engineering culture.
• Guide the design and build of graphical user interfaces to control the real-time simulation environment.
• Lead task decomposition, technical planning, and debugging of complex issues across real-time and distributed systems.
• Influence tool architecture in support of lab configuration and automation

What you need:

• 9+ years of experience in simulation software development and systems integration.
• Bachelor's or higher degree in Aerospace, Software, Electrical Engineering, Computer Science, or a related field.
• Seasoned technical lead for an engineering team; providing guidance in planning and execution.
• Advanced proficiency in C/C++ and Python.
• Very experienced  in MATLAB/Simulink.
• Extensive experience developing real-time HIL test infrastructures.
• Proven ability to develop simulation tools with a focus on usability, modularity, and performance.
• Expert of communication standards and protocols (RS-422/485, CAN/CAN-FD, ARINC-429, Ethernet, TCP/IP, USB etc…)
• Experience prototyping Graphical User Interfaces based on user feedback.

• Knowledgeable with software engineering practices including CI/CD (GitHub Actions, Jenkins), test-driven development, and agile methodologies.
• Strong problem-solving and debugging skills with a proactive, solutions-oriented mindset.
• Comfortable working in cross-disciplinary teams and mentoring junior engineers.
• Comfortable leading Agile/SCRUM methodologies and tools throughout the organization
• Familiarity with Tool Qualification Levels TQL

Preferred Qualifications

• Experience with aerospace, spacecraft, or robotics systems—including modeling of flight dynamics, sensor-actuator loops, or avionics.
• Proficiency in the NI software suite (LabVIEW, VeriStand).
• Experience developing and troubleshooting custom code (i.e. plugins, logical devices, custom devices) for real-time OS
• Background in simulation infrastructure for VTOL, rotorcraft, or autonomous vehicles.
• Understanding of control theory, GNC algorithms, and physics-based modeling.
• Hands-on experience with HIL/SIL test rigs, hardware communication protocols, and test instrumentation.
• Exposure to regulatory frameworks (FAA, DoD, NASA) and test certification environments.
• Startup or fast-paced development experience is a plus.
• Experience automating and executing test plans.
•  Experience with DO-178 and other aviation standards  
• Familiarity with fault injection methodologies.
• Familiarity with lab equipment such as oscilloscopes, logic analyzers and protocol analyzers.

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 - $215,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

The Principal Solution Architect – Supply Chain Systems will lead the end-to-end architecture, roadmap, and solution design for Supply Chain and Logistics functions across the enterprise. This role ensures scalable, integrated, and efficient system landscapes leveraging SAP S/4HANA core capabilities and extending through planning, procurement, logistics, and supplier collaboration platforms (e.g., Ariba, IBP, Palantir, and BTP-based solutions).You will partner with business and technology leaders to shape the digital supply chain strategy that supports enterprise growth, operational maturity, and innovation.

Key Responsibilities

1. Architecture and Strategy

• Own the Supply Chain architecture vision and roadmap across Procurement, Planning, Logistics, and Supplier Collaboration.
• Define scalable and standardized SAP S/4HANA designs (MM, SD, EWM, PP, TM, GTS, and Ariba integration).
• Evaluate and rationalize existing processes; drive standardization and simplification aligned to enterprise goals.
• Lead design governance through the Architecture Review Board ensuring cross-functional alignment.
• Partner with Enterprise Architecture to connect supply chain roadmaps with Manufacturing, Finance, and Quality domains.

2. Solution Delivery and Design Leadership

• Lead end-to-end design for supply chain initiatives — from concept to go-live — ensuring seamless data flow across sourcing, procurement, inventory, logistics, and finance.
• Translate business needs into system capabilities leveraging SAP best practices (S/4HANA Public/Private Cloud).
• Oversee integration architecture between SAP and non-SAP systems (IBP, Palantir, BTP, Workato, Mendix).
• Collaborate with business SMEs to document “as-is” and “to-be” process flows and establish future-state capability models.
• Ensure compliance with SOX, trade, and audit controls in supply chain processes.

3. Process Transformation

• Partner with Operations, Planning, and Procurement teams to identify process gaps and lead continuous improvement initiatives.
• Introduce automation, AI/ML-enabled demand forecasting, and supplier collaboration enhancements.
• Drive data governance and master data integrity across Material Master, Supplier Master, and transactional data.

4. Governance and Leadership

• Act as a key member of IT leadership, driving supply chain transformation programs and stakeholder alignment.
• Provide guidance and mentorship to analysts, developers, and partner teams working within the supply chain domain.
• Define architectural standards, integration models, and reusability frameworks across projects.
• Collaborate with the Production Support team to ensure solutions are maintainable post-implementation.

Qualifications

• Education: Bachelor’s degree in Supply Chain, Engineering, Computer Science, or related field; Master’s preferred.
• Experience:
  
• 15+ years in end-to-end supply chain process and system transformation.
• Deep functional expertise in SAP S/4HANA modules: MM, SD, PP, EWM, TM, GTS, and Ariba.
• Proven experience with IBP (Integrated Business Planning) or equivalent advanced planning tools.
• Understanding of SAP BTP, APIs, and integration frameworks for connecting SAP and non-SAP systems.
• Hands-on experience in greenfield and brownfield SAP implementations.
• Prior exposure to manufacturing, aerospace, or automotive supply chains preferred.
  
  
• Skills:
  
• Strong understanding of data architecture, analytics integration, and control frameworks.
• Excellent stakeholder management, communication, and cross-functional leadership.
• Ability to translate business strategy into executable technology roadmaps.

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 - $245,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

We are an equal-opportunity employer committed to creating a diverse and inclusive workplace. All qualified applicants will receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law, including those with a criminal history, in a manner consistent with the requirements of applicable state and local laws.

Make your impact within a rapidly growing Fintech Company

Join BILL’s Account Payables - Multi-Entity team, where we are transforming how businesses manage complex financial operations across multiple entities, subsidiaries, and locations. As a Senior Software Engineer, you’ll architect and scale innovative back-office solutions, managing enterprise-level data volumes and complex workflows that empower Lower Mid-Market Customers and Accountants to streamline operations through our flagship Multi-Entity (ME) offering.

