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

The AGI (Artificial General Intelligence) Computing Lab is dedicated to solving the complex system-level challenges posed by the growing demands of future AI/ML workloads. Our team is committed to designing and developing scalable platforms that can effectively handle the computational and memory requirements of these workloads while minimizing energy consumption and maximizing performance. To achieve this goal, we collaborate closely with both hardware and software engineers to identify and address the unique challenges posed by AI/ML workloads and to explore new computing abstractions that can provide a better balance between the hardware and software components of our systems. Additionally, we continuously conduct research and development in emerging technologies and trends across memory, computing, interconnect, and AI/ML, ensuring that our platforms are always equipped to handle the most demanding workloads of the future. By working together as a dedicated and passionate team, we aim to revolutionize the way AI/ML applications are deployed and executed, ultimately contributing to the advancement of AGI in an affordable and sustainable manner. Join us in our passion to shape the future of computing!

Location:  Daily onsite presence at our San Jose, CA office / U.S. headquarters in alignment with our Flexible Work policy.

What You’ll Do

• Develop and maintain highly interactive, large-scale and complex web-based visual analytics tools on AI/ML workloads.
• Design and implement creative and performant visualizations to assist in diagnosing issues or uncovering optimization opportunities in AI/ML inference and serving.
• Collaborate closely with hardware architects and compiler engineers to define, design, and implement effective visualization solutions enhancing their workflow.
• Develop high-performance visualization workflows by integrating independent graphics modules with micro-services to handle asset optimization, ensuring a non-blocking experience on the client.
• Continuously seek improvements to existing tools and develop new approaches to meet fast-evolving requirements.
• Stay up-to-date with the latest advancements in web development and visualization techniques.
• Contribute to the development of the documentation and user guides.
• Complete other responsibilities as assigned.

What You Bring

• Bachelor’s with 10+ years, or Master’s with 8+ years, or PhD's with 5+ years of industry experience.
• An innate drive to clarify deep technical complexity, balancing creative visualization with engineering rigor to build analytical tools that make interdependent hardware and software models intuitive without sacrificing logical precision.
• Strong experience in full-stack visual analytics software development, with a focus on building scientific or infrastructure visualization tools. Experience in AI model visualization integrated with PyTorch is a plus.

• Strong proficiency in modern frontend technologies like React and backend technologies like Node.js or Python-based frameworks. Experience in graph-based UI is a plus.
• Proven experience in WebGL/WebGPU based frameworks such as three.js or deck.gl. GLSL experience is a plus. Experience in WebAssembly with C++ is a plus.
• Excellent problem-solving skills and ability to think critically and creatively.

• Excellent communication and interpersonal skills.
• Ability to work independently and as part of a team.
• You’re inclusive, adapting your style to the situation and diverse global norms of our people.
• An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
• Innovative and creative, you proactively explore new ideas and adapt quickly to change.

#LI-VL1

Role

We are looking for a Staff Software Development Engineer - DevSecOps to join our team in a hybrid capacity in San Jose, CA, reporting to the Director, Software Development Engineering. Our Engineering team built the world’s largest cloud security platform from the ground up, and we keep building. You will support internal product teams in managing CI/CD pipelines, strengthening security practices, and maintaining shared engineering systems to enable organizations worldwide to harness speed and agility with a cloud-first strategy.

What you’ll do (Role Expectations)

• Build and manage CI/CD systems to deploy critical applications across hybrid cloud environments including AWS, GCP, and proprietary clouds

• Support internal product teams with CI/CD pipelines, automations, and tools like GitLab, GitHub, Jenkins, ArgoCD, and security scanning solutions

• Secure code, applications, and infrastructure using security scanning tools such as SonarQube, Snyk, Coverity, and CheckMarx

• Administer and optimize critical DevSecOps applications while monitoring build metrics with tools like Grafana, Prometheus, and CloudWatch

• Communicate progress to stakeholders through Jira, technical documentation, and clear status updates

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.

• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.

• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.

• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What We’re Looking for (Minimum Qualifications)

• 5+ years of professional experience including hands-on experience managing cloud environments such as AWS, GCP, or private clouds

• Proficiency in application development or automation using OOP languages like C/C++, Java, Python, or Go, plus exposure to container orchestration and automation tools

• Familiarity with application security testing methodologies and experience using tools like SonarQube, Snyk, Coverity, or CheckMarx

• Experience designing and managing GitOps-based pipelines using GitLab, GitHub, and CI/CD automation tools like Jenkins or GitHub Actions

• Bachelor’s degree in Computer Science or a related field, or equivalent practical experience

What Will Make You Stand Out (Preferred Qualifications)

• Experience with AI and ML tools in day to day DevSecOps activities

• Experience writing and developing yaml based CI/CD Pipelines and knowledge of build tools like makefiles, gradle, npm, or maven

• Experience with Networking, Load Balancers, Firewalls, and Web Security

#LI-Hybrid #LI-KM9

Summer Internship  

Our Summer Internship is designed for students leading into their final year of university, who want to gain real life work experience in a fast past, exciting and professional environment.   

As a Summer Intern, you will participate in onboarding with the UR team that will set you up for success in your role. You will also benefit from professional development sessions, networking, and social events provided by the Internship Program.   

The program takes place from June – August 2026 (12 week program)  

Software Engineering Intern - Platform, Security & AI 

What We're Looking For 

• Passion & Drive: Strong willingness to learn, innovate, and contribute to the intersection of Cyber Security, Data Resilience, and AI. 

• Technical Foundation: High level of comfort in a major programming language (Python, Go, or Java preferred). You should understand core data structures, algorithms, and how to independently debug your own code. 

• Security & AI Knowledge: Familiarity with Cyber & Data Security practices, alongside a foundational understanding of AI Agents, LLMs, and Agent Evaluations. 

• Infrastructure & Tooling: Experience with Kubernetes and containerization. 

• Collaboration: Basic knowledge of Git and GitHub for collaborative software development. 

Nice To Have 

• Cloud & Infrastructure: Working knowledge of Kubernetes/Helm and an understanding of the basics of CI/CD pipelines. 

• Architecture: Exposure to event-driven systems (e.g., Redis Pub/Sub, NATS) and experience with workflow orchestration systems like Temporal. 

• GenAI Expertise: Understanding or prior experience with GenAI concepts like RAG, Vector Databases, and Embeddings. 

• AI Frameworks & Pipelines: Usage of AI frameworks (e.g., LangChain, LangGraph) and an understanding of how to develop, tune, and deploy AI/ML frameworks and Data Model pipelines. 

What You Could Be Working On 

• Backend & Infrastructure: Write backend code and automation in Go within a large, production-grade codebase. You will learn established patterns for scalable infrastructure under the guidance of senior engineers, deploying and managing containerized applications across Kubernetes clusters and AWS infrastructure (EKS, ECR, IAM). 

• AI & Agent Development: Build long-running agents that unleash the full power of the Securiti AI + Veeam platforms for CISOs and security analysts. This includes unlocking automated breachimpact analysis, compliance reporting, and data access auditing across hybrid multicloud environments. 

• Agent Evaluation & Knowledge Pipelines: Develop Agent Evaluation Pipelines to measurably assess reliability and task completion rates. You will also build knowledge discovery pipelines that surface institutional knowledge (policy research, compliance frameworks) into agent-consumable layers for sharper decision-making. 

• Security & Vulnerability Management: Analyze Kubernetes deployment configurations to identify and fix security gaps. You will help manage the CVE lifecycle by identifying and patching vulnerabilities in container images to harden the platform. 

• Tooling & Reliability: Develop internal tooling, testing harnesses, and security utilities to improve team productivity. You will also execute and validate API and cross-service integration tests to ensure system reliability as the platform evolves. 

Targeted Field of Study Currently pursuing a Bachelors or Master’s degree in: 

• Computer Science 

• Software Development / Software Engineering 

• Systems Engineering 

• Cybersecurity 

• Or other closely related fields. 

Requirements:

• This role requires you to be in office 2-3 days a week at the San Jose, California location

Applicants must be authorized to work in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa now or in the future. 

Benefits

As a paid intern at Veeam, you’ll receive:

• Paid Company Holidays during your internship
• Tech Stipend to help set up your workspace
• 8 Hours of Paid Volunteer Time through our Veeam Cares Program
• Personal and Professional Development through our Internship Program

We’re committed to providing a supportive and rewarding internship experience.

Title: Lead / Principal Product Manager, AI 

Location: Austin, TX / Dallas, TX / Morristown, NJ / San Jose, CA (Hybrid) 

Reporting to: Chief Product Officer 

*This role can be filled at either the Lead or Principal level. Final leveling will be determined based on the candidate's depth of experience, scope of past impact, and demonstrated leadership. 

About Hippo: 

Hippo exists to protect the joy of homeownership. We believe that insurance should protect the things you treasure through an intuitive, modern experience. We provide tailored insurance coverage and preventative maintenance plans that keep you protected throughout your homeowner journey. We’ll also help you find coverage for everything life brings—from auto to flood—reimagining how you care for your home. 

About This Role: 

Hippo is looking for an AI product leader to identify, build, and scale high-impact AI-powered products across our business — driving growth, operational excellence, and seamless customer experiences. 

This is a hands-on, 0→1 builder role. You'll work with small, scrappy cross-functional teams to move quickly from problem discovery to prototype to production. Success in this role means shipping real AI solutions, learning fast, and translating emerging technology into measurable business impact. 

You'll partner closely with Product, Engineering, Data, Operations, and Business teams to ensure AI is deployed responsibly, transparently, compliantly, and effectively. 

You will be the champion and evangelist of AI internally with both technical and non-technical teams to continue to unlock more use cases and value across the organization. 

If you are passionate about harnessing AI to transform operations, risk management, and customer experiences into best-in-class capabilities, this is the role for you. 

What You'll Do: 

• Identify and own high-impact AI opportunities across Hippo’s products and operations, grounded in real customer and business problems across service, claims, underwriting, finance, product teams, and end-customers 

• Build and ship AI-powered products — working hands-on with engineers, data scientists, and third-party tools to prototype, test, deploy, and iterate in production 

• Lead end-to-end product execution, from problem framing and success metrics through launch, adoption, and continuous improvement 

• Make smart build vs. buy decisions and define MVP scopes that balance speed, quality, and long-term scalability 

• Design effective human-AI workflows that are intuitive, trustworthy, and aligned with how teams actually work 

• Champion responsible AI practices, partnering with the AI Committee to ensure transparency, explainability, and compliance 

• Evangelize and build momentum through delivery, then help teams adopt and extend successful AI solutions across the organization 

Must Haves: 

Required for both levels: 

• Demonstrated ability to translate ambiguous business problems into shipped solutions with measurable impact 

• Comfort rolling up their sleeves to shape MVPs, workflows, experiments, and early production systems 

• Thinks end-to-end from data inputs to model outputs to user experience and business outcomes 

• Passion for emerging technologies and hands-on experience with latest AI models & tools. Excited to help Hippo build trust-centered AI experiences 

• Experience shipping products from early concept through launch and iteration in real-world environments 

• Strong understanding of the AI/ML product lifecycle (data readiness, modeling, deployment, monitoring, iteration) 

• Bachelor's degree in Computer Science, Data Science, Statistics, or equivalent practical experience 

For the Lead Product Manager level: 

• 6+ years of product management experience building high-impact products and features, with at least 1 year working with AI products 

• 2+ years of product management experience in insurance or other regulated financial services 

For the Principal Product Manager level: 

• 8+ years of product management experience building high-impact products and features, with at least 2 years working hands-on with AI products 

• Proven track record of setting product strategy, influencing senior leadership, and driving cross-functional alignment at scale 

Nice to Haves: 

• Advanced degree (MS or MBA) 

• 2+ years of product management experience in insurance or other regulated financial services. 

• Experience with AI governance, model risk management, or explainability frameworks 

• Insurance certifications (CPCU, ARe) or analytics certifications 

Benefits and Perks 

Hippo treats its team members with the same level of dedication and care as we do our customers, which is why we’re fortunate to provide all of our Hippos with: 

• Healthy Hippos Benefits - Multiple medical plans to choose from and 100% employer covered dental & vision plans for our team members and their families. We also offer a 401(k)-retirement plan, short & long-term disability, employer-paid life insurance, Flexible Spending Accounts (FSA) for health and dependent care, and an Employee Assistance Program (EAP) 

• Equity - This position is eligible for equity compensation  

• Training and Career Growth - Training and internal career growth opportunities 

• Flexible Time Off - You know when and how you should recharge 

• Little Hippos Program - We offer 12 weeks of parental leave for primary and secondary caregivers 

• Hippo Habitat - Snacks and drinks available and catered lunches for onsite employees 

The San Jose, CA and Morristown, NJ base pay ranges for this role are: 

• Principal Product Manager: $175,000 - $262,000 

• Lead Product Manager $160,000 - $230,000 

Exact compensation may vary based on several job-related factors that are unique to each candidate, including but not limited to: skill set, experience, education/training, location, business needs and market demands.  

Hippo is an equal opportunity employer, and we are committed to building a team culture that celebrates diversity and inclusion.  

Hippo’s applicants are considered solely based on their qualifications, without regard to an applicant’s disability or need for accommodation. Any Hippo applicant who requires reasonable accommodations during the application process should contact the Hippo’s People Team to make the need for an accommodation known. 