This team operates with a "startup" mentality within the broader AP operations, having built a 0-to-1 core platform in the last year that handles data across hundreds of entities with a focus on reliability, high performance, and availability. This is your opportunity to work in a collaborative, high-growth environment where your technical expertise will directly influence BILL’s vision to empower businesses through financial automation. Please note that this role is operating in a hybrid working model out of our San Jose office. 

Responsibilities:

• Design, develop, and maintain robust, scalable software solutions for multi-entity account payable workflows.
• Collaborate cross-functionally with product managers, designers, and other engineers to translate business requirements into technical deliverables.
• Analyze complex problems, break them down into manageable components, and implement effective, maintainable solutions.
• Contribute to code reviews, share technical knowledge, and mentor junior team members to elevate team performance.
• Proactively identify areas for process and system improvements, recommending and implementing enhancements to drive product quality and efficiency.
• Ensure solutions adhere to best practices in security, reliability, and performance.
• Stay current with industry trends and emerging technologies, bringing new ideas to the team.

We’d love to chat if you have:

• Bachelor’s degree in Computer Science or a related field (Master’s a plus); typically 5+ years of professional software engineering experience
• Strong understanding of large-scale web applications and distributed systems—including deployment, capacity planning, monitoring, and incident management
• Proven ability to evaluate trade-offs and collaborate across teams on complex technical and business initiatives
• Experience leading technical strategy for Multi-Entity SaaS platforms, with demonstrated success in scaling systems to support millions of mission-critical transactions
• Full-Stack Proficiency: Hands-on experience with Angular, React or similar for front-end, and Java or TypeScript/Node.js  or similar for back-end services.
• AI Driven Development: Experience leveraging Gen AI technologies to accelerate software engineering by designing prompts, rigorously evaluating outputs, and integrating LLMs
• Technical Breadth: Working knowledge of GraphQL, AWS (Lambda, DynamoDB, S3, SNS/SQS), microservices, and API gateway patterns.
• Systems Thinking: Strong understanding of large-scale web applications, distributed systems, monitoring, and CI/CD (GitHub Actions, Jenkins). 

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.

#LI

Make your impact within a rapidly growing Fintech Company

BILL.com’s Go-To-Market (GTM) Operations team is the connective tissue across Marketing, Product-Led Growth (PLG), and Sales — building the infrastructure, processes, and programs that enable scalable, data-driven growth. We're focused on creating frictionless user journeys, accelerating platform adoption, and delivering personalized experiences across the customer lifecycle.  

We are currently investing in strengthening our core operational backbone to ensure our data is accurate, our systems are integrated, and our campaigns are executed with precision.

We are looking for a Senior Marketing Operations Manager to serve as the architect and guardian of our marketing technology stack and processes. This person will work closely with GTM leadership to ensure efficient lead management, robust data governance, and seamless integration between our marketing automation platforms and CRM.

This is a critical role that blends technical expertise, strategic process design, and data analysis — ensuring that our marketing engine runs efficiently and that we can accurately measure the impact of our GTM initiatives.

Key Responsibilities

• MarTech Stack Management: Oversee the administration, integration, and optimization of the marketing technology stack (e.g., Marketing Automation, CDP, Direct Mail, etc.) to ensure scalability and performance.
• Lead Lifecycle Management: Own the end-to-end lead lifecycle, including scoring models, routing logic, and hand-offs between Marketing and Sales (SDR/AE) to ensure no lead is left behind.
• Data Integrity & Governance: Collaborate with Data Engineering and RevOps to maintain a clean, unified data ecosystem. Define and enforce data standards, enrichment processes, and compliance (GDPR/CCPA) rules.  
• Campaign Operations: Design and document standard operating procedures (SOPs) for campaign execution, ensuring consistent tracking, tagging, and attribution across all channels.
• Reporting & Analytics: Partner with the Analytics team to build and maintain dashboards that track campaign performance, pipeline attribution, and ROI, providing actionable insights to marketing stakeholders.
• Process Optimization: Proactively identify operational gaps, bottlenecks, and inefficiencies in our GTM motion and design scalable solutions to address them.
• Cross-Functional Alignment: Act as a primary liaison between Marketing, Sales Operations, and Business Systems to align on roadmap priorities and technical requirements.

We’d love to chat if you have:

Required Experience

• 5–7 years of experience in Marketing Operations, Revenue Operations, or a similar technical marketing role.
• Deep proficiency with Marketing Automation Platforms (Marketo, HubSpot, or Inflection.io) and CRM systems (Salesforce).
• Strong understanding of B2B marketing funnels, lead scoring models, and attribution methodologies.
• Experience managing data workflows, including list segmentation, data enrichment, and database hygiene.
• Ability to translate complex business requirements into technical specifications and process diagrams.  
• Experience working with CDPs (Segment, etc.) and data activation workflows is a strong plus.  

Preferred Qualifications

• Certification in major Marketing Automation Platforms (e.g., Marketo Certified Expert).
• Experience in a high-growth SaaS or Fintech environment.
• Proficiency with BI/Analytics tools (Looker, Tableau) and SQL basics.
• Familiarity with PLG motions and how they intersect with traditional inbound/outbound sales motions.

Make your impact within a rapidly growing Fintech Company

The Core Infrastructure Engineering Team is responsible for managing all of the infrastructure and databases at BILL. We utilize DataDog (for Logging, Metrics, and APM), Splunk, and CloudWatch (through Datadog integration) for real-time alerts via Slack and PagerDuty. We're big supporters of automating our workflows with Infrastructure as Code, and we love using Terraform to make it happen.

We are seeking a Staff Cloud Network Engineer to lead the design and evolution of our AWS network platform. This role is for a hands-on technical leader with deep expertise in AWS networking and infrastructure as code who will set standards, influence architecture, and drive scalable, secure networking solutions across the BILL application ecosystem. You will act as the go to expert for cloud networking, partnering closely with infrastructure, security, and product engineering teams to ensure our network enables performance, reliability, and growth.