What You’ll Do

As the Director of Product Marketing for North America, you will be the strategic lead for Samsung’s most advanced memory solutions in the region. You will manage a high-performing team to drive the commercial success of High Bandwidth Memory (HBM) and Graphics Memory, acting as the critical link between North American market requirements and global product roadmaps.

This role sits at the intersection of AI infrastructure, hyperscale data centers, and next-generation graphics, shaping how cutting-edge memory technologies power the future of computing.

• Team Leadership: Build, mentor, and scale a high-impact North America product marketing team, fostering a culture of accountability, innovation, and continuous growth.
• Roadmap Influence: Represent the voice of the North American customer to global engineering and product teams; translate market signals, customer requirements, and competitive insights into clear, actionable inputs for product roadmap decisions.
• Regional Strategy: Define and execute the North American strategy across AI/ML, cloud, and gaming segments—ensuring alignment with global priorities while maximizing regional growth opportunities.
• Market Intelligence: Develop robust TAM forecasts, monitor Silicon Valley and broader industry trends, and deliver actionable competitive analysis to inform strategic decisions.

Sales Enablement & Business Development

• Design Win Leadership: Partner with Sales, FAEs, and engineering teams to identify opportunities, guide design-in cycles, and secure strategic design wins with key North American customers.
• Customer & Field Enablement: Lead the creation of compelling, technically credible marketing content and deliver high-impact training to sales teams and Tier-1 customers.
• Thought Leadership: Act as a visible industry leader and evangelist, representing the company at executive briefings, industry events, and key customer engagements.

 Execution & Cross-Functional Alignment

• Go-to-Market Excellence: Develop and execute regional GTM strategies, including product positioning, pricing frameworks, and launch plans tailored to the North American ecosystem.
• Global Collaboration: Operate effectively across regions and time zones - particularly with headquarters in Korea - to align regional demand with global supply, ensuring seamless execution and clear communication between stakeholders.

What You Bring

• Education: Bachelor’s degree required (Electrical Engineering or Computer Science preferred); MBA highly preferred.
• Experience: 15+ years in product or strategic marketing within semiconductors, graphics, gaming, or data center infrastructure.
• Leadership: proven success leading high-performing teams in fast-paced, technically complex environments.
• Domain Expertise: deep understanding of HBM, GDDR, and memory architectures, along with strong knowledge of AI hardware, GPUs, and hyperscale data center trends.
• Strategic Impact: Demonstrated ability to influence global product direction through data-driven insights and well-structured business cases.
• Analytical Strength: advanced proficiency in Excel and PowerPoint, with the ability to distill complex technical and financial data into executive-level narratives.
• Travel: willingness to travel domestically (~20%) and periodically internationally.

Additional Preferred Qualifications

•  Cross-Cultural Fluency: Experience working with Korea-based teams or within a Korean corporate environment.
• Language Skills: Familiarity with Korean language is a plus
• Cultural Agility: Demonstrated ability to navigate cross-cultural communication styles and decision-making processes in a global organization.

 The Ideal Candidate

• Strategic Operator: combines big-picture thinking with disciplined execution; anticipates risks and acts decisively.
• Curious Technologist: continuously learning and staying ahead of trends in AI, accelerated computing, and emerging memory architectures.
• Accountable Leader: takes full ownership of outcomes, operates with urgency, and delivers results without ego.
• Collaborative Influencer: builds trust across global teams, communicates with clarity, and elevates both team performance and organizational alignment.

 #LI-KS1

Principal, CPU Architecture & Performance Research Engineer

What You’ll Do

Architecture Research Lab is seeking Principal CPU Architecture & Performance Engineer to lead the definition, analysis, and optimization of next-generation CPU microarchitectures (RISC-V core). This role is focused on end-to-end performance: from architectural trade-offs and workload characterization to micro-architectural modeling, simulation, and silicon bring-up correlation.

You will work closely with architecture, design, compiler, and system teams to drive performance and efficiency across a broad set of real-world workloads

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

Job ID: 42918

• Define and evaluate CPU micro-architectural features for future cores (frontend, execution engine, memory hierarchy, interconnect).
• Lead performance analysis using simulators, RTL.
• Help develop and validate performance models (cycle-accurate, trace-driven, statistical).
• Characterize workloads (SPEC, server, client, AI/ML, cloud, internal traces) and translate findings into architectural requirements.
• Identify performance bottlenecks and propose data-driven optimizations.
• Drive architecture-to-implementation alignment with design team.
• Collaborate with compiler, OS, and system architects on cross-stack performance issues.
• Mentor senior and staff engineers; provide technical leadership across projects.
• Work leading to patents and publication

What You Bring

• Master’s with 18+ years of experience in Computer Engineering, Computer Science, or related field.
•  or PhD with 15+ years of experience preferred.
• 10+ years of experience in CPU microarchitecture and/or performance engineering.
• Experience with RISC-V, ARM or X86 architectures.
• Strong understanding of:
• Out-of-order execution, branch prediction, pipelines, and speculation
• Cache coherence, memory systems, prefetching, and NUMA effects
• Hands-on experience with architectural simulators (like gem5).
• Strong programming skills in C/C++ and Python.
• Familiarity with compiler optimizations and hardware/software co-design.
• Familiarity with SIMD / Vectors / VME for AI inference workloads.
• Experience analyzing large performance datasets and traces.
• Proven ability (Tapeout / Patents /Publications) to influence architecture / micro architectural decisions through quantitative analysis.

Preferred Qualifications

• Background in power/performance/area (PPA) trade-off analysis.
• Experience with SIMD/Vectors.
• Experience with compiler optimizations and hardware/software co-design.
• Prior technical leadership at Senior Staff or Principal level. 
• You’re inclusive, adapting your style to the situation and diverse global norms of our people. 
• You approach challenges with curiosity and resilience, seeking data to help build understanding. 
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches. 
• Innovative and creative, you proactively explore new ideas and adapt quickly to change.

#LI-SF1

What 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.

Principal Engineer, SOC Design

What You’ll Do

The DRAM Development Lab (DDL) is part of Samsung’s Memory Business Unit, the industry's technology and volume leader in DRAM, HBM and NAND Flash.  DDL’s vision is to solve key problems of Cloud & Data center by developing the new technology for memory and storage. The SOC team within DDL focuses on the development of silicon solutions. We are an integral part of Samsung’s strong R&D focus & lab innovation engine. We work closely with development teams to bring feature innovation to product roadmaps.

Come join the team that is creating new computing system architectures needed to support emerging machine learning applications, data analytics and edge computing. You’ll focus on enhancement of memory and storage capability by developing prototype and production controllers.

Job ID:  42866

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

• Participate in architectural definitions and responsible for micro architecture of subsystem and/or chip level.
• Responsible for top integration, logic design and RTL implementation along with quality check (Assertion, Lint, CDC, and STA).
• Reviews 3^rd party IPs including ARM cores, DDR controller, and UCIe PHY 
• Responsible for integrating the third part IPs and sub system at top level
• Work closely with architects and verification engineers to ensure sound design at SoC level.
• Work with physical designers on timing constraints, synthesis, DFT insertion, and static timing analysis

What You Bring

• Bachelors in Electrical, Computer Science or related with 20+ years of experience or Masters in Electrical, Computer Science or related Science with 18+ years of Industry Experience or PhD in Electrical, Computer Science or related Science with 15+ years of Industry experience preferred.
• Highly motivated with good verbal and written communication skills.
• Hands on knowledge & experience in ASIC design flow from design to tape out.
• Experience & Good knowledge in ATE vector generation, testing and silicon bring up.
• Experience in the commercial IPs such as UCIe, CPU, Ethernet, and DDR interfaces.
• Good understanding of PPA (performance, power, and area) trade-offs.
• Experience in SoC level synthesis, timing analysis, lint check, CDC checks.
• Experience in interfacing 3^rd party service companies for DFT/PI/PD.
• Good knowledge and experience in AMBA bus fabric, ARM cores.
• Self-motivated problem-solver with an ability to work well in a team.
• You’re inclusive, adapting your style to the situation and diverse global norms of our people.
• An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
• Innovative and creative, you proactively explore new ideas and adapt quickly to change.

#LI-SF1

The AGI (Artificial General Intelligence) Computing Lab is dedicated to solving the complex system-level challenges posed by the growing demands of future AI/ML workloads. Our team is committed to designing and developing scalable platforms that can effectively handle the computational and memory requirements of these workloads while minimizing energy consumption and maximizing performance. To achieve this goal, we collaborate closely with both hardware and software engineers to identify and address the unique challenges posed by AI/ML workloads and to explore new computing abstractions that can provide a better balance between the hardware and software components of our systems. Additionally, we continuously conduct research and development in emerging technologies and trends across memory, computing, interconnect, and AI/ML, ensuring that our platforms are always equipped to handle the most demanding workloads of the future. By working together as a dedicated and passionate team, we aim to revolutionize the way AI/ML applications are deployed and executed, ultimately contributing to the advancement of AGI in an affordable and sustainable manner. Join us in our passion to shape the future of computing!

This role is being offered under the AGICL lab as a part of DSRA. We are a research-driven systems lab working at the intersection of large language models, accelerator hardware, and high-performance software stacks. Our mission is to design, prototype, and optimize next-generation AI systems through tight hardware–software co-design.

Our team works hands-on with cutting-edge accelerator hardware, experimental memory systems, and emerging domain-specific languages (DSLs). We build and optimize a Triton-based software stack that pushes the limits of performance, efficiency, and scalability for modern LLM workloads.

We are looking for a Senior AI Systems Engineer with deep experience in high performance Triton kernel development on modern accelerators. In this role, you will design, analyze, and optimize performance-critical kernels used in large scale LLM inference and training pipelines. You will work closely with hardware architects, compiler engineers, and ML researchers to identify performance bottlenecks, interpret profiling data, and co-design solutions that span software and hardware boundaries.

This role is ideal for engineers who enjoy working close to the hardware stack while still reasoning deeply about model level abstractions.

Location:  Daily onsite presence at our San Jose, CA office / U.S. headquarters in alignment with our Flexible Work policy.

What You’ll Do

• Design, implement, and optimize high-performance Triton kernels for LLM workloads on existing accelerators.
• Analyze kernel performance using profiling tools; interpret metrics such as latency, throughput, occupancy, memory bandwidth, and compute utilization.
• Identify performance bottlenecks in kernel design (e.g., memory access patterns, synchronization, tiling strategies) and propose concrete optimizations.
• Work across the stack; from model architecture to kernel implementation—to ensure end-to-end performance efficiency.
• Collaborate with hardware and compiler teams on hardware–software co-design, providing feedback that influences future accelerator and DSL designs.
• Prototype and evaluate kernel optimizations using upcoming DSLs and experimental compiler flows.
• Contribute to the evolution of a Triton-based software stack used for cutting-edge research and production-grade experimentation.
• Document design decisions, performance trade-offs, and optimization strategies clearly for internal and external stakeholders.

What You Bring

• Bachelor’s with 5+ years, or Master’s with 3+ years, or PhD's with 0+ years of industry experience.
• Strong experience writing high-performance Triton kernels for GPUs or other accelerators.
• Solid understanding of LLM fundamentals, including attention mechanisms, transformer architectures, and inference/training workflows.
• Deep knowledge of accelerator hardware architecture, including:  Memory hierarchies (HBM, SRAM, caches).
• Proven ability to read and interpret profiling data and performance counters.
• Experience diagnosing and resolving performance bottlenecks in kernel-level code.
• Strong systems programming skills in Python and low-level performance-oriented programming paradigms.
• Experience with hardware–software co-design or compiler-assisted optimization.
• Familiarity with FlashAttention, fused kernels, MoE kernels, and different attention mechanisms.
• Experience working with emerging or experimental domain-specific languages (DSLs) for accelerator programming.
• Background in ML systems, compilers, or performance engineering.
• Prior experience working with different accelerator backends (including but not limited to CUDA).
• Opportunity to work on cutting-edge accelerator hardware and experimental software stacks.
• Direct impact on the performance and design of next-generation AI systems.
• A highly collaborative environment spanning hardware, systems, and ML research.
• Flexibility to publish, prototype, and influence future hardware and software directions.
• Ability to work effectively in cross-functional, research-oriented environments.
• Strong analytical and problem-solving skills.
• You’re inclusive, adapting your style to the situation and diverse global norms of our people.
• An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
• Innovative and creative, you proactively explore new ideas and adapt quickly to change.

#LI-VL1

The AGI (Artificial General Intelligence) Computing Lab is dedicated to solving the complex system-level challenges posed by the growing demands of future AI/ML workloads. Our team is committed to designing and developing scalable platforms that can effectively handle the computational and memory requirements of these workloads while minimizing energy consumption and maximizing performance. To achieve this goal, we collaborate closely with both hardware and software engineers to identify and address the unique challenges posed by AI/ML workloads and to explore new computing abstractions that can provide a better balance between the hardware and software components of our systems. Additionally, we continuously conduct research and development in emerging technologies and trends across memory, computing, interconnect, and AI/ML, ensuring that our platforms are always equipped to handle the most demanding workloads of the future. By working together as a dedicated and passionate team, we aim to revolutionize the way AI/ML applications are deployed and executed, ultimately contributing to the advancement of AGI in an affordable and sustainable manner. Join us in our passion to shape the future of computing!

We are looking for a Senior Engineer, Performance Architecture.  This role is being offered under the AGICL lab as a part of DSRA. We are a research-driven systems lab working at the intersection of large language models, accelerator hardware, and high-performance software stacks. Our mission is to design, prototype, and optimize next-generation AI systems through tight hardware–software co-design.

Location:  Daily onsite presence at our San Jose, CA office / U.S. headquarters in alignment with our Flexible Work policy.

What You’ll Do

• Model the architecture, performance, and power characteristics of Memory Centric Computing platforms
• Develop and optimize models to explore a large design space.
• Analyze various trade-offs within a design space, considering different architectural choices and workloads.
• Collaborate with architecture, design and software engineers to ensure that the PPA of modeled systems meet the requirements of our users
• Conduct research and development in emerging technologies and trends in AI/ML workloads and Memory Centric Computing architectures
• Communicate effectively with stakeholders, including users, partners, and management, to ensure that the systems are delivered on time and within budget

What You Bring

• BS in Computer/Electrical Engineering or Computer Science with 5+ years of working experiences in silicon development or MS in Computer/Electrical Engineering or Computer Science with 3+ years of relevant working experience or PhD and 0+ years of relevant working experience preferred.
• Strong background in computer architecture
• Experiences in developing and optimizing models for high-performance computing systems
• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills
• Ability to work independently and as part of a team
• You’re inclusive, adapting your style to the situation and diverse global norms of our people.
• An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
• Innovative and creative, you proactively explore new ideas and adapt quickly to change.

#LI-VL1

What 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.

The AGI (Artificial General Intelligence) Computing Lab is dedicated to solving the complex system-level challenges posed by the growing demands of future AI/ML workloads. Our team is committed to designing and developing scalable platforms that can effectively handle the computational and memory requirements of these workloads while minimizing energy consumption and maximizing performance. To achieve this goal, we collaborate closely with both hardware and software engineers to identify and address the unique challenges posed by AI/ML workloads and to explore new computing abstractions that can provide a better balance between the hardware and software components of our systems. Additionally, we continuously conduct research and development in emerging technologies and trends across memory, computing, interconnect, and AI/ML, ensuring that our platforms are always equipped to handle the most demanding workloads of the future. By working together as a dedicated and passionate team, we aim to revolutionize the way AI/ML applications are deployed and executed, ultimately contributing to the advancement of AGI in an affordable and sustainable manner. Join us in our passion to shape the future of computing!

Location:  Daily onsite presence at our San Jose, CA office / U.S. headquarters in alignment with our Flexible Work policy.

What You’ll Do

• Develop the verification infrastructure and automation environment involved in build, simulation, regression and triages.
• Lead the verification for IP blocks of an AI accelerator by working with architects and RTL engineers.
• Create direct or random testbench, define verification scope and test plans for both functional and performance validation, close the verification quality metrics.
• Provide comprehensive documentation of verification strategy and ensure test environment is easy to use.
• Mentor junior engineers when necessary
• Work cross-functionally in debugging failures with design, compiler and simulation engineers

What You Bring

• Bachelor’s with 15+ years, or Master’s with 13+ years, or PhD's with 10+ years of industry experience.
• Strong background in SoC or IP verification and test bench development using UVM, System Verilog, C/C++ and scripting languages such as Perl/Python.
• Experience verifying at multiple levels of logic from scratch, starting from complex IP blocks to dies to SoCs to full system testing
• Understanding RTL and strong overall debugging skills
• Prior experience with computational logic, interconnect networks and/or memory system is desirable
• Strong background in microarchitecture and computer architecture preferably in the area of AI accelerators
• Knowledge of FPGA and emulation platforms preferred
• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills
• Ability to work independently and as part of a team
• You’re inclusive, adapting your style to the situation and diverse global norms of our people.
• An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.

#LI-VL1

The AGI (Artificial General Intelligence) Computing Lab is dedicated to solving the complex system-level challenges posed by the growing demands of future AI/ML workloads. Our team is committed to designing and developing scalable platforms that can effectively handle the computational and memory requirements of these workloads while minimizing energy consumption and maximizing performance. To achieve this goal, we collaborate closely with both hardware and software engineers to identify and address the unique challenges posed by AI/ML workloads and to explore new computing abstractions that can provide a better balance between the hardware and software components of our systems. Additionally, we continuously conduct research and development in emerging technologies and trends across memory, computing, interconnect, and AI/ML, ensuring that our platforms are always equipped to handle the most demanding workloads of the future. By working together as a dedicated and passionate team, we aim to revolutionize the way AI/ML applications are deployed and executed, ultimately contributing to the advancement of AGI in an affordable and sustainable manner. Join us in our passion to shape the future of computing!

We are looking for a Senior Engineer, RTL Memory Centric Computing.  This role is being offered under the AGICL lab as a part of DSRA. We are a research-driven systems lab working at the intersection of large language models, accelerator hardware, and high-performance software stacks. Our mission is to design, prototype, and optimize next-generation AI systems through tight hardware–software co-design.

Location:  Daily onsite presence at our San Jose, CA office / U.S. headquarters in alignment with our Flexible Work policy.

What You’ll Do

• Develop IP for memory centric computing systems using Verilog, System Verilog and HLS
• Optimize the IP for performance, power, and area by leveraging advanced design techniques such as pipelining, parallelism, and data compression.
• Collaborate with Verification engineers to design and develop test plans
• Make design decisions out of a large design trade-off space across performance, power, thermal, and cost.
• Troubleshoot and debug hardware issues and ensure the quality of the design through verification and validation.
• Stay up-to-date with the latest advancements in machine learning and hardware architecture and contribute to the development of new technologies.
• Communicate effectively with stakeholders, including users, partners, and management, to ensure that the systems are delivered on time and within budget
• Complete other responsibilities as assigned.

What You Bring

• Bachelor’s with 15+ years, or Master’s with 13+ years, or PhD's with 10+ years of industry experience.
• Strong background in microarchitecture and computer architecture
• 5+ years of experience in front-end design methodology involving RTL development for complex control and data path IPs
• Experience in designing Memory Controller, NOC, Interconnect IP
• Experience in Memory Centric computing IP and  SOC integration
• Experience in AI/ML workloads.
• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills
• Ability to work independently and as part of a team
• You’re inclusive, adapting your style to the situation and diverse global norms of our people.
• An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
• Innovative and creative, you proactively explore new ideas and adapt quickly to change

#LI-VL1

Staff, CPU Architecture & Performance Research Engineer

What You’ll Do

Architecture Research Lab  is looking for  Staff CPU Architecture & Performance Engineer to drive detailed performance analysis and architectural optimization for current and next-generation CPU (RISC-V) cores. This role focuses on deep ownership of performance-critical micro-architectural domains, workload analysis, and data-driven recommendations that influence core architecture decisions.

You will work closely with architects, design, compiler, and system teams to evaluate trade-offs, identify bottlenecks, and improve performance across real-world workloads

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

Job ID: 42850

• Own performance analysis for one or more CPU microarchitectural domains (e.g., frontend, execution engine, memory subsystem).
• Build, extend, and validate architectural performance models and simulators.
• Perform CPI/IPC breakdowns and root-cause performance bottlenecks.
• Evaluate microarchitectural features and optimizations using trace-driven, analytical, and cycle-accurate models.
• Characterize workloads and benchmarks (SPEC, server, client, AI/ML, internal traces).
• Translate performance data into clear architectural recommendations.
• Work leading to patents and publication.

What You Bring

• Master’s in Computer Engineering, Computer Science or related filed with 8+ years of experience or PhD in Computer Engineering, Computer Science, or related field with 5+ years of experience.
• 5+ years of experience in CPU microarchitecture and/or performance engineering.
• Experience with RISC-V, ARM or X86 architectures.
• Strong understanding of:
• Out-of-order execution, branch prediction, pipelines, and speculation
• Cache coherence, memory systems, prefetching, and NUMA effects
• Hands-on experience with architectural simulators (like gem5).
• Strong programming skills in C/C++ and Python.
• Experience analyzing large performance datasets and traces.
• Familiarity with compiler optimizations and hardware/software co-design..
• Proven ability - prior tapeout experience.

Preferred Qualifications

• Background in power/performance/area (PPA) trade-off analysis.
• Experience / Familiarity with SIMD / Vectors / VME for AI inference workloads..
• Prior  leadership guiding junior engineers.
• Prior patent / publication experience. 
• You’re inclusive, adapting your style to the situation and diverse global norms of our people. 
• You approach challenges with curiosity and resilience, seeking data to help build understanding. 
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches. 
• Innovative and creative, you proactively explore new ideas and adapt quickly to change.

#LI-SF1

The AGI (Artificial General Intelligence) Computing Lab is dedicated to solving the complex system-level challenges posed by the growing demands of future AI/ML workloads. Our team is committed to designing and developing scalable platforms that can effectively handle the computational and memory requirements of these workloads while minimizing energy consumption and maximizing performance. To achieve this goal, we collaborate closely with both hardware and software engineers to identify and address the unique challenges posed by AI/ML workloads and to explore new computing abstractions that can provide a better balance between the hardware and software components of our systems. Additionally, we continuously conduct research and development in emerging technologies and trends across memory, computing, interconnect, and AI/ML, ensuring that our platforms are always equipped to handle the most demanding workloads of the future. By working together as a dedicated and passionate team, we aim to revolutionize the way AI/ML applications are deployed and executed, ultimately contributing to the advancement of AGI in an affordable and sustainable manner. Join us in our passion to shape the future of computing!

Location:  Daily onsite presence at our San Jose, CA office / U.S. headquarters in alignment with our Flexible Work policy.

What You’ll Do

• Develop the verification infrastructure and automation environment involved in build, simulation, regression and triages.
• Lead the verification for IP blocks of an AI accelerator by working with architects and RTL engineers.
• Create direct or random testbench, define verification scope and test plans for both functional and performance validation, close the verification quality metrics.
• Provide comprehensive documentation of verification strategy and ensure test environment is easy to use.
• Mentor junior engineers when necessary
• Work cross-functionally in debugging failures with design, compiler and simulation engineers

What You Bring

• Bachelor’s with 10+ years, or Master’s with 8+ years, or PhD's with 5+ years of industry experience.
• Strong background in SoC or IP verification and test bench development using UVM, System Verilog, C/C++ and scripting languages such as Perl/Python.
• Experience verifying at multiple levels of logic from scratch, starting from complex IP blocks to dies to SoCs to full system testing
• Understanding RTL and strong overall debugging skills
• Prior experience with computational logic, interconnect networks and/or memory system is desirable
• Strong background in microarchitecture and computer architecture preferably in the area of AI accelerators
• Knowledge of FPGA and emulation platforms preferred
• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills
• Ability to work independently and as part of a team
• You’re inclusive, adapting your style to the situation and diverse global norms of our people.
• An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.

#LI-VL1

Memory IO Lab is part of Samsung’s Memory Business Unit, the industry's all-time DRAM and NAND Flash leader both in technology as well as in volume. Memory IO’s vision is to provide memory interface technology solutions which can be adopted in DDR, LPDDR, GDDR, and more. We are an integral part of Samsung’s paramount R&D innovation engine. We work closely with cross-disciplinary development teams to bring feature innovation to product roadmaps.

Come and join the team that is providing the next generation IO tech solutions to support emerging machine learning applications, data analytics, and edge computing.

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

What You'll Do

• Hands on in analog circuit design, which includes circuit design, running simulations to confirm functionality and performance, and work with verification team to verify design. The mixed-signal designs will include but are not limited to the following: high-speed data converters, PLL, and SERDES.
• Guide layout floor-planning block and top level to optimize the overall performance; supervise the layout activities and give concise guidelines to layout engineers, need to be hands on in drawing layout if necessary.
• Ownership of circuit and system specifications.
• Simulate designs with state-of-the-art CAD tools.
• Document designs and simulation results.

What You Bring

• BS 10+ years experience, MS 8+years of experience, PhD 5+ years experience in Electrical Engineering, Computer Science preferred. 
• 5+ years of experience working with system on chip architecture, high-speed serial interfaces, analog and mixed-signal circuit designs using advanced CMOS technology nodes.
• Prior experience in design of any one of the standard high speed interfaces like DDR, LPDDR, , GDDR, HBM I/O interface.
• Needs to be an expert in providing and understanding layout requirements of high speed circuits.
• Knowledge of all facets of high speed I/O design but specifically should include DLL / PLL / FFE / CTLE / DFE, output drivers , ODT, Duty cycle correction (DCC), Training/calibration to improve timing, high speed power design and low power design.
• Experience working closely with device/process team to define transistor specs
• The ideal individual must have proven ability to achieve results in a fast moving, dynamic environment.
• Ability to troubleshoot and analyze complex problems.
• Excellent communication (written and verbal) and interpersonal skills
• Experience in high frequency clock distribution design, implementation, and analysis.
• Deep understanding of PPA (performance, power, and area) trade-offs.
• Ability to handle EDA tools well, such as Cadence, MATLAB (Simulink), and EM tools
• Experience on silicon bring-up and automatic measurement using script
• Strong scripting and automation skills using Tcl/Perl. Knowledge of Python is a plus.
• Self-motivated problem-solver with an ability to work well in a team.
• You’re inclusive, adapting your style to the situation and diverse global norms of our people.
• An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches
• Innovative and creative, you proactively explore new ideas and adapt quickly to change.

#LI-SF1

Samsung Semiconductor is hiring now for a Staff Engineer, Memory Systems Architecture.  The conventional DRAM failure analysis was physical electrical FA and physical FA. But, in the era of Data center, it is easier to track the field failure information. With this data set, Fault management team’s role is finding DRAM failure mode, abnormality and failure rate projection.