We’d love to chat if you have:

Minimum of 7 years of relevant experience in network engineering, with a significant portion of that experience specifically focused on designing, implementing, and managing network infrastructure in AWS or similar cloud environments.

• Proven experience architecting and operating large-scale AWS network environments, including the design and implementation of hub-and-spoke and multi-region topologies using AWS Transit Gateways and AWS Cloud WAN for high availability, scalability, and cost optimization.
  
  
• Hands-on experience designing inter-VPC and inter-account connectivity patterns (e.g., VPC peering, Transit Gateway attachments, Cloud WAN core networks, and routing domains), including segmentation strategies for production, staging, and non-production workloads.
  
  
• Proficiency in Terraform or similar Infrastructure as Code (IaC) tools for automating network configuration, including reusable modules for VPCs, Transit Gateways, Cloud WAN segments, route tables, and security policies.
  
  
• In-depth knowledge of networking protocols, including TCP/IP, BGP, OSPF, VLANs, VPNs, and DNS, with specialized experience managing Amazon Route 53 hosted zones and Cloudflare DNS/CDN configurations, and the ability to apply these in cloud-based architectures (e.g., dynamic routing over Direct Connect or site-to-site VPN integrated with Transit Gateway / Cloud WAN).
  
  
• Strong understanding of network security principles and best practices, including firewalls, IDS/IPS, encryption, access control, and the application of these controls at the VPC, Transit Gateway, and Cloud WAN layers to enforce least-privilege and zero-trust patterns.
  
  
• Experience with network monitoring and performance optimization tools such as CloudWatch, VPC Flow Logs, and AWS Direct Connect, including baselining, capacity planning, and proactive detection of routing and latency issues in large-scale topologies.
  
  
• Ability to collaborate effectively with cross-functional teams, including Systems Engineers, Developers, Security, and Architects, to translate application and business requirements into resilient AWS network architectures.
  
  
• Excellent troubleshooting and problem-solving skills, with a focus on identifying and resolving complex network issues across on-premises, Direct Connect, VPN, Transit Gateway, Cloud WAN, and VPC boundaries.
  
  
• AWS certification(s) such as AWS Certified Solutions Architect – Associate or AWS Certified Advanced Networking – Specialty is preferred.
  
  
• Proven track record of designing and implementing scalable and resilient network solutions in a production environment, including multi-region failover, disaster recovery connectivity patterns, and change-managed rollouts using IaC.
  
  
• Strong communication skills and the ability to articulate network architecture and design decisions to both technical and non-technical stakeholders, including clear documentation of routing policies, segmentation models, and connectivity patterns.

#LI

Role Objective

As the gatekeeper of IP Management, Methodology and Quality at Astera Labs, you will lead the strategic development of our AI-powered IP Lifecycle Management and IP Quality Assurance Platform. You won't just run tools; you will architect a scalable, user-friendly system that serves as the foundation for our "AI-first" IP ecosystem. Your mission is to ensure every IP, whether internal or external is easily accessible, physically, logically, and structurally "SOC-ready," preventing late-stage integration breaks that delay tape-outs. Our vision is to revolutionize IP Management and Quality Assurance with an AI-first approach.

The candidate will be responsible for developing the platform, auditing and qualifying internal and external IP (Hard/Soft Macros, PHYs, Memories and standard cells libraries among other IPs). The IPLM and IPQA tools will scale to cover SOC QA and be a key element of the tape out sign-out requirements. The successful candidate will have the right expertise to run all EDA tools, understand the results, challenge the false pass scenarios, and dig into the root cause of real errors. They will work with the vendors or with our internal IP teams to solve the issues.

They will be responsible for ensuring that all IP deliveries are integrable, timing-clean, and manufacturable, preventing "late-stage" SOC breaks caused by inconsistent IP views or structural violations. IPQA will cover all aspects of the design flow starting from Architecture coherence, PPA evaluation, Front-End integration, SDC, RDC, DFT, PD and PDV, Packaging, ESD, Waivers, IP-XACT; and be scalable from the technology foundations, FinFet and Gate-All-Around transistors’ properties, DK/PDK integrity and rule decks from foundries, Standard Cells, Memories, IP, Subsystems and SOC Quality.

Technical Responsibilities

• AI-Driven Automation: Architect and Lead the integration of agentic AI workflows into the IPLM and IPQA platform to automate IP Management, root-cause analysis of false pass scenarios and self-heal real issues.
• Chiplet Readiness: Verify IP compliance with high-speed and high-bandwidth interface standards for heterogeneous integration.
• Cross-View Consistency: Architect automated audits for logical-to-physical consistency across RTL, Liberty, LEF, GDSII, and CDL views, focusing on pin-naming, bus-integrity, and functionality.
• Physical & Sign-off Audits: Perform independent LVS, DRC, and Antenna signoffs using native runsets for 5nm/3nm and beyond nodes.
• Structural & DFT Verification: Validate DFT requirements, including scan-chain integrity, MBIST handshakes, and fault-coverage transparency.
• Power & Timing Integrity: Audit Power Domain (UPF/CPF) consistency and conduct deep-dive Liberty (.lib) audits to identify missing timing arcs or non-monotonic lookup tables. Audit IR-drop/EM (Electromigration) reports to ensure the IP won't cause localized power grid failures.
• Waiver Management: Develop rigorous, automated Waiver Audit Protocol to ensure that provider-cleared violations do not violate Astera Labs' internal sign-off deck requirements.
• Lessons learned from release to release, from generation to generation need to be tracked and checked. Responsible for making sure releases are complete; patches are integrated. Constraints are updated, and documentation reflects the updates including PPA impact.