You will be part of an incubation team working on in-field telemetry intended to transform the Customer Quality Experience for Samsung memory products. Fault Management is the future of quality to minimize system downtime within AI/ML hardware deployments and workloads of the future. We analyze trends and patterns from enormous memory fleet telemetry to bucketize failures and perform virtual root-cause analysis. Telemetry analysis helps us design solutions to proactively avoid system downtime. We conduct research and develop both in-house and collaboratively in the industry with the opportunity to publish our findings through whitepapers and conferences. We are looking for innovative and passionate thinkers who can work in a start-up environment and are excited to shape the future of data centers around the world. Join us in our mission!

What You'll Do

• Based on the knowledge of SOC controller and memory operation including RAS feature, find and recommends better solution to mitigate the field DRAM failure rate.
• Needs to communicate better ECC scheme to customers based on Samsung DRAM failure mode(DQ and burst)
• Interface with customers to establish the value add of enabling in-field fault management architecture
• Contribute to the standardization of DRAM/HBM failure logging in the OCP.
• Propose and develop platform RAS (Reliability Availability Serviceability) algorithms for memory fault management such as page offlining, hPPR and conduct POC with known failure DIMMs in the real server and application.

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

Job ID: 42886

 What You Bring

• Bachelor’s degree with 10+ years of relevant industry experience, or Master’s with 8+ years or PhD with 5+ years hardware fault management, reliability, data center fleet management experience or related technical field preferred. (Must)
• Knowledge of platform memory subsystem, platform RAS (Reliability Availability Serviceability) such as ECC, page offlining, hPPR and hardware sparing.
• ECC design and verification and reverse engineering experience.
• Understanding on the address mapping between CPU and memory.
• Memory controller register modification.
• Linux kernel commit experience.
• DRAM and HBM failure mode understanding.
• You’re inclusive, adapting your style to the situation and diverse global norms of our people.
• An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
• Innovative and creative, you proactively explore new ideas and adapt quickly to change.

#LI-MD1

The AGI (Artificial General Intelligence) Computing Lab is dedicated to solving the complex system-level challenges posed by the growing demands of future AI/ML workloads. Our team is committed to designing and developing scalable platforms that can effectively handle the computational and memory requirements of these workloads while minimizing energy consumption and maximizing performance. To achieve this goal, we collaborate closely with both hardware and software engineers to identify and address the unique challenges posed by AI/ML workloads and to explore new computing abstractions that can provide a better balance between the hardware and software components of our systems. Additionally, we continuously conduct research and development in emerging technologies and trends across memory, computing, interconnect, and AI/ML, ensuring that our platforms are always equipped to handle the most demanding workloads of the future. By working together as a dedicated and passionate team, we aim to revolutionize the way AI/ML applications are deployed and executed, ultimately contributing to the advancement of AGI in an affordable and sustainable manner. Join us in our passion to shape the future of computing!

We are looking for a Senior Engineer, RTL Memory Centric Computing.  This role is being offered under the AGICL lab as a part of DSRA. We are a research-driven systems lab working at the intersection of large language models, accelerator hardware, and high-performance software stacks. Our mission is to design, prototype, and optimize next-generation AI systems through tight hardware–software co-design.

Location:  Daily onsite presence at our San Jose, CA office / U.S. headquarters in alignment with our Flexible Work policy.

What You’ll Do

• Develop IP for memory centric computing systems using Verilog, System Verilog and HLS
• Optimize the IP for performance, power, and area by leveraging advanced design techniques such as pipelining, parallelism, and data compression.
• Collaborate with Verification engineers to design and develop test plans
• Make design decisions out of a large design trade-off space across performance, power, thermal, and cost.
• Troubleshoot and debug hardware issues and ensure the quality of the design through verification and validation.
• Stay up-to-date with the latest advancements in machine learning and hardware architecture and contribute to the development of new technologies.
• Communicate effectively with stakeholders, including users, partners, and management, to ensure that the systems are delivered on time and within budget
• Complete other responsibilities as assigned.

What You Bring

• Bachelor’s with 10+ years, or Master’s with 8+ years, or PhD's with 5+ years of industry experience.
• Strong background in microarchitecture and computer architecture
• 5+ years of experience in front-end design methodology involving RTL development for complex control and data path IPs
• Experience in designing Memory Controller, NOC, Interconnect IP
• Experience in Memory Centric computing IP and  SOC integration
• Experience in AI/ML workloads.
• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills
• Ability to work independently and as part of a team
• You’re inclusive, adapting your style to the situation and diverse global norms of our people.
• An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
• Innovative and creative, you proactively explore new ideas and adapt quickly to change

#LI-VL1

The Technology Enabling Development Lab (TED) Our core development focus is the host interface firmware layer that sits in the intersection of system software and flash management firmware. This key host interface firmware technology drives Samsung’s breakthrough V-NAND technology and enables our customers to power performance-oriented, demanding, enterprise-class applications ranging from hyper-scale data centers, to big data processing, to software defined virtualized storage arrays and infrastructures.

Location:  Daily onsite presence at our San Jose, CA office / U.S. headquarters in alignment with our Flexible Work policy.

What You’ll Do

• Develop black-box functional test coverage and test methodologies for NVMe SSD's.
• Debug, triage failures and work with FW Team to reproduce problems, design and run experiments.
• Analyze customer field issues and improve Functional test coverage where gaps are identified.
• Provide guidance to the Automation team and assist with test coverage integration into the existing framework.
• Must be able to work with local US and international customers and OEMs.

What You Bring

• Bachelors and 10+ yrs, Masters and 8+ yrs’ with focus in Computer Science, Computer Engineering, Electrical Engineering or equivalent.
• Strong programming experience, demonstrated proficiency in scripting languages such as Python, Bash, Linux shell scripts etc.
• Excellent verbal and written communication skills.
• Ability to work individually and in teams.
• Prior NVMe, PCIe knowledge or experience with one or more of the following storage-related technologies: NVM Express, PCI Express, NAND Flash/FTL .
• Knowledge of Enterprise storage/server systems, and proficiency in Linux.
• Expertise in storage test tools such as performance benchmarks, IO stress tools, protocol certifications, test execution and bug management tools.
• Relevant hands-on experience in embedded software or firmware development/testing, including storage devices or other embedded platforms.
• Familiarity and experience with agile development methodologies and practices, particularly in AI/ML-focused environments, is preferred.
• Hands-on experience with PCI protocol analyzers.
• Demonstrated ability to work as a team player, as part of a local and globally distributed team.
• You’re inclusive, adapting your style to the situation and diverse global norms of our people.
• An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
• Innovative and creative, you proactively explore new ideas and adapt quickly to change.

#LI-VL1

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.

What You’ll Do:

As a strong AI and ML fundamentalist who is an expert at developing cutting-edge AI solutions to complex problems, you will develop code that eventually integrates into production and be responsible for:

• Design, implement, and evaluate novel machine learning and deep learning algorithms.
• Iterate on AI model development; starting from the data needed for training, architecture, input/output representations, evaluation, and deployment. 
• Collaborate with other researcher engineers to prototype and validate complex solutions from academic literature.
• Conduct experiments to benchmark new techniques and evaluate model behavior.
• Develop tools and frameworks to support scalable and reproducible research and development.
• Communicate research findings to leadership in a concise, and convincing manner.
• Stay current with the latest developments in AI/ML and identify relevant innovations.
• Assist in transitioning research prototypes into production-ready systems.

What You Need:

• M.S or PhD degree in Computer Science, or Computer Engineering with strong emphasis on AI and ML.
• Enjoys solving less-defined and complex problems
• Familiarity with good SW practices and development, including code quality, version control, etc.
• Very strong with ML frameworks such as Pytorch, or Tensorflow
• Good understanding of Transformer architectures, attention mechanisms, multi-modal foundation models, diffusion policies, fine-tuning, model distillation, mixture of experts, and other similar topics.
• Has strong ability to debug and determine requirements for AI models in terms of data, training, and evaluation.
• Is up to date with research literature and recent ML techniques and methodologies.

Bonus Qualifications:

• Experience with Reinforcement Learning, self-supervised training, and imitation learning is a plus.
• Experience developing VLA (Vision Language Action) models for robotic manipulation and mobility is a plus.
• Experience developing production AI models is a plus.
• Publications at top conferences are a plus.

Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $160,000.00 - $180,000.00 Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

What You’ll Do:

As a Staff AI and ML fundamentalist who is an expert at developing cutting-edge AI solutions to complex problems, you will develop code that eventually integrates into production and be responsible for:

• Design, implement, and evaluate novel machine learning and deep learning algorithms.
• Iterate on AI model development; starting from the data needed for training, architecture, input/output representations, evaluation, and deployment. 
• Collaborate with other researcher engineers to prototype and validate complex solutions from academic literature.
• Conduct experiments to benchmark new techniques and evaluate model behavior.
• Develop tools and frameworks to support scalable and reproducible research and development.
• Communicate research findings to leadership in a concise, and convincing manner.
• Stay current with the latest developments in AI/ML and identify relevant innovations.
• Assist in transitioning research prototypes into production-ready systems.

What You Need:

• M.S or PhD degree in Computer Science, or Computer Engineering with strong emphasis on AI and ML.
• Enjoys solving less-defined and complex problems
• Familiarity with good SW practices and development, including code quality, version control, etc.
• Very strong with ML frameworks such as Pytorch, or Tensorflow
• Good understanding of Transformer architectures, attention mechanisms, multi-modal foundation models, diffusion policies, fine-tuning, model distillation, mixture of experts, and other similar topics.
• Has strong ability to debug and determine requirements for AI models in terms of data, training, and evaluation.
• Is up to date with research literature and recent ML techniques and methodologies.

Bonus Qualifications:

• Experience with Reinforcement Learning, self-supervised training, and imitation learning is a plus.
• Experience developing VLA (Vision Language Action) models for robotic manipulation and mobility is a plus.
• Experience developing production AI models is a plus.
• Publications at top conferences are a plus.

Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $190,000 - $240,000 Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

What You’ll Do:

As a Principal AI and ML fundamentalist who is an expert at developing cutting-edge AI solutions to complex problems, you will develop code that eventually integrates into production and be responsible for:

• Design, implement, and evaluate novel machine learning and deep learning algorithms.
• Iterate on AI model development; starting from the data needed for training, architecture, input/output representations, evaluation, and deployment. 
• Collaborate with other researcher engineers to prototype and validate complex solutions from academic literature.
• Conduct experiments to benchmark new techniques and evaluate model behavior.
• Develop tools and frameworks to support scalable and reproducible research and development.
• Communicate research findings to leadership in a concise, and convincing manner.
• Stay current with the latest developments in AI/ML and identify relevant innovations.
• Assist in transitioning research prototypes into production-ready systems.

What You Need:

• M.S or PhD degree in Computer Science, or Computer Engineering with strong emphasis on AI and ML.
• Enjoys solving less-defined and complex problems
• Familiarity with good SW practices and development, including code quality, version control, etc.
• Very strong with ML frameworks such as Pytorch, or Tensorflow
• Good understanding of Transformer architectures, attention mechanisms, multi-modal foundation models, diffusion policies, fine-tuning, model distillation, mixture of experts, and other similar topics.
• Has strong ability to debug and determine requirements for AI models in terms of data, training, and evaluation.
• Is up to date with research literature and recent ML techniques and methodologies.

Bonus Qualifications:

• Experience with Reinforcement Learning, self-supervised training, and imitation learning is a plus.
• Experience developing VLA (Vision Language Action) models for robotic manipulation and mobility is a plus.
• Experience developing production AI models is a plus.
• Publications at top conferences are a plus.

Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $270,000.00 - $340,000.00 Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

What You’ll Do:

As a strong AI and ML fundamentalist who is an expert at developing cutting-edge AI solutions to complex problems, you will develop code that eventually integrates into production and be responsible for:

• Design, implement, and evaluate novel machine learning and deep learning algorithms.
• Iterate on AI model development; starting from the data needed for training, architecture, input/output representations, evaluation, and deployment. 
• Collaborate with other researcher engineers to prototype and validate complex solutions from academic literature.
• Conduct experiments to benchmark new techniques and evaluate model behavior.
• Develop tools and frameworks to support scalable and reproducible research and development.
• Communicate research findings to leadership in a concise, and convincing manner.
• Stay current with the latest developments in AI/ML and identify relevant innovations.
• Assist in transitioning research prototypes into production-ready systems.

What You Need:

• M.S or PhD degree in Computer Science, or Computer Engineering with strong emphasis on AI and ML.
• Enjoys solving less-defined and complex problems
• Familiarity with good SW practices and development, including code quality, version control, etc.
• Very strong with ML frameworks such as Pytorch, or Tensorflow
• Good understanding of Transformer architectures, attention mechanisms, multi-modal foundation models, diffusion policies, fine-tuning, model distillation, mixture of experts, and other similar topics.
• Has strong ability to debug and determine requirements for AI models in terms of data, training, and evaluation.
• Is up to date with research literature and recent ML techniques and methodologies.

Bonus Qualifications:

• Experience with Reinforcement Learning, self-supervised training, and imitation learning is a plus.
• Experience developing VLA (Vision Language Action) models for robotic manipulation and mobility is a plus.
• Experience developing production AI models is a plus.
• Publications at top conferences are a plus.

Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $160,000.00 - $180,000.00 Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

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.

As a Staff Condition Monitoring Engineer on our Electric Propulsion System team, you'll be at the forefront of solving complex challenges that directly impact the performance, safety, and evolution of Archer's cutting-edge electric aviation technology. This role combines expertise in vibration and health monitoring, predictive diagnostics, and powertrain design with strategic problem-solving to ensure our electric propulsion systems meet the highest standards of reliability and performance.

What You'll Do:

Data Analysis and Monitoring

• Review and analyze flight test data (vibration, thermal, structural) to support ongoing flight test campaigns
• Build and maintain robust analysis tools for processing flight and dynamometer test data
• Develop insights from complex datasets to inform design improvements and operational decisions

Algorithm Development and Implementation

• Own the development and implementation of onboard vibration and engine health monitoring algorithms
• Design predictive maintenance algorithms to optimize system reliability and performance
• Validate and refine monitoring systems throughout the design/development cycle

Leadership and Collaboration

• Lead by example, actively developing solutions alongside the team while providing technical oversight
• Collaborate with cross-functional team members to develop health monitoring metrics and analytical tools
• Work with systems, safety, and reliability teams to inform DFMEA and ensure requirements are properly validated and understood
• Mentor and/or oversee junior engineers

Testing and Validation

• Design and oversee validation and certification testing of vibration monitoring and other health monitoring functions
• Establish test protocols and acceptance criteria for health monitoring systems
• Support certification activities with regulatory authorities

External Partnership Management

• Manage relationships with outside flight instrumentation contractors and consultants
• Coordinate technical requirements and deliverables with external partners

What You Need:

Education and Experience

• Bachelor's degree in Mechanical Engineering, Aerospace Engineering, Electrical Engineering, or related field
• 8+ years of professional engineering experience in vibration analysis, structural or rotating equipment health monitoring, or related fields
• Experience with gearbox, turbine, or electric motor design, testing, or analysis for an automotive, aerospace, or defense application. 

Technical Skills

• Proficiency with data analysis tools and programming languages (Python, MATLAB, or similar)
• Ability to build and maintain data analysis software tools while employing software development and version control (Git, Bitbucket, etc.) best practices. 
• Expert understanding of vibration analysis and signal processing tools
• Experience with health monitoring algorithms and predictive maintenance techniques
• Knowledge of sensors, data acquisition systems, and instrumentation such as accelerometers, load cells, strain gauges, and oil debris sensors. 
• Familiarity with gearbox systems and failure modes. 

Communication and Organization

• Proven ability to organize and lead cross-functional technical initiatives
• Excellent presentation and communication skills to influence decision-making
• Capacity to translate complex technical concepts to clear, testable requirements 

Additional Requirements

• Availability for domestic travel as needed
• Demonstrated commitment to safety and quality in engineering practices

Bonus Qualifications:

• Aerospace development and certification experience
• Strong grasp of electric and/or hybrid powertrains
• Experience with requirements writing and management using tools such as DOORS, Polarion, or similar requirements management software
• Experience as a technical team lead or team manager
• Familiarity with FAA or EASA certification processes
• Experience with machine learning or AI applications in predictive maintenance

At Archer, we aim to attract, retain, and motivate talent with the skills and leadership needed to grow our business. We drive a pay-for-performance culture and reward performance that support the Company's strategy. For this position, we are targeting a base pay range of $152,000 - $200,000. Actual compensation offered will be determined by job-related knowledge, skills, and experience.

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

We are looking for 0 to 1 Software Engineers to join an elite team that is building out Archer’s Airline Operations Software Ecosystem. Engineers who have built and shipped multiple products across disciplines and languages are encouraged to apply. Experience with backend development combined with AI-focused front-end development is especially valued. 

This role is 10-days a month in-person at our HQ in San Jose, CA.

What You'll Do:

• Build Great Software: Take product requirements and turn them into beautiful, reliable, and high quality web and mobile applications
• Create and manage backend infrastructure including building database schemas, API architecture, orchestration services, and refining architecture
• Product Development: Lead end-to-end technical execution and receive full ownership of the software development lifecycle
• System Architecture: Design and implement the architecture and tech stack that will serve as the backbone for our platform while balancing scalability, speed, and reliability
  Contribute to the Roadmap: Ideate, plan, and prototype technical tools for aircraft performance and dispatch settings
• Work Cross-Functionally: Work with design, data science, and technical aviation experts to supercharge the features and products you are working on
• Knowledge of Code-Generation: Use the latest code-generation technologies to streamline your workflow and achieve breakthrough productivity
• AI-Native Product Building: Implement and productize novel machine learning and deep learning algorithms developed by our AI/ML research team 

What You Need:

• Minimum of 5 Years of Post-College Work or Entrepreneurial Experience 
• 4-Year College Degree in an Engineering Discipline (or multiple pieces of evidence of outstanding individual technical achievement)
• Evidence of End-End Product Ownership: Experience building all parts of software from front-end to back-end to cloud deployment
• Personal Projects: Rich Github history with examples of personal projects that can be shared with the hiring team and/or open-source contributions
• Technologies: Next.JS, Java Script, React, React Native, Python, Fast API, PostGres
• Design: Ability to create intuitive, clean, and professional products without a dedicated designer or design system
• AI: Strong understanding of how to implement and train AI systems into SaaS products and willingness to learn and adapt to building voice agent
• Infrastructure: Familiarity with building server-less & micro-service in popular cloud hyperscalers and managing production grade CI/CD pipelines
• Adaptability: Quickly and iteratively respond to needs of customers and turn product changes around on tight timelines

Bonus Qualifications:

• Infrastructure experience: k8s, S3, RDS, SQS, Lambda, Datadock, Docker, and Temporal Orchestration Service
• Strong passion for aviation and/or UAM
• Willingness and ability to transition between mobile and web development

Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $170,000.00 - $195,000.00  Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

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.

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 headquartered in San Jose, CA.

Data quality is one of the most important and least solved problems in humanoid robotics. The standards, tooling, and methodologies that worked for prior generations of AI, image classification, language, autonomous driving, don’t map cleanly onto the multimodal, embodied, sensor-rich data that Helix and our other AI systems learn from.

We are looking for a Data Quality Manager to own data quality at Figure end-to-end — setting the standards, building the tooling, and leading the team that produces the training data behind Helix and our other AI systems. This is not a labeling-team management role. We’re looking for a strategic operator and thought partner who will define what the next generation of data quality and annotation looks like for the humanoid robotics industry.

Responsibilities:

• Own data quality broadly at Figure — setting the strategy, standards, and operating model for how training data is produced, evaluated, and improved across all of our AI systems
• Own data quality metrics, including accuracy, consistency, rework rates, and guideline adherence across all labeling projects
• Define the standards, guidelines, QA methodologies, and audit processes for humanoid robot training data, effectively writing the playbook for an annotation discipline that doesn’t yet exist outside of a handful of frontier robotics labs
• Serve as a thought partner to the Helix team across all aspects of AI model development, helping shape what data we collect, how we evaluate it, and how data quality decisions feed into model behavior
• Develop onboarding and ongoing training programs for new and existing labelers
• Review edge cases and ambiguous annotations, driving resolution and guideline updates in collaboration with the ML team
• Partner with engineering to design and develop new internal tooling for annotation, QA, and data review

Requirements:

• 8-10+ years of experience leading operational or data teams in a fast-paced environment, including hiring, performance management, and coaching
• Strong analytical and problem-solving skills, with the ability to diagnose quality issues and implement corrective actions
• Experience managing large-scale data quality or annotation operations
• Excellent written and verbal communication skills, especially when documenting standards and providing feedback using data
• Ability to manage competing priorities and time-sensitive deliverables under pressure
• High attention to detail and a strong quality-first mindset
• Proficiency in Google Workspace (e.g., Sheets) and operational or workflow management tools

Bonus Qualifications:

• Experience working with robotics, autonomy, or sensor-derived data
• 10+ years of experience leading skilled teams operating complex or early-stage technology
• A passion for helping scale the deployment of learning humanoid robots

The US base salary range for this full-time position is between $140,000 – $200,000 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. Our robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA and require 5 days/week in-office collaboration. It’s time to build.

We are looking for an AI Data Operations Lead to join Figure's Operations org and own a meaningful slice of how we produce human data for our humanoid robots. Data is one of the largest and most strategic functions at Figure, and this is a foundational role within it. You will solve zero-to-one problems and coordinate the development of new hardware, software, and operational systems with engineering and product.

Responsibilities:

Day one, you will own a meaningful piece of Figure's data collection operation. You'll be hitting volume, quality, and velocity targets, building the systems that get us there, and partnering across engineering, product, and ops to make it happen. Specific responsibilities include:

• Owning contributor acquisition, activation, and retention strategy and execution
• Identifying and launching in new geographies, managing localization, partnerships, and community building to establish presence in target regions
• Coordinating with engineering, product, and ops to develop the new hardware, software, and operational systems
• Owning your category’s data dashboard — tracking volume, quality, and throughput metrics daily, identifying bottlenecks, and shipping operational fixes fast
• Sourcing, negotiating, and managing relationships with local partners, agencies, and vendors to accelerate growth
• Serving as the connective tissue between your contributors and internal teams — surfacing hardware/software friction, translating field feedback into actionable product improvements, and advocating for your workstreams' needs

Requirements:

• 4+ years in investment banking, management consulting, corporate development, growth, or startup operations roles, ideally with exposure to a frontier technology business
• Comfortable rapidly building and deploying apps/agents using AI coding tools (zero technical academic background necessary)
• Demonstrated ability to own outcomes
• Exceptional written and verbal communication skills
• Experience working across cultures or in international markets
• Highly organized with strong project management instincts — comfortable managing multiple contributors, sessions, or sites simultaneously and keeping all plates spinning
• A commitment to 5 days/week in-office collaboration

Bonus Qualifications:

• Experience scaling consumer mobile applications or marketplace platforms
• Background in AI/ML companies or understanding of data collection for machine learning
• Prior experience in emerging markets or with distributed workforces
• Fluency in additional languages
• Experience managing physical-world operations (events, field crews, hardware logistics) in addition to digital platforms

The US base salary range for this full-time position is between $175,000 - $200,000 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.

IT Systems Administrator

Sumo Logic's Cloud SIEM (Security Information and Event Management) platform provides comprehensive security visibility and analytics for modern cloud and hybrid environments. Leveraging advanced analytics and machine learning, our Cloud SIEM delivers real-time threat detection, incident response, and compliance management. Designed for scalability and efficiency, it seamlessly integrates with a wide range of security tools and data sources, enabling organizations to effectively manage and mitigate security risks while optimizing their security operations. Sumo Logic's Cloud SIEM empowers security teams to stay ahead of evolving threats and maintain robust security postures.

As an IT Systems Administrator, you will actively contribute to, execute for, and lead IT in the design and development of business insights and analytics solutions. You will be instrumental in helping us solve complex data visualization, modeling, curation, and reporting problems among Sumo Logic’s robust inventory of cloud services, data tooling, and business applications. You will work closely with a team of highly skilled individuals to deliver on high impact engagements at Sumo Logic, reporting directly to the Global Head of Infrastructure and Data and engaging projects under the guidance of the Lead IT Systems Engineer.

You are a strong IT operations expert who is passionate about scalable, resilient, secure, and cost-efficient data solutions. You care about delivering on customer requests with a high attention to detail, a sense of natural curiosity, and a focus on building lasting relationships. You are at home when helping the group come up with a better solution than you would as individuals and providing experienced guidance and insight to those around you. You are comfortable in a fast-moving environment with responsibility for global hardware and end user device needs, alongside a host of IT applications. Ideally, you have experience with performance, scalability, and reliability issues of 24x7 uptime systems and solutions.

Responsibilities:

• Deliver exceptional end user support via Helpdesk & Triage services, showcasing a strong dedication to promptly resolving issues and ensuring utmost customer satisfaction.
• Exhibit advanced expertise in overseeing user endpoints, emphasizing a high degree of security and functionality while consistently delivering effective endpoint management solutions.
• Spearhead the seamless integration of IT systems, focusing on optimizing operations and enhancing efficiency. Prove successful in implementing and fine-tuning integrations to meet organizational needs.
• Champion automation initiatives across IT operations to streamline processes and workflows. Show a history of implementing automation solutions that boost operational efficiency and reduce manual workloads.
• Manage the diverse user application portfolio with a keen focus on providing outstanding support and regular updates. Demonstrate expertise in ensuring applications align with user needs and contribute to operational success.
• Lead the provisioning of user accounts, maintaining a commitment to providing secure access to systems and applications. Demonstrate a track record of delivering provisioning services accurately and efficiently.
• Provide basic technical support for AWS Marketplace services, ensuring timely and effective assistance for customers. Exhibit a wealth of experience in supporting AWS products and services, prioritizing customer satisfaction throughout.
• Administer Atlassian environments at the system configuration level, within the IT operations department. Showcase a history of optimizing Atlassian administration and granularly configuring Jira to enhance team productivity and customer satisfaction.
• Collaborate with other IT teams as needed to drive forward joint efforts

Requirements:

• 3+ years of experience in providing End User Services, specializing in helpdesk & triage support, with a strong emphasis on carefully executing Jira tickets and delivering high quality and reusable Confluence documentation
• Proficiency in user endpoint management tools such as JAMF, with a proven track record of successful endpoint management
• Demonstrated expertise in IT system integrations, showcasing the ability to integrate various systems for enhanced performance and efficiency
• Strong familiarity with IT automations, including scripting languages like BASH and Powershell, and a history of implementing automation solutions
• Experience in user application portfolio management, ensuring effective support and updates for user applications
• Knowledge of user provisioning processes, particularly utilizing Okta for secure and efficient provisioning of user access
• Regular responsibility for AV equipment management as setup
• Basic AWS ability to provide technical support for marketplace services, with specific experience in AWS Marketplace technical support a bonus
• Proficiency in Atlassian Administration, including tools like Jira and Confluence, to manage tasks, issues, and documentation effectively

Desirable:

• Experience in cloud services and management
• AWS
• Azure
• GCP
• Experience managing security hardware devices such as cameras and door readers
• Experience working with and managing third party MSP relationships around hardware device management
• Understanding of ITIL processes and practices as well as vendor and contract management

About Us:

Sumo Logic, Inc., empowers the people who power modern, digital business.  Sumo Logic enables customers to deliver reliable and secure cloud-native applications through its SaaS analytics platform. The Sumo Logic Continuous Intelligence Platform™ helps practitioners and developers ensure application reliability, secure, and protect against modern security threats, and gain insights into their cloud infrastructures. Customers worldwide rely on Sumo Logic to get powerful real-time analytics and insights across observability and security solutions for their cloud-native applications. For more information, visit www.sumologic.com.