Required Skills & Expertise

• IP & EDA Expert: Mastery of the full sign-off suite: PrimeTime, Fusion Compiler, Genus, Calibre, Innovus, IC Compiler, SpyGlass, Tessent, Liberate (/MX), PrimeSim. Cross-Tool Consistency expertise is a must.
• Advanced Scripting for Information Systems: Expert in Tcl for tool manipulation and Python for building AI-wrapper layers. Familiarity with SystemVerilog.
• Domain Depth: Deep understanding of FinFET/Gate-All-Around (GAA) properties, Electromigration (EM), and ESD rules. Deep knowledge of Liberty modeling and LEF/DEF physical formats.
• QA Philosophy: A "Detective" mindset with the ability to look past a "green" or “red” report to find false errors and rootcause real ones.
• Management skills: Ability to work with design teams and IP vendors to solve issues in a timely manner.

The base salary range is $175,000.00 USD – $230,000.00 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions

Job Description

The mission of this role is to architect and develop firmware and microcontroller subsystems for Astera Labs’ SoC and systems products. Firmware is responsible for implementing the major differentiating features of Astera Labs’ products. As such, firmware is considered equally important to the hardware, and the firmware team is often customer-facing accordingly to ensure the needs of the customer are fully comprehended.

Basic Qualifications

• Strong academic and technical background in electrical engineering. At a minimum, a Bachelor’s in EE or Computer Science is required, and a Master’s is preferred.
• Minimum 8 years’ experience supporting or developing complex SoC/silicon products for Server, Storage, and/or Networking applications.
• Experience developing firmware to execute in on-chip microcontrollers as well as C-language software development kits (SDKs) to execute on system management controllers (e.g. BMC).
• Experience working with logic designers to architect and verify HW-SW interfaces on complex SoCs.
• Professional attitude with the ability to prioritize a dynamic list of multiple tasks, to plan and prepare for customer meetings in advance, and to work with minimal guidance and supervision.
• Entrepreneurial, open-minded behavior and can-do attitude. Think and act fast with the customer in mind!
• Authorized to work in the US and start immediately.

Required Experience

• Experience developing embedded firmware for PCIe products.
• MQX RTOS or ThreadX Development or enablement.
• High level of proficiency in C (preferred) or C++, including development of C-based SDKs.
• High level of proficiency in Python for automating pre-processors/post-processors and FW QC.
• Working knowledge of software/firmware build environments, gcc/Make, Doxygen, and GitHub.
• Hands-on experience with Server, Storage, and/or Networking equipment (e.g. Network Switches).
• Familiarity with SoC interfaces to common IP blocks such as PCIe Controllers, NVME Controllers, AMBA/AHB interfaces, on-chip memory interfaces, and other similar interfaces
• Direct experience working on products with high-speed interfaces common in Data Center equipment: PCI- Express (Gen-3 and above), 100/400G Ethernet, Infiniband, NVMe, etc

Preferred Experience

• Experience developing firmware to execute in on-chip microcontrollers as well as C-language SDKs to execute on system management controllers (e.g. BMC)
• Experience with industry forums and collaboration workgroups such as OCP and OpenBMC

The base salary range is $203,000.00 USD – $230,000.00 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.  

Role Overview As a Sr. Principal DSP Architect, you will be the technical visionary leading the definition and development of next-generation Digital Signal Processing (DSP) architectures. Your focus will be on high-speed PAM4 (Pulse Amplitude Modulation 4-level) systems and coherent/direct-detect optical transceivers. You will bridge the gap between theoretical communications theory and silicon implementation, driving the roadmap for 800G, 1.6T, and beyond.

Key Responsibilities

• Architectural Leadership: Lead the definition of DSP micro-architecture for high-performance ASICs, focusing on low-power, high-throughput data paths.
• Algorithm Development: Design, model, and simulate advanced DSP algorithms for:
• Adaptive Equalization (FFE, DFE, MLSE).
• Forward Error Correction (FEC).
• Clock and Data Recovery (CDR).
• Chromatic Dispersion (CD) and Polarization Mode Dispersion (PMD) compensation.
• Modeling & Simulation: Develop bit-accurate and performance-accurate models using Python, MATLAB, or C++ to validate architectural choices against Bit Error Rate (BER) targets.
• Cross-Functional Collaboration: Work closely with Analog Mixed-Signal (AMS) designers to optimize the ADC/DAC interface and with RTL teams to ensure power-efficient hardware implementation.
• Performance Trade-offs: Conduct rigorous Power, Performance, and Area (PPA) analysis to balance complex DSP requirements with the thermal and size constraints of optical modules (e.g., QSFP-DD, OSFP).
• Standards Contribution: Represent the company in industry standards bodies (IEEE 802.3, OIF) to influence future optical communications protocols.

Required Qualifications

• Education: PhD or MS in Electrical Engineering, Communication Theory, or a related field.
• Experience: 12+ years of experience in DSP design, specifically for high-speed SerDes or optical communications.

Technical Deep Dive:

• Expertise in PAM4 signaling and the associated challenges (non-linearity, SNR requirements).
• Deep understanding of Digital Filter Design (FIR, IIR) and adaptive signal processing.
• Experience with high-speed ADC/DAC architectures and their impact on DSP performance.
• Tooling: Proficiency in MATLAB/Simulink, Python (NumPy/SciPy), and SystemC.
• Silicon Success: A proven track record of taking complex DSP architectures from concept through tape-out to high-volume production.

Preferred Skills

• Experience with Coherent Optical technologies (QAM, polarization multiplexing).
• Knowledge of Machine Learning applications in DSP for non-linearity compensation.
• Familiarity with hardware description languages (Verilog/SystemVerilog) and the synthesis flow

Role Overview

Join Astera Labs as a Technical Lead Digital Design Engineer to architect and implement next-generation digital designs for high-performance AI connectivity solutions. You'll own complex blocks from micro-architecture through silicon bring-up, driving RTL implementation and collaborating with verification, physical design, and DFT teams to deliver production-quality silicon supporting PCIe Gen 6/7, CXL, UALink, UCI, Ethernet, and DDR4/DDR5 protocols.

This role offers the opportunity to work on cutting-edge technology at the forefront of AI infrastructure, taking ownership of critical design challenges in a fast-paced, collaborative environment where your contributions directly impact products deployed by the world's leading hyperscalers.