What you’ll do:

• Perform low/mid/high fidelity aerodynamic simulations of Archer eVTOL aircraft
• Develop linear/non-linear aerodynamic models to predict aircraft behavior and performance throughout the flight envelope
• Analyze experimental data (either from flight test or wind tunnel) to identify sources of model errors, validate, and improve aerodynamic models of the vehicle
• Develop efficient methods to feed flight test data back into aerodynamic simulation models of various fidelity and complexity
• Contribute to the development of Archer aerodynamic software stack, improving methods and workflows
• Coordinate with other cross-functional teams and pilots for flight simulator aerodynamic modeling updates and issue resolution

What you need:

• BS / MS / PhD in Aerospace Engineering or a related field

• 2+ years of experience with BS, or 1+ years of experience with MS, or 1+ years of experience with PhD modeling rotorcraft, tiltrotor, eVTOL aerodynamics at full-vehicle level
• Strong understanding of fundamentals of fixed-wing and rotorcraft aerodynamics, performance, stability & control 
• Experience in eVTOL and/or multicopter vehicle aerodynamics design and analysis, including 6 DoF vehicle trimming and trajectory optimization
• Experience with gradient-based and gradient-free optimization techniques
• Experience with surrogate modeling techniques (like Kriging methods) and statistical analysis
• Experience with experimental data processing and reduction techniques
• Proficiency in Python programming
• Experience with software development, object-oriented, version control best practices, as well as Git, CICD, Conda

• Excellent work planning and issue resolution skills
• Strong technical, written, and verbal communication skills
• Ability to work in groups and individually
• Experience in a fast-paced design environment

Bonus Qualifications:

• Experience with developing, training, and optimizing neural networks or other machine learning models in the context of aerodynamic modeling
• Experience with wind tunnel and flight test campaigns planning, execution, and data processing, ideally matured on rotorcraft, tiltrotor, eVTOL program
• Work experience with rotorcraft comprehensive analysis tools, such as RCAS or CAMRAD2
• Work experience with NASA Overflow and Fun3D CFD software, including meshing
• Experience utilizing high-performance computing (HPC) to parallelize workflows

• Familiarity with conventional airplane Part 23/25 or rotorcraft Part 27/29 certification basis and test methods

• Familiarity with ASTM standards for fixed wing and rotorcraft
• Familiarity with Matlab/Simulink, and Fortran/C++ coding

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $140,000 - $190,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

Astera Labs’ firmware and software are critical differentiators that have helped us win business across all CSPs and hyperscalers. We are seeking a Director of System Validation Engineering to build and scale our system validation organization, ensuring our products meet the performance, reliability, and interoperability demands of next-generation AI and data center systems.

Job Description

• Understand the performance and functionality requirements our ICs must deliver to enable customers developing Data Center systems using Astera Labs’ game-changing portfolio of connectivity products for Artificial Intelligence and Machine Learning applications.
• Own the development of a comprehensive validation plan and drive its execution. Devise test automation of ICs and board products in a data-centric manner, design experiments to root-cause unexpected behavior and report results and specification compliance.
• Engage with key customers directly to understand their care-abouts and highlight the unique capabilities and performance of Astera Labs’ solutions.

Basic Qualifications 

• Strong academic and technical background in electrical or computer engineering. At a minimum, a Bachelor’s is required, and a Master’s is preferred.
• ≥12 years experience supporting or developing complex SoC/silicon products for Server, Storage, and/or Networking applications.
• Professional attitude with the ability to prioritize a dynamic list of multiple tasks, to plan and prepare for customer/internal meetings in advance, and to work with minimal guidance and supervision.
• Entrepreneurial, open-minded behavior and can-do attitude. Think and act with the customer in mind!

Required Experience 

• ≥3 Years experience leading a team in a “lead by example” manner—planning sprints, assigning tasks based on individuals’ strengths and career aspirations, providing constructive/encouraging feedback, maintaining a “dashboard” view of project status, chipping into shore up gaps in execution as needed.
• ≥5 Years hands-on experience with Silicon/System bring-up, validation, and debug experience, including in customer systems.
• Thorough knowledge of high-speed protocols like CXL, PCIe, NVMe, or Ethernet.
• Good understanding of x86/ARM architecture, UEFI/Linux boot sequence. 
• A strong background in developing bench automation techniques, especially using Python, with emphasis on execution efficiency, repeatability, data analysis and reporting.
• Experience with lab equipment including protocol analyzers, in-circuit debuggers, and CPU-based tool suites.

Preferred Experience 

• Working knowledge of C or C++ for embedded FW and device drivers.
• Familiarity with PCIe compliance standards and the ability to follow and be involved in compliance and standard consortiums.
• Knowledge of simulation tools such as Keysight ADS, Mathworks QCD, etc. for IBIS-AMI analysis.
• Working knowledge of SerDes architecture including Tx/Rx equalization, adaptation, clock recovery and SerDes link budgets.
• Experience with PAM4 SerDes is a huge bonus!

Astera Labs is seeking an exceptional Senior Director System Validation to lead our AI Fabric Validation organization. Connectivity is a critical component of every AI accelerator deployment and hyperscale data center architecture. As part of the AI Fabric Engineering group, you will play a key role in ensuring that Astera Labs’ fabric solutions perform at scale and deliver system-level performance across the most demanding AI and ML workloads. This role offers a unique opportunity to shape validation strategy for cutting-edge connectivity silicon and gain deep insight into next-generation AI infrastructure platforms. Your primary responsibility will be to build and lead a world-class validation organization tasked with validating all silicon, firmware, and system-level solutions at scale, ensuring performance, reliability, and production readiness across customer deployments.

Job Description

• Seeking a strong technical leader who has delivered multiple SoC products.
• Lead and scale the system validation organization for Astera Labs' AI fabric portfolio, building a high-performing team across multiple concurrent product programs.
• Understand the performance and functionality requirements of our AI fabric switches to enable customers to develop Data Center systems using Astera Labs' connectivity products for AI and ML applications.
• Own comprehensive validation strategies for AI fabric switch products. Drive execution through scalable automation platforms and data-centric testing with automated reporting and specification compliance verification.
• Collaborate cross-functionally with Architecture, Hardware, Firmware, and Software teams to influence product requirements and ensure validation excellence.
• Ensure timely bring‑up of new silicon and platforms, driving root‑cause analysis and cross‑functional debug of hardware, firmware, and system issues.
• Deliver high‑confidence validation results that support product qualification, customer sampling, and mass production readiness.
• Engage directly with key customers to understand their requirements and highlight the unique capabilities of Astera Labs' solutions.
• The ideal candidate brings deep expertise in silicon/system validation, a strong architectural mindset, and a proven ability to scale organizations in fast‑moving, high‑performance computing environments.
• Work closely with silicon design, architecture, Firmware, software engineering teams to ensure cohesive validation strategies.
• Drive a culture of technical excellence, accountability, and continuous improvement.
• Manage resource planning, and vendor/partner relationships.

Basic Qualifications

• Strong academic background in Electrical or Computer Engineering. Bachelor's required, Master's preferred.
• ≥15 years' experience supporting or developing complex SoC/silicon products for Server, Storage, Networking applications and high‑performance hardware companies.
• ≥5 years hands-on experience with Silicon/System bring-up, validation, and debug, including in customer systems.
• ≥5 years building high performance Engineering teams and validation methodologies.
• Deep understanding of CPU, GPU, SoC, or AI/ML accelerator architectures, including memory subsystems, I/O, power management, and firmware interactions.
• Expertise in validation methodologies: pre‑silicon simulation/emulation, post‑silicon bring‑up, system validation, stress testing, and performance characterization.
• Strong background in debug methodologies, lab infrastructure, and automation frameworks.
• Excellent communication skills and ability to influence executives and cross‑functional partners.
• Entrepreneurial, open-minded behavior and can-do attitude. Think and act with the customer in mind!

Preferred Experience

• ≥8 years leading validation teams planning, execution and maintaining project visibility.
• ≥10 years hands-on experience with Silicon/System bring-up, validation, and debug, including in customer systems.
• Thorough knowledge of high-speed protocols like PCIe, CXL, NVMe, or Ethernet.
• Deep understanding of High-Speed Signaling Principles and x86/ARM architecture, UEFI/Linux boot sequence.

The base salary range is $240,000 USD - $300,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. 

Role

We are looking for a Senior Product Manager, AI / Data Classification to join our Data Protection team. This is a hybrid role based in San Jose, CA (3 days onsite). While local candidates are preferred, we are open to remote candidates based on the West Coast for exceptional applicants. 

We’re looking for a Product Manager to lead data classification capabilities within a Data Security platform. You’ll own the end-to-end product strategy for discovering and classifying sensitive data across cloud, on-prem data stores and SaaS applications, turning classification outcomes into actionable risk reduction for security, privacy, and compliance teams.

What You’ll Do (Role Expectations)

• Partner closely with a focused engineering, data science/ML, design, sales, and customer success to deliver accurate, scalable classification, clear policy outcomes, and measurable customer value
• Own the classification taxonomy, labeling standards, and policy model (custom categories, confidence thresholds, inheritance, overrides, exceptions)
• Drive accuracy improvements by managing precision/recall targets, sampling strategies, tuning workflows, and customer feedback loops
• Set requirements for scanning at enterprise scale (billions of objects, large tables), optimizing cost, latency, and coverage
• Define how the platform combines pattern-based detectors, NLP/ML, and LLM-assisted classification for structured and unstructured data

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 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 customer-obsessed. You build deep empathy for the customer—both internal and external—and anchor your decisions in solving their real-world problems. You champion their needs from start to finish, knowing their success is our success.
• 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.

What We’re Looking for (Minimum Qualifications)

• Product Management experience, with meaningful ownership of data security/privacy products. Product management experience can be substituted with data science experience
• Demonstrated experience shipping products that use AI/ML and/or LLMs in production, with a strong understanding of data classification approaches across structured and unstructured data
• Expertise in evaluation and quality measurement for classification systems and building/maintaining golden datasets
• Ability to design human-in-the-loop workflows for high-stakes labels, covering review/approval, exception handling, and audit trails
• Experience driving cost/performance tradeoffs for AI at scale, including token/compute budgeting, model selection, and managing latency for large corporations

What Will Make You Stand Out (Preferred Qualifications)

• Strong technical collaboration skills with ML engineering and data science
• Familiarity with embedding-based similarity and semantic retrieval for classification and deduping (vector DBs, ANN indexing, chunking strategies)
• Prior work in DSPM/DLP/CASB/insider risk where false negatives have high blast radius and you have designed processes to manage that risk

#LI-KM9 #LI-hybrid

About the Role 

We’re looking for an ML/AI Ops Engineer with 7+ years of experience to own the end-to-end operationalization of our ML/AI solutions, ensuring models move smoothly from development to scalable, reliable production products. In this role, you’ll design and automate CI/CD pipelines, build and optimize model lifecycle workflows, monitor deployed models for performance, drift, and reliability, and integrate intelligence products into various digital tools such as Copilot, Salesforce, and Tableau. You’ll collaborate closely with Data Scientists, Data Engineers, and Data Architects to transform high-quality research models into robust, production-grade products. This is a key role in shaping a modern ML/AI lifecycle—from CI/CD to high governance. 

What You’ll Do 

• Own the end-to-end operationalization of ML and AI solutions—from development to scalable, reliable production systemsthat integrateseamlessly with other digital tools. 
  • Design, automate, and maintain CI/CD pipelines for model training, testing, deployment, and retraining (Azure DevOps, Databricks). 
  • Build, optimize, and version model lifecycle workflows, ensuring reproducibility, lineage, and governance across the ML/AI platform. 
  • Monitor production models for performance, drift, reliability, and resource usage; implement automated retraining workflows. 
  • Optimize compute, storage, and orchestration across the Databricks platform to ensure efficient, cost-effective operations. 
  • Collaborate closely with ML/AI Scientists, Data Engineers, and DWH team to transform research-grade models into production-ready services. 
  • Contribute to advancing our ML/AI platform, tooling, automation standards, and best practices. 