Key Responsibilities

• Design Ownership & Execution
• Develop and implement complex digital blocks and subsystems by defining micro-architecture and driving RTL implementation with an exceptional power, performance and area trade-off using silicon technologies better than 7nm.
• Lead efforts to achieve timing closure and implement Design-for-Test (DFT) features for optimal design performance
• Drive designs to production, ensuring accountability for quality, schedule, and overall design success
• Verification & Integration
• Collaborate with verification teams to develop test plans, achieve coverage closure, and debug complex issues
• Own third-party IP integration and block-level verification through sign-off
• Work closely with post-silicon teams to facilitate silicon bring-up and debug
• Technical Leadership
• Mentor junior engineers to develop their technical skills and expertise
• Actively contribute to the development and improvement of silicon development processes
• Drive design methodology improvements and CAD automation initiatives

Basic Qualifications

• Bachelor's degree in Electrical Engineering or equivalent
• 5+ years of hands-on experience developing complex SoC/silicon products in Server, Storage, and/or Networking markets
• Expertise in architecture definition, micro-architecture development, RTL coding, functional simulation, and synthesis
• Strong understanding of timing closure, gate-level simulation (GLS), and DFT implementation
• Deep expertise in at least one high-speed protocol: PCIe, CXL, Ethernet, DDR, or similar
• Production experience with advanced CMOS nodes (≤7nm)
• Proficiency with Cadence and/or Synopsys digital design flows

Preferred Qualifications

• Master's degree in Electrical Engineering or related field
• Track record of delivering multiple high-performance designs to production in data-center environments
• Hands-on collaboration with embedded firmware teams; understanding of firmware development challenges
• Familiarity with standard embedded processor subsystems (RISC-V, Arm, etc.)
• Proven contributions to design methodology, CAD automation, or design infrastructure

Salary range is $160,000 to $195,000 depending on experience, level, and business need. This role may be eligible for discretionary bonus, incentives and benefits

We are looking for a Principal Emulation Engineer with hands-on experience verifying protocols on complex ASICs and experience with or interest in emulation.  The ideal candidate would be at ease creating environments to enable verification teams to stress test ASICs, as well as debugging design, environment, transactor, and code issues.  The candidate must have good knowledge of communication protocols such as PCI-Express (Gen-3 and above), DDR, Ethernet, NVMe, or similar interfaces.

Basic qualifications:

• Strong academic and technical background in computer/electrical engineering. At a minimum, a Bachelor’s in EE or Computer Science is required, and a Master’s is preferred.
• ≥8 years’ experience supporting or developing complex SoC/silicon products for Server, Storage or Networking applications.
• Experience working with logic designers to architect, specify, and verify hardware-software interfaces on complex SoCs.
• Professional attitude with the ability to prioritize a dynamic list of multiple tasks and to work with minimal guidance and supervision.
• Entrepreneurial, open-mind behavior and can-do attitude. Think and act fast with the customer in mind!
• Authorized to work in the US and start immediately.

Required experience:

• Working knowledge of PCIe, Ethernet, DDR, SPI, I2C/I3C or similar protocols.
• High level of proficiency in System Verilog and verification environments.
• Experience understanding software and hardware co-simulation limitations and debug methods.
• Experience in programming and scripting languages (like perl/python/C).
• Currently based locally or open to relocation.

Preferred experience:

• Experience in emulation and prototyping technologies like Palladium/Zebu/Veloce or HAPS and FPGA prototyping.
• Experience in modeling for emulation and prototyping, and/or non-UVM environments

Overview

Join our team as Principal Digital Design Engineer to architect and implement next-generation digital designs for high-performance connectivity solutions. You'll own complex blocks from micro-architecture through silicon bring-up, driving RTL implementation and collaborating with verification, PD and DFT teams to deliver high performance products in a fast-paced, collaborative environment.

Key Responsibilities

• Develop and implement complex digital blocks and subsystems by defining micro-architecture and driving digital design.
• Collaborate with verification teams to develop test plans, achieve coverage closure, and debug complex issues.
• Lead efforts to achieve timing closure and implement Design-for-Test (DFT) features for optimal design performance.
• Work closely with post-silicon teams to facilitate silicon bring-up and debug.
• Mentor junior engineers to develop their technical skills and expertise.
• Actively contribute to the development and improvement of silicon development processes.
• Drive designs to production, ensuring accountability for quality, schedule, and overall design success.

Required Qualifications:

Education & Experience:

• Bachelor’s degree in electrical engineering or equivalent.
• 8+ years of hands-on experience developing complex SoC/silicon products in Server, Storage, and/or Networking markets

Digital Design Expertise:

• Architecture definition and micro-architecture development
• RTL coding, functional simulation, and synthesis
• Timing closure and gate-level simulation (GLS)
• Design for test (DFT) implementation
• Production experience with advanced CMOS nodes (≤7nm)

Protocols & Integration:

• Deep expertise in at least one high-speed protocol—PCIe , Ethernet, Infiniband, DDR, or similar
• Third-party IP integration and verification.
• Block-level design ownership from architecture through GDS

Tools & Methodologies:

• Proficiency with Cadence and/or Synopsys digital design flows
• Familiarity with UVM-based verification methodologies.
• Silicon bring-up, debug, and failure analysis expertise

Professional Attributes:

• Strong work ethic with the ability to balance multiple priorities in a dynamic environment
• Excellent communication and collaboration skills; comfortable working cross-functionally with global teams
• Self-directed learner who thrives with minimal supervision and adapts quickly to changing requirements
• Customer-focused mindset with ability to translate business needs into technical excellence

Preferred Qualifications

• Track record of delivering multiple high-performance designs to production in data-center environments
• Hands-on collaboration with embedded firmware teams; deep understanding of firmware development challenges and constraints
• Familiarity with standard embedded processor subsystems (RISC-V, Arm, etc.)
• Proven contributions to design methodology, CAD automation, or design infrastructure to improve productivity or design quality

Role Overview

Join Astera Labs as a Principal Digital Design Engineer to architect and implement next-generation digital designs for high-performance AI connectivity solutions. You'll own complex blocks from micro-architecture through silicon bring-up, driving RTL implementation and collaborating with verification, physical design, and DFT teams to deliver production-quality silicon supporting PCIe Gen 6/7, CXL, UALink, UCI, Ethernet, and DDR4/DDR5 protocols.