What You’ll Bring 

• Solid experience in operationalizing ML/AI models, including deployment, automation, monitoring, and lifecycle management.
• Strong programming skills in Python,PySpark, and SQL with clean, efficient, production-ready code.
• Experienced in feature engineering with a practical understanding of data engineering fundamentals - designing, validating, and optimizing feature pipelines, and ensuring feature consistency
• Experience in building Vector embeddings & RAG systems.
• Familiarity in ML and LLM models development and libraries used.
• Experience with MLflow (or similar tools) for model tracking, registry management, and lifecycle operations.
• Familiarity with CI/CD pipelines (Azure DevOps preferred)
• Strong grasp of data versioning, model versioning, reproducibility, and data lineage within governed ML/AI environments.
• Experience designing, consuming, or integrating REST APIs to expose ML/AI models as services and support real-time or near-real-time inference.
• Experience monitoring production models, identifying drift or performance issues, and implementing corrective workflows.
• A collaborative, systems-thinking mindset, working closely with ML/AI Scientists, Data Engineers, and Data Warehouse team. 

Bonus Skills 

• Understanding ofdata quality frameworks and how they integrate into ML pipelines.
• Comfort with infrastructure-as-code for provisioning and managing ML/AI platform components. 
• Working knowledge of Unix environments and general DevOps principles; exposure to Docker/Kubernetes is beneficial.
• Experience with real-time or near-real-time serving architectures, event-driven systems, or streaming-based inference.
• Experience with AI agent tools and MCP servers. 
• Strong interest in contributing to internal ML/AI platform evolution, including tooling, automation, standards, and best practices.

What You’ll Get 

• Two weeks of paid vacation, 12 statutory holidays, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Paid parental leave: 8 days for fathers, 122 days for birthing parents, 92 days for adoptive parents
• Medical, dental, and vision coverage fully funded through INS Premium for employees and dependents
• Mental health support, therapy sessions, and virtual care via our Employee Assistance Program
• Retirement and social security contributions through Costa Rica’s statutory programs
• Life insurance equal to 24x monthly salary, plus disability and funeral coverage
• Daily cafeteria subsidy
• Fertility, adoption, and surrogacy support, plus 24 paid volunteer hours through Veeam Cares
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning

#LI-CC1

Make your impact within a rapidly growing Fintech Company

Join BILL's AI Product Engineering team and help shape the future of intelligent financial automation. As a Senior Machine Learning Engineer, you'll play a pivotal role in designing, building, and deploying machine learning solutions that power BILL's next-generation products. This is an opportunity to work in a collaborative, high-impact environment where your expertise will directly influence the company's growth and the experience of millions of users.

Responsibilities:

• Design, develop, and deploy robust machine learning models to solve real-world business challenges in the fintech domain
• Collaborate cross-functionally with product managers, engineers, and data scientists to translate business requirements into scalable ML solutions
• Analyze complex datasets, identify patterns, and extract actionable insights to drive product innovation
• Evaluate, optimize, and monitor model performance in production, ensuring reliability and accuracy over time
• Contribute to the development and improvement of AI workflows, agentic evaluation and best practices within the team
• Document methodologies, experiments, and results to ensure knowledge sharing and reproducibility
• Mentor junior team members and share technical expertise to elevate team capabilities

We’d love to chat if you have:

• Proven experience building and deploying machine learning models in production environments
• Strong programming skills in Python and familiarity with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
• Previous experience with OCR extraction and NLP methodologies
• Knowledge of AI agents and strong experience with LLMs
• Ability to analyze and interpret large, complex datasets using statistical and data analysis techniques
• Excellent communication and collaboration skills, with a track record of working effectively in cross-functional teams
• A problem-solving mindset and a passion for continuous learning and innovation

Visa Sponsorship:  Please note that this position is eligible for visa sponsorship. 

#LI

Make your impact within a rapidly growing Fintech Company

Join BILL's AI Product Engineering team and help shape the future of intelligent financial automation. As a Senior Machine Learning Engineer, you'll play a pivotal role in designing, building, and deploying machine learning solutions that power BILL's next-generation products. This is an opportunity to work in a collaborative, high-impact environment where your expertise will directly influence the company's growth and the experience of millions of users.

Responsibilities:

• Design, develop, and deploy robust machine learning models to solve real-world business challenges in the fintech domain
• Collaborate cross-functionally with product managers, engineers, and data scientists to translate business requirements into scalable ML solutions
• Analyze complex datasets, identify patterns, and extract actionable insights to drive product innovation
• Evaluate, optimize, and monitor model performance in production, ensuring reliability and accuracy over time
• Contribute to the development and improvement of AI workflows, agentic evaluation and best practices within the team
• Document methodologies, experiments, and results to ensure knowledge sharing and reproducibility
• Mentor junior team members and share technical expertise to elevate team capabilities

We’d love to chat if you have:

• Proven experience building and deploying machine learning models in production environments
• Strong programming skills in Python and familiarity with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
• Previous experience with OCR extraction and NLP methodologies
• Knowledge of AI agents and strong experience with LLMs
• Ability to analyze and interpret large, complex datasets using statistical and data analysis techniques
• Excellent communication and collaboration skills, with a track record of working effectively in cross-functional teams
• A problem-solving mindset and a passion for continuous learning and innovation

Visa Sponsorship:  Please note that this position is eligible for visa sponsorship.

#LI

Make your impact within a rapidly growing Fintech Company

Resilient and innovative, the Payments Team functions as the backbone and revenue driver for Bill, playing a mission-critical role in moving over $300B+ annually across various payment methods. Payments team is doubling down on platform perspective and innovation to facilitate scaling needed for 10x growth for Bill, leveraging modernization and Gen AI technologies. If you're looking for a company that values work-life balance, offers career growth, values innovation, and provides endless opportunities to solve new challenges that make a difference in people's everyday lives, then Bill might be a place for you to explore!

We’d love to chat if you have:

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• At least 5 years of experience in software engineering.
• Experience leveraging Gen AI technologies to accelerate software engineering by designing prompts, rigorously evaluating outputs, and integrating LLMs
• Proven experience in leading the design and implementation of new platform services.
• Expertise in building and maintaining large-scale, high-volume, high-availability, low-latency systems.
• Strong understanding of security, compliance, and regulatory requirements.
• Demonstrated experience in the payment industry or supporting platform development.
• Proficiency in version control, code reviews, testing, and deployment automation.
• Ability to mentor and guide other engineers in best practices and advanced technical concepts.
• Experience with machine learning model integration and data pipeline design.

Visa Sponsorship: Please note that this position is not eligible for visa sponsorship. Applicants must have authorization to work in the United States without requiring visa sponsorship now or in the future.

Role Overview

Are you passionate about driving strategic growth through impactful corporate development initiatives in the AI and cloud infrastructure space? Astera Labs is seeking a Manager of Corporate Development to lead and support strategic transactions including acquisitions, investments, and strategic partnerships that will shape the future of AI connectivity.

In this high-visibility role, you will report to the Head of Corporate Development and work closely with cross-functional teams including engineering, product management, and executive leadership to identify and evaluate opportunities that align with Astera Labs' long-term growth strategy. You will be at the forefront of emerging AI infrastructure technologies, developing new business models and driving transactions that accelerate our position as the leader in purpose-built connectivity solutions.

This is a unique opportunity to join a hyper-growth company at the intersection of semiconductors and AI infrastructure, where your work will directly influence strategic decisions and contribute to building the connectivity backbone powering the next generation of data centers.

Key Responsibilities

• Strategic Transaction Leadership

  • Lead and support corporate development transactions through all phases of the transaction lifecycle, from target identification through close
  • Partner with executive and engineering leaders to evaluate opportunities that address strategic gaps and conduct build/buy/partner analysis
  • Lead deal-oriented project management throughout the entire deal lifecycle, ensuring timely execution and stakeholder alignment

• Financial & Strategic Analysis

  • Conduct detailed financial analyses including valuation, pro forma modeling, and investment assessments to evaluate deal alignment
  • Develop executive presentation materials to provide recommendations to the leadership team and board
  • Research adjacent and new market opportunities, including opportunity sizing, target landscaping, and competitive analysis

• Cross-Functional Collaboration & Integration

  • Collaborate with cross-functional teams to drive diligence and validate key assumptions and value drivers
  • Oversee post-merger integration to ensure deals deliver long-term success and structural enhancement for the company
  • Define and continually enhance the company's strategy to acquire new business opportunities and partnerships

• Market Intelligence

  • Develop deep expertise in emerging AI infrastructure technologies, companies, and business models
  • Monitor industry trends and competitive dynamics to inform corporate development strategy

Basic Qualifications

• Bachelor's degree in Business Administration, Electrical Engineering, Computer Science, or related field
• 5+ years of experience in corporate development, investment banking, private equity, venture capital, or related roles
• Experience in the semiconductor, high-tech, or AI infrastructure industry
• Demonstrated experience leading strategic transactions and working with executive leadership
• Strong analytical skills with expertise in valuation, financial modeling, and strategic analysis
• Excellent communication and presentation skills with the ability to convey complex concepts clearly to diverse audiences

Preferred Qualifications

• MBA or advanced degree
• Direct experience with M&A transactions in the semiconductor or data center infrastructure space
• Knowledge of AI/ML infrastructure, PCIe, CXL, or Ethernet technologies
• Proven ability to collaborate effectively across engineering and business functions
• Experience with post-merger integration planning and execution
• Willingness to travel as needed for deals, company training, industry events, and conferences

Salary range is $140,400 to $195,000 depending on experience, level, and business need. This role may be eligible for discretionary bonus, incentives and benefits.

What You’ll Do 

• Design, implement, and evaluate novel machine learning and deep learning algorithms, concentrating on Large Language Models (LLMs), automated speech recognition (transcription), and unified multimodal architectures. 
• Iterate on AI model development, starting from the data needed for training, architecture, input/output representations, evaluation, and deployment for complex sequence-to-sequence and multimodal tasks. 
• Collaborate with other research engineers to prototype and validate complex solutions from academic literature in natural language processing and speech. 
• Conduct experiments to benchmark new techniques and evaluate model behavior. 
• Develop tools and frameworks to support scalable and reproducible research and development. 
• Communicate research findings to leadership in a concise, and convincing manner. 
• Stay current with the latest developments in Generative AI and Speech/Language Models and identify relevant innovations. 
• Assist in transitioning research prototypes into production-ready systems. 

Minimum Education Requirement: Master’s degree in Artificial Intelligence, Computer Science, Computational Sciences, Machine Learning, Informatics.  

Minimum Experience Requirements: AI/ML Engineer, Software Engineer, Research Scientist, AI Research Engineer or related job title in which 3 years of experience with developing and supporting production machine learning systems, including model deployment, monitoring, versioning, and retraining, using modern observability and experimentation tools (e.g., Grafana, Prometheus, Statsig); building ML and deep learning models using Python and PyTorch, including NLP tools (e.g., Huggingface, NLTK, spaCy, transformer-based models); with largescale data pipelines using distributed processing frameworks (e.g., Spark, Databricks); and collaborating with cross-functional teams to translate business requirements into ML solutions PLUS 1 year of experience developing computer vision or multimodal ML systems (e.g., OpenCV, YOLO, vision transformers) were gained.  

Alternate Education Requirement: PhD in Artificial Intelligence, Computer Science, Computational Sciences, Machine Learning, Informatics. 

Alternate Experience Requirements: AI/ML Engineer, Software Engineer, Research Scientist, AI Research Engineer or related job title in which 2 years of experience with developing and supporting production machine learning systems, including model deployment, monitoring, versioning, and retraining, using modern observability and experimentation tools (e.g., Grafana, Prometheus, Statsig); building ML and deep learning models using Python and PyTorch, including NLP tools (e.g., Huggingface, NLTK, spaCy, transformer-based models); with largescale data pipelines using distributed processing frameworks (e.g., Spark, Databricks); and collaborating with cross-functional teams to translate business requirements into ML solutions PLUS 1 year of experience developing computer vision or multimodal ML systems (e.g., OpenCV, YOLO, vision transformers) were gained.

Please apply online at: https://www.archer.com/careers. Must put job code SJ2026YM on resume/CV and cover letter. 

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. For this position we are offering $240,000 to $252,000 per year.

#LI-DNF

As an Astera Labs Technical Lead Lab Validation Engineer, you will take a hands-on role to find the root cause of any customer quality concerns and develop corrective actions.  You will:

• Directly root-cause failures to the circuit, package, firmware, or protocol-level interactions.  Collaborate with design, validation, and system engineering teams as needed.
• Modify device firmware to test out engineering theories leading to potential fixes or production screens.
• Investigate failures such as link training issues, lane margining failures, eye closure, jitter sensitivity, protocol errors, and interoperability problems.
• Debug retimer specific failures, including pass-through path issues, clock forwarding problems, equalization settings, and link bring-up reliability.
• Analyze high speed link failures, including lane mapping, bifurcation errors, hot-plug issues, compliance test failures, and error propagation across multiple ports.
• Use advanced lab instrumentation (BERT, high-bandwidth oscilloscopes, protocol analyzers, VNAs, TDR, spectrum analyzers) to characterize and isolate failures.
• Develop and run stress tests and margining experiments to identify weak design or process corners.
• Provide feedback on system-level integration challenges for retimers and PCIe switches (e.g., board layout, equalization tuning, firmware interactions).
• Drive physical failure analysis to isolate and image defects using methods such as fault isolation, probing, de-processing, FIB, thermal/voltage stress testing.
• Document debug findings, propose design/process/test improvements, and contribute to FA methodologies.
• Participate in new product development process to ensure readiness for customer returns before products are launched. Collaborating in the development of evaluation hardware (boards and sockets, including FA friendly sockets) and scripts.