This role offers the opportunity to work on cutting-edge technology at the forefront of AI infrastructure, taking ownership of critical design challenges in a fast-paced, collaborative environment where your contributions directly impact products deployed by the world's leading hyperscalers.

Key Responsibilities

• Design Ownership & Execution
• Develop and implement complex digital blocks and subsystems by defining micro-architecture and driving RTL implementation with an exceptional power, performance and area trade-off using silicon technologies better than 7nm.
• Lead efforts to achieve timing closure and implement Design-for-Test (DFT) features for optimal design performance
• Drive designs to production, ensuring accountability for quality, schedule, and overall design success
• Verification & Integration
• Collaborate with verification teams to develop test plans, achieve coverage closure, and debug complex issues
• Own third-party IP integration and block-level verification through sign-off
• Work closely with post-silicon teams to facilitate silicon bring-up and debug
• Technical Leadership
• Mentor junior engineers to develop their technical skills and expertise
• Actively contribute to the development and improvement of silicon development processes
• Drive design methodology improvements and CAD automation initiatives

Basic Qualifications

• Bachelor's degree in Electrical Engineering or equivalent
• 10+ years of hands-on experience developing complex SoC/silicon products in Server, Storage, and/or Networking markets
• Expertise in architecture definition, micro-architecture development, RTL coding, functional simulation, and synthesis
• Strong understanding of timing closure, gate-level simulation (GLS), and DFT implementation
• Deep expertise in at least one high-speed protocol: PCIe, CXL, Ethernet, DDR, or similar
• Production experience with advanced CMOS nodes (≤7nm)
• Proficiency with Cadence and/or Synopsys digital design flows

Preferred Qualifications

• Master's degree in Electrical Engineering or related field
• Track record of delivering multiple high-performance designs to production in data-center environments
• Hands-on collaboration with embedded firmware teams; understanding of firmware development challenges
• Familiarity with standard embedded processor subsystems (RISC-V, Arm, etc.)
• Proven contributions to design methodology, CAD automation, or design infrastructure

Salary range is $185,000 to $230,000 depending on experience, level, and business need. This role may be eligible for discretionary bonus, incentives and benefits

As an Astera Labs Physical Design/CAD Engineer you will play a crucial role in driving the planning, coordination, and execution supporting the design of Astera Labs' portfolio of connectivity ASICs used in the world's leading cloud service providers, server and network OEMs. This role requires RTL to GDS ownership across design stages (Synthesis/PnR/STA/Signoff), deep technical expertise, and close collaboration with RTL and verification teams to ensure robust full-chip signoff. This role is fully on-site and in-person.

Key Responsibilities

• As Physical Design CAD Engineer you will support and build flows for world class EDA tools.
• Drive various Physical Design flow related activities, ensuring robust signoff across complex SoCs or sub-systems.
• Architect and recommend flow improvements and enhance existing methodology for high performance design.
• Good understanding of flow development related to backend tools like Synthesis/PnR/Extraction/DRC/LVS etc.
• Work with cross function teams to define requirements and specifications to achieve best PPA
• Opportunity to own a small block partition and closure (PnR, STA, DRC and LVS etc) based on interest and capacity
• Partner closely with design, implementation, and verification teams to drive block/top convergence, providing sign-off level expertise and guidance.

Basic Qualifications

• Bachelor’s in Electrical Engineering or Computer Science required; Master’s preferred.
• 2-10 years of experience in PnR and sign-off for complex SoCs in Server, Storage, or Networking applications.
• Expertise in PnR, Extraction, Timing closure, EM-IR, Formality and DRC/LVS at both block and full-chip level.
• Strong knowledge of synthesis, place-and-route, extraction, and equivalence checking flows in advanced nodes (7nm or below).
• Proficiency with Cadence and/or Synopsys physical design/STA toolchains.
• Strong scripting ability (Tcl, Python, Perl).
• Ability to work independently with strong prioritization and a professional, customer-focused mindset.

Preferred Experience

• Knowledge of agentic AI solutions is a plus.
• Experience working with EDA/IP vendors for both RTL and hard-macro integration.
• Familiarity with high-speed SERDES and Ethernet PHY timing challenges.
• Knowledge of ECO methodologies, DFT tools, and test coverage analysis.

Linqia is the leader in the influencer marketing industry. We’re a growing tech start-up, having experienced 100% year-over-year growth and break-even. At Linqia, we partner with the world’s largest brands including Danone, AB InBev, Kimberly-Clark, Unilever, and Walmart to build compelling and effective influencer marketing campaigns. Our AI-driven platform and team of experts are leading the transformation of influencer marketing.

We value intelligence, recognize talent and have instilled a culture that supports career development and growth for our employees. We thrive on innovation and accountability, with a customer first attitude that adds true value to everything we touch. Our team members are smart, hard-working, have integrity and love to have fun as we play to win.

SOFTWARE AND INFRASTRUCTURE DEVOPS ENGINEER

Experience level  3+ YoE supporting production saas in AWS 

Location Anywhere in LATAM preferably in Colombia

Employment type Full‑time contract

ABOUT THE ROLE

Build out  a cloud‑native team that owns the entire software delivery life cycle on Amazon Web Services. You will combine deep Kubernetes expertise with Python and shell scripting to automate, monitor, and continuously improve the Linqia platform while driving FinOps practices to keep our cloud footprint efficient. Work in a GitOps culture where every change is delivered through pull requests and rolled out by automated pipelines.