Basic qualifications:

• Minimum of a Bachelor’s in Electrical Engineering while a Master’s degree is preferred. 
• Minimum of 10 years relevant experience of which 5 years’ is hands-on mixed high-speed lab experience working with equipment such as protocol analyzers, BERT, real-time scopes, sampling scopes, TDR, and VNA.
• Python programming.
• Deep understanding of PCIe protocol (up through Gen6), retimer architecture, and SerDes signal integrity.
• Hands-on experience debugging retimers (equalization tuning, pass-through mode, clocking, reset/link sequencing).
• Hands-on experience debugging PCIe switches (lane bifurcation, hot-plug, multi-port link stability, compliance failures).
• Strong background in NRZ/PAM4 architectures, investigating issues with jitter, CDR/PLL behavior, equalization (DFE, CTLE, FFE), crosstalk, and power integrity.
• Experience in post-silicon validation and bring-up of high-speed PHYs or retimers.
• Solid problem-solving and analytical skills with ability to narrow down complex multi-layer failures.
• Strong written and verbal communication skills.

Preferred experience (ideal candidate has some of this, but OJT is also possible):

• C (not C++).
• Experience with optics.
• Experience with chip-level security and RAS features.
• ATE (Automated Test Equipment) Advantest V93K.
• Understanding of system-level architecture for servers, storage, and AI/ML platforms where PCIe retimers/switches are deployed.

Based in San Jose, this position requires an in-person presence, offering a unique opportunity to impact our global operations directly.

The base salary range is $160,000 USD - $195,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

At Astera Labs, we seek motivated Principal Signal and Power Integrity Engineers to work on our game-changing portfolio of connectivity products for Artificial Intelligence and Machine Learning applications. In this role, you will execute the SI planning, design, modeling, simulation, and lab validation with various system configurations. This position will be onsite.

Basic Qualifications

• Strong academic/technical background in electrical engineering; Bachelor’s is required; Master’s preferred.
• 8+ years of experience supporting or developing complex SoC/silicon products for Server and Networking applications.
• 8+ years of hands-on high-speed SI/PI design, simulation, and measurement experience.
• Have a proven track record with defining hardware system constraints and high-speed technology roadmaps.
• Cross-functional design mentality with the electrical design community to develop systems.
• Self-starting, professional, and hands-on work ethic that can execute intense research in a dynamic environment.
• Proven track record solving problems independently, preferably as a tech lead.
• Entrepreneurial, open-minded behavior, and can-do attitude.
• Authorized to work in the US and start immediately.

Required Experience

• Familiar with SI and PI design challenges for PCIe Gen5/6 and/or 224/448G Ethernet PCB and interconnects
• 2D and 3D EM simulation experience with Cadence/Ansys/ADS/etc. toolsets
• EM modeling of BGA and connector structures
• High-speed SERDES channel simulation, and equalization
• PI simulations with Ansys/Cadence toolsets
• Familiar with VNA, TDR, real-time and sub-sampling oscilloscopes, etc.
• Working knowledge of PCB fabrication limits and trade-offs
• Familiar with industry-standard such as PCI-SIG, and IEEE802.3, especially Electrical sections.
• Strong debugging, analysis, and problem-solving skills with experience leading root cause and correction action teams. An inherent sense of urgency and accountability. Must have the ability to multi-task in a fast-paced environment.

Your base salary will be determined based on your experience and the pay of employees in similar positions. The base salary range is $203,000 USD - $230,000 USD for Principal level, and $237,500 USD - $250,000 USD for Senior Principal level. The actual level is to be determined by the years of experience and interview outcome.

Overview: 

The mission of this role is to develop and execute electrical validation tests that quantify parametric device performance and operating margins across all system conditions. The validation team upholds customer requirements to the highest standard and serves as the final authority in certifying a product’s parametric compliance.

Astera Labs is seeking motivated Principal / Senior Principal Post-Silicon Validation Engineers to support our game-changing portfolio of connectivity products for Artificial Intelligence and Machine Learning applications. In this role, you will define comprehensive post-silicon validation plans, automate IC- and board-level testing, and design experiments to identify and root-cause unexpected behavior. You will analyze and report validation results against specifications, collaborate closely with key internal stakeholders, quantify performance margins, and ensure robust, production-ready designs.

Basic Qualifications:

•  Strong academic and technical background in Electrical or Computer Engineering. At minimum, a Bachelor’s is required, and a Master’s is preferred.
•  ≥10 years experience supporting or developing complex SoC/silicon products for Server, Storage, and/or Networking applications.
•  Professional attitude with the ability to prioritize a dynamic list of multiple tasks, to plan and prepare for internal meetings in advance, and to work with minimal guidance and supervision.
• Entrepreneurial, open-minded behavior and can-do attitude. Think and act with the customer in mind!
• Proven track record solving problems independently, preferably as a tech lead
• Required experience
• Experience working on debug and bring-up of complicated SoC’s with high-speed interfaces such as PCIe/802.3 Ethernet
• Strong problem-solving skills, ability to solve problems independently
• Basic knowledge of key, high-speed design blocks such as PLL’s, CTLE, DFE, Tx EQ, PAM4 signaling
• Strong python scripting and coding ability: knowledge of object-oriented programming and basic dev ops using git for source control and collaboration
• Proficiency using high-speed lab equipment such as BERT, Oscilloscope, and VNA

Preferred Experience:

•  Experience in system testing, characterization, margin analysis and optimization of high-speed, multi-gigabit data links over long and short channels
•  Familiarity with PCIe or Ethernet especially Electrical Compliance sections
•  Hands-on experience with signal integrity, especially as it relates to PCIe/Ethernet testing and CEM/NVMe interfaces
•  Working knowledge of C or C++ for embedded FW
•  Familiarity with IEEE 802.3x Ethernet standards and both NRZ and PAM-4 signaling
•  Working knowledge of common serial data specifications such as I2C, SPI, etc
•  Knowledge of schematic capture and PCB layout tools from Cadence, Altium, etc.
•  Knowledge of simulation tools such as MATLAB, Keysight ADS, or PLTS for data analysis and modeling of electrical channel and signal integrity issues

The base salary range is USD 203,00 - USD 250,000. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

Overview

The mission of this role is to develop and execute electrical validation tests to quantify parametric device performance and margins over all system conditions. The validation team holds customers’ requirements in the highest regard and is solely responsible for certifying a product’s parametric conformance to this high bar. At Astera Labs, we are looking for motivated Principal Silicon Validation Engineers to work on our game-changing portfolio of connectivity products for Artificial Intelligence and Machine Learning applications. In this role you will formulate a comprehensive post-Silicon validation plan, automate the testing of ICs and board products, design experiments to root-cause unexpected behavior, report results and specification compliance, and work with key internal customers to quantify margins and ensure robustness.

Basic Qualifications:

• Strong academic and technical background in Electrical or Computer Engineering. At minimum, a Bachelor’s is required, and a Master’s is preferred.
• 10 + years' experience supporting or developing complex SoC/silicon products for Server, Storage, and/or Networking applications.
• Professional attitude with the ability to prioritize a dynamic list of multiple tasks, to plan and prepare for internal meetings in advance, and to work with minimal guidance and supervision.
• Entrepreneurial, open-minded behavior and can-do attitude. Think and act with the customer in mind!
• Proven track record solving problems independently, executing validation plans for complex SoC designs. 

Required Experience:

• Experience leading SoC Debug and development for high-speed interfaces such as PCIe5, PCIe6 or PAM4 802.3 Ethernet.
• Familiarity with Electrical Compliance section of PCIe Base Spec and CEM Spec
• Working knowledge of key, high-speed design blocks such as PLL’s, DFE, Tx EQ, CDR, etc and concepts such as PAM4
• Experience in PRBS testing and optimization of high-speed PCIe data links over short, med, and long channels
• Strong python scripting ability: knowledge of object-oriented programming and basic dev ops using git for source control and collaboration
• Deep background in developing bench automation techniques, preferably using Python, with emphasis on execution efficiency, repeatability, and data analysis.
• Proficiency using high-speed lab equipment such as BERT, Oscilloscope, and VNA

Preferred Experience:

• Familiarity with PCIe/CXL compliance standards and ability to drive electrical compliance testing at industry workshops
• Hands-on experience with signal integrity, especially as it relates to PCIe testing, Channel Loss budgeting, and de-embedding
• Working knowledge of C or C++ for embedded FW, experience using git-based version control such as github
• Familiarity with PCIe standards and both NRZ and PAM-4 signaling
• Working knowledge of common serial data specifications such as I2C, SPI, etc
• Knowledge of simulation tools such as MATLAB, Keysight ADS, or PLTS for data analysis and modeling of electrical channel and signal integrity issues

The base salary range is $185,000 USD - $230,000 USD. Your base salary will be determined based on your experience and the pay of employees in similar positions. 

Job Description

• Develop and perform system validation tests using leading-edge Data Center equipment and scalable automation platforms. The validation team holds customers’ system requirements in the highest regard and is solely responsible for certifying a product’s conformance to this high bar.
• Understand the performance and functionality requirements our ICs must deliver to enable customers developing Data Center systems using Astera Labs’ game-changing portfolio of connectivity products for Artificial Intelligence and Machine Learning applications.
• Formulate a comprehensive validation plan, automate the testing of ICs and board products in a data-centric manner, design experiments to root-cause unexpected behavior, report results and specification compliance in an automated fashion
• Work with key customers directly to understand their care-abouts and highlight the unique capabilities and performance of Astera Labs’ solutions.

Education and Experience Requirements

• Strong academic and technical background in electrical or computer engineering. At minimum, a Bachelor’s is required, and a Master’s is preferred.
• 8-12 years of experience supporting or developing complex SoC/silicon products for Server, Storage, and/or Networking applications.

Desired Qualifications

• Strong knowledge in scripting for automation of validation efforts (e.g. Python, Matlab)
• Experience with silicon bring-up, debugging complex electrical and system performance issues, production ramp.
• Very knowledgeable about common high-speed SerDes protocols like Ethernet, PCIe etc., and the electrical, system level specifications defined in the standard documents (IEEE802.3, PCIe Base Specification etc.)
• Very knowledgeable about SerDes architecture including Tx/Rx equalization, adaptation, CDR, block level requirements and SerDes link jitter budget.
• Experience working with lab equipment such as protocol analyzers, BERT, real-time scopes, sampling scopes and VNA
• Experience with PAM4 SerDes validation (200G/100G/50G)
• Knowledge of schematic capture and PCB layout tools from Cadence, Altium, etc.
• Knowledge of Signal Integrity simulation tools
• Professional attitude with the ability to prioritize a dynamic list of multiple tasks, to plan and prepare for customer/internal meetings in advance, and to work with minimal guidance and supervision.
• Entrepreneurial, open-mind behavior and can-do attitude. Think and act with the customer in mind!

Job Description

• Develop and perform system validation tests using leading-edge Data Center equipment and scalable automation platforms. The validation team holds customers’ system requirements in the highest regard and is solely responsible for certifying a product’s conformance to this high bar.
• Understand the performance and functionality requirements our ICs must deliver to enable customers developing Data Center systems using Astera Labs’ game-changing portfolio of connectivity products for Artificial Intelligence and Machine Learning applications.
• Formulate a comprehensive validation plan, automate the testing of ICs and board products in a data-centric manner, design experiments to root-cause unexpected behavior, report results and specification compliance in an automated fashion.
• Work with key customers directly to understand their care-abouts and highlight the unique capabilities and performance of Astera Labs’ solutions.

Basic qualifications 

• Strong academic and technical background in Electrical or Computer Engineering. At a minimum, a Bachelor’s is required, and a Master’s is preferred.
• ≥12 years' experience supporting or developing complex SoC/silicon products for Server, Storage, and/or Networking applications.
• Basic understanding of x86/ARM architecture, UEFI/Linux boot sequence. 
• Professional attitude with the ability to prioritize a dynamic list of multiple tasks, to plan and prepare for customer/internal meetings in advance, and to work with minimal guidance and supervision.
• Entrepreneurial, open-mind behavior and can-do attitude. Think and act with the customer in mind!

Required experience 

• Hands-on, thorough knowledge of high-speed protocols like CXL, PCIe, NVMe, or Ethernet.
• Experience with Silicon/System bring-up, validation, and debug experience, including in customer systems.
• A strong background in developing bench automation techniques, especially using Python, with emphasis on execution efficiency, repeatability, data analysis and reporting.
• Experience with lab equipment including protocol analyzers, in-circuit debuggers, and CPU-based tool suites.

Preferred experience 

• Working knowledge of C or C++ for embedded FW and device drivers.
• Working knowledge of SerDes architecture including Tx/Rx equalization, adaptation, CDR, block level requirements and SerDes link jitter budget. Experience with PAM4 SerDes is a huge bonus!
• Familiarity with PCIe compliance standards and ability to follow and be involved in compliance consortiums to adapt the tests to be run from X86/ARM based platforms.
• Knowledge of schematic capture and PCB layout tools from Cadence Allegro, Altium, etc.
• Knowledge of simulation tools such as Keysight ADS, Mathworks QCD, etc. for IBIS-AMI analysis.

The base salary range is $205,000.00 USD – $255,000.00 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.