WHAT YOU WILL DO

• Design, maintain, and evolve our AWS account structure, VPC networking, IAM policies, security boundaries, and cost‑management controls using Terraform and the AWS console
• Maintain secure networking layers with AWS load balancers, ingress controllers, service‑mesh policies, network policies, and zero‑trust principles
• Operate and harden production‑grade Kubernetes clusters on AWS EKS, including upgrades, service mesh, policy management, and multi‑cluster architectures driven by Argo CD
• Build reusable infrastructure‑as‑code modules with Terraform that provision cloud resources in minutes while enforcing tagging standards and least‑privilege access
• Create self‑service CI/CD pipelines in Jenkins and GitHub Actions for fast, safe releases with automated testing and promotion across environments
• Deliver real‑time observability with Datadog, Prometheus, Grafana, CloudWatch, and OpenTelemetry, and use these tools to assist in solving production bugs and issues
• Administer and maintain purpose-built Linux VMs via configuration management tools like Puppet, Ansible, or Chef
• Deploy, scale, and maintain databases on AWS (Aurora, PostgreSQL, MySQL, OpenSearch, etc.), maintaining high database performance/uptime, optimizing tables and datasets, and ensuring disaster recovery protocols are in place.  
• Support developers by maintaining Podman‑based local dev boxes and Kubernetes staging environments that mirror production, ensuring smooth hand‑off from local code to cloud‑native deployments
• Implement FinOps practices: track and forecast AWS spend, enforce cost‑allocation tagging, identify rightsizing opportunities, manage Savings Plans or Reserved Instances, and build cost‑optimisation dashboards for engineering and finance stakeholders
• Write automation utilities and command‑line tools in Python and craft shell scripts that glue components and workflows together
• Champion reliability through incident reviews, capacity planning, game days, chaos testing, and service‑level objective tracking
• Collaborate in Agile rituals, plan sprints, refine backlog tickets, and pair with peers to spread DevOps and FinOps best practices

WHAT YOU BRING

• Bachelor degree in Computer Science or equivalent practical experience
• three plus years working with cloud infrastructure or platform engineering focused on AWS
• Deep hands‑on experience with Kubernetes, preferably EKS, covering upgrades, networking, storage, RBAC, and custom resources
• Proficiency in Python and Bash or Zsh scripting
• Strong understanding of core AWS services EC2, VPC, IAM, ALB, S3, RDS, CloudFormation, and CloudWatch
• Demonstrated experience applying FinOps principles: cost monitoring, forecasting, and optimisation on AWS
• Solid experience with Docker and container runtimes, with emphasis on Podman for local development environments
• Hands‑on practice with configuration‑management tools such as Ansible or Puppet and infrastructure‑as‑code with Terraform
• Proven use of Datadog for metrics, logs, and APM, plus familiarity with Prometheus and Grafana dashboards
• Comfortable with Git‑based workflows, feature branching, and pull‑request reviews
• Strong SQL skills and a deep understanding of relational database internals
• Competent in Linux administration, process troubleshooting, and performance tuning
• Practical knowledge of TCP/IP, HTTP, TLS, DNS, and common networking tools
• Clear communication skills and an ability to translate complex technical topics to diverse audiences
• Familiarity with Scrum or Kanban and a continuous‑improvement mindset

EXTRA CREDIT

• AWS certifications such as Solutions Architect, DevOps Engineer, or FinOps Practitioner
• Experience with AWS security tooling GuardDuty, Security Hub, IAM Access Analyzer, and KMS
• Building data pipelines with Apache Spark, Flink, or similar frameworks
• Implementing event‑driven architectures with Kafka Streams or KSQL
• Applying SRE practices such as error budgets and service‑level dashboards
• Exposure to machine‑learning workflows, ModelOps, or MLOps in production

_{This position description is intended to describe the duties most frequently performed by an individual in this position. Linqia is an equal opportunity employer supporting workforce diversity. We actively encourage women, people with disabilities, veterans, underrepresented minorities, and LGBTQ+ people to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.}

_{Headhunters and recruitment agencies may not submit resumes or candidates through this Web site or directly to employees. Linqia does not accept unsolicited headhunter and agency resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with us.}

Figure is an AI Robotics company developing a general purpose humanoid. Our Humanoid is designed for corporate tasks targeting labor shortages and jobs that are undesirable or unsafe. We are based in San Jose, CA and require 5 days/week in-office collaboration. 

We are seeking a Robotics Integration Engineer to drive system-level integration and validation across hardware, firmware, controls, AI, perception, and software. You will plan, execute, and oversee subsystem integration and full-system bring-up, ensuring reliable performance and consistency across the entire robot ecosystem. This is a highly technical, hands-on role focused on debugging, root cause analysis, and validating system functionality to make humanoid robots perform reliably in the real world.

Responsibilities: 

• Integrate and validate system-level changes across hardware, controls, behavior, AI, and perception subsystems.
• Architect and execute bring-up, validation, and end-of-line (EOL) test processes for humanoid robots.
• Develop test tools and automation scripts in C++ and Python to streamline integration and data analysis.
• Design and run validation plans that stress full-robot functionality across real-world use cases.
• Debug and triage cross-disciplinary issues spanning mechanical, electrical, firmware, and software systems.
• Collaborate with design, controls, behaviors and software teams to define testable behaviors and verify subsystem performance.
• Instrument robots using diagnostic tools (oscilloscopes, logic analyzers, telemetry logs) to characterize performance and identify failure modes.
• Build dashboards, metrics, and reports to track system performance and fleet health over time.
• Document integration workflows, test results, and lessons learned to improve future build efficiency.
• Contribute to the automation of regression testing and continuous validation across the robot fleet.

Requirements: 

• Bachelor’s or Master’s degree in Robotics, Electrical Engineering, Mechanical Engineering, Computer Science, or a related field.
• 3–5+ years of experience working with complex robotic or electromechanical systems.
• Proficiency in C++ and Python for software development, scripting, and debugging.
• Strong system-level understanding across hardware, firmware, and software layers.
• Experience with Linux, Git, and standard diagnostic tools (oscilloscope, multimeter, log analyzers).
• Hands-on experience validating real-time control systems, behaviors, or perception pipelines.
• Ability to thrive in a fast-paced, lab-focused R&D and production environment.

Bonus Qualifications: 

• Experience with humanoid or legged robots.
• Familiarity with ROS2, behavior trees, or motion planning frameworks.
• Background in hardware bring-up, calibration systems, or production-level validation.
• Exposure to high-reliability or safety-critical robotic systems.

The US base salary range for this full-time position is between $170,000 - $250,000 annually.

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended. 

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is based in San Jose, CA and requires 5 days/week in-office collaboration.

We are seeking a motivated Mid-Level Full-Stack Engineer to own the end-to-end lifecycle of our robot fleet telemetry, data management, and visualization tools. This role bridges the gap between raw hardware signals and actionable human-centric insights. You will design and maintain the data pipelines that process high-volume fleet telemetry while building the front-end interfaces that power fleet health monitoring, regression detection, and executive reporting.

Responsibilities: 

• Data Pipeline Engineering: Design, implement, and maintain scalable data pipelines to process high-volume fleet telemetry and subassembly data into analytics-ready datasets.
• Full-Stack Development: Architect, design, and deploy tools for robot configuration, diagnosis, calibration, and user interaction.
• Data Visualization: Develop and maintain curated datasets and frameworks powering dashboards, regression monitoring tools, and fleet-level KPIs.
• API & Framework Design: Build scalable, well-documented APIs to support mission-critical operations and self-service analytics.
• Data Governance: Establish and enforce data quality standards, schema governance, and tagging conventions to ensure long-term maintainability of the telemetry layer.
• Cross-Functional Collaboration: Partner with Robotics, Middleware, and Operations teams to translate operational needs into structured data models and visualization requirements.
• System Analysis: Support raw-signal investigations and serve as a primary data owner during incident investigations to enable cross-subsystem root-cause analysis.

Requirements: 

• Education: Bachelor’s or Master’s degree in Computer Science, Data Engineering, Robotics, or a related field.
• Experience: 3+ years of industry experience in software development or designing telemetry/analytics platforms.
• Front-End Expertise: Proficiency in JavaScript/TypeScript, HTML5/CSS, React, and Next.js.
• Back-End & Data: Strong proficiency in Python and SQL; experience building cloud-based data pipelines (e.g., AWS S3, Glue, Redshift).
• Infrastructure: Experience with Docker for containerization and deployment.
• Systems Interest: A strong interest in working on software systems that interact with real hardware.
• Communication: Exceptional verbal and written communication skills with the ability to partner with both engineering and business stakeholders.

Bonus Qualifications: 

• Platform Experience: Direct experience using Databricks for data engineering, Spark processing, or analytics.
• Robotics: Prior experience with robotics, autonomous systems, or hardware-in-the-loop telemetry.
• Advanced Analytics: Experience supporting anomaly detection or ML-based telemetry analysis pipelines.
• Distributed Systems: Experience with distributed data processing tools such as PySpark.
• Custom Systems: Prior experience working with custom hardware/software integrations.

The US base salary range for this full-time position is between $150,000 - $240,000 annually.

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended. 

About the Role

As a Senior Product Advisor within the Product Management Alliances team at Veeam, you will be instrumental in shaping our product integration strategy in collaboration with leading hyperscaler platforms such as Microsoft Azure and AWS. In this role, you will function as a strategic technical partner—guiding the convergence of business needs and technical innovation to advance Veeam’s leadership in data management, protection, and resilience.

What You’ll Do

• Lead Cloud Integrations: Architect and implement advanced integrations between Veeam’s products and hyperscaler cloud platforms (AWS, Azure, GCP), delivering customer value through technical innovation and excellence
• Strategic Partner Collaboration: Serve as the primary technical liaison for hyperscaler partners, co-developing integration strategies, architectural frameworks, and best practices for joint solutions
• Cross-Functional Leadership: Collaborate closely with product management and engineering teams across organizations, providing architectural guidance and ensuring partner and customer insights shape product development
• Relationship Management: Cultivate and maintain strong technical relationships with hyperscaler stakeholders, sharing operational expertise and uncovering opportunities for joint innovation
• Technology Evangelism: Champion the adoption of emerging cloud and AI technologies within Veeam’s portfolio, enabling the delivery of next-generation workload protection solutions
• Internal Advisory: Act as a trusted technical advisor to internal teams—including Product Management, R&D, Support, and Sales Engineering—guiding product strategy and solution architecture
• Technical Escalation: Function as the senior escalation point for complex integration scenarios and critical customer engagements, resolving advanced technical challenges and ensuring project success
• Architectural Leadership: Assess and articulate the impact of architectural decisions on scalability, performance, and cost, while setting and advocating for high standards in integration and design

What You’ll Bring

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent professional experience
• Strong programming and engineering acumen, with the ability to interpret and analyze data structures, code architectures, and technical documentation
• Proven expertise in designing, architecting, and integrating products and solutions within hyperscaler environments (AWS, Azure, GCP) and complex enterprise software ecosystems
• In-depth knowledge of cloud-based data protection, storage technologies (including object storage), APIs, SaaS architectures, and AI-driven integrations
• Demonstrated success in technical leadership roles, including driving alignment and negotiation across multifaceted partnerships and alliances
• Exceptional communication and interpersonal skills, with a track record of engaging, influencing, and building relationships with diverse internal and external stakeholders
• Experience delivering compelling technical presentations, evangelizing products and solutions at industry events, and serving as a trusted advisor to customers and partners
• Advanced analytical and problem-solving abilities in cloud environments, with a history of resolving complex technical challenges and thoroughly documenting solutions
• Willingness to travel approximately 5–7 weeks per year

Bonus Skills

• Relevant certifications such as AWS Certified Solutions Architect or Microsoft Certified: Azure Solutions Architect Expert
• Experience with DevOps practices and automation tools
• Background in product management or technical alliances within the cloud ecosystem
• Experience working in a global, cross-functional, or matrixed organization