System Hardware Engineer Jobs

About the Team Our Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives. About the Role We are seeking a Lead Robotics Safety Engineer to define and lead the product safety strategy for our robotics program. You will work closely with leadership, engineering, research, legal, and policy teams to ensure safety is integrated into our products from the earliest stages of development through deployment. This role combines product safety, regulatory strategy, systems engineering, and risk management. You will help shape how we think about safety across robotic platforms, influence product architecture and development decisions, and ensure our systems are designed to meet both current and emerging regulatory expectations. You will serve as a subject matter expert on robotics safety standards, regulatory frameworks, and safety engineering practices while helping establish the long-term safety strategy for our products and organization. This role is based in San Francisco, CA. This role will be expected to be in office 4 days per week and offer relocation assistance to new employees. In this role, you will Define and lead the product safety strategy for robotic systems across the development lifecycle. Monitor and influence emerging regulatory frameworks, industry standards, and policy developments relevant to robotics and autonomous systems. Partner with engineering teams to translate safety requirements into product architecture, design decisions, and engineering requirements. Develop and maintain system-level hazard analyses, risk assessments, and safety cases for robotic products. Establish safety requirements, verification strat

About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary We are looking for an experienced System Level Test Engineer to join our Product Test and Diagnosis Department (PTD). In this role, you will contribute to the development and deployment of System Level Test (SLT) solutions for next-generation AI processors. Working closely with hardware, software, validation, and manufacturing teams, you will develop test content, automation, diagnostics, and characterization capabilities that support silicon bring-up, yield learning, and manufacturing deployment. The ideal candidate will have strong technical foundations in semiconductor test and validation, excellent debug skills, and a passion for improving product quality and manufacturability. The Team The Product Test and Diagnostics team’s role is to detect and manage hardware defects that arise from the manufacture and use of our products. This covers chips, boards and finished systems and takes place both in the manufacturing sites and in the field. Responsibilities and Duties Develop and maintain SLT test content, automation, d

Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block. The Role Block’s Detection and Response Team (DART) investigates and responds to threats across our products and systems. Within DART, the Computer Security Incident Response Team (CSIRT) leads complex investigations and coordinates the response to security incidents across the company. You’ll establish what happened, determine the scope and impact, guide containment and recovery, and keep responders and stakeholders aligned. You’ll be a trusted resource for your peers, contributing technical judgment and direction to complex investigations and helping the team make sound decisions. You’ll partner closely with engineers, other security teams, Legal, Privacy, and business leaders. Between incidents, you’ll innovate by building the tools, workflows, and procedures that make our response stronger. You Will Command complex, high-impact security incidents from initial assessment through containment, recovery, and closure. Investigate threats across endpoint, identity, cloud, SaaS, network, and application systems and drive containment and remediation with system owners, weighing urgency, evidence preservation, and business impact. Reconstruct timelines, preserve evidence, and determine the scope and impact of incidents. Coordinate containment and remediation with system owners while balancing urgency and business impact. Keep incident priorit

Hyliion is committed to creating innovative solutions that enable clean, flexible and affordable electricity production. The Company’s primary focus is to develop distributed power generators that can operate on various fuel sources to future-proof against an ever-changing energy economy. Job Purpose The Advanced Engineer, Combustion Aerodynamics is a hands-on technical contributor to the research, testing, and development program for the KARNO generator's reactor and oxidation system. This position executes combustion aerodynamics test campaigns, analyzes experimental and simulation data, and supports development and validation of combustion hardware. The position works closely with mechanical, thermal, and performance engineering to translate combustion test data into system design decisions and supports emissions testing in connection with regulatory certification requirements. AI at Hyliion At Hyliion, AI is core to how we work. We equip every team member with leading AI tools and count on you to use them — to move faster, solve harder problems, and help us realize the full potential of KARNO technology for the world. Duties and Responsibilities Execute combustion aerodynamics test campaigns, including instrumentation setup, experiment execution, data collection, and documentation of results. Support development and validation of the reactor and oxidation system, including fuel/air mixing characterization, emissions measurement, and heat release analysis. Operate and maintain laboratory facilities used for combustion aerodynamics system development, and support expansion of lab capability as the program grows. Apply 1D reactor network models (CANTERA or CHEMKIN) to finite-rate chemistry analysis and correlate simulation predictions with experimental results. Use CFD tools (ANSYS Fluent or CFX) to support aerodynamic and thermal analysis of combustion and oxidizer geometry. Support emissions testing and data reporting

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Reinforcement learning is how Claude learns to reason, write code, and act autonomously over long horizons. At frontier scale, an RL run is an unusually demanding distributed system. Training, sampling, and environment execution run concurrently across a large fleet of accelerators and hosts, exchange data continuously, and have to keep making progress while hardware fails, load shifts, and the research changes underneath them. How well that system holds together determines how much of our compute turns into learning, and how quickly the team can try the next idea. As a Research Engineer on the Distributed Systems team within RL Engineering, you'll work on whatever part of that system is the current limit. That might be scheduling and placement, data movement between components, running large numbers of sandboxed environments, storage and checkpointing, networking, fault tolerance, autoscaling, or the observability that tells us what a run is actually doing. We're looking for generalists: engineers who can move between these layers, reason from first principles about a system they haven't seen before, and pick the problem that matters most rather than the one closest to their prior experience. Our system changes as fast as the research does, correctness under failure matters as much as throughput, and the best solutions often come from understanding the ML workload well enough to know which guarantees it actually needs. Strong candidates have built and run large distributed systems, care about getting the details right, and want to apply that experience to a workload that is very large, very heterogeneous, and changing

Job Title Product Support Engineer (Open) Job Description As a Product Support Engineer, you will be responsible for providing advanced technical support for Philips healthcare solutions and medical informatics platforms. The role focuses on diagnosing and resolving complex technical issues, supporting customer escalations, and contributing to continuous improvements in product support processes to enhance customer satisfaction and operational performance. Your role: Provide advanced technical support for healthcare products and solutions, diagnosing and troubleshooting software, hardware, network, and system-related issues. Act as a subject matter expert for internal teams, field engineers, and customers, supporting complex technical investigations and escalations. Collaborate with global teams, including R&D, Product Management, Service, and Field Service organizations to drive issue resolution and product improvements. Advocate for customer needs throughout the product lifecycle while promoting service excellence and customer satisfaction. Lead technical troubleshooting efforts and provide Level 3 escalation support for critical customer issues. Support service process improvements, reliability initiatives, technical communications, and knowledge-sharing activities. Participate in the development of training materials and technical documentation for internal and external stakeholders. Drive continuous improvement initiatives focused on product performance, supportability, and customer experience. You're the right fit if: You have experience in Healthcare IT, Biomedical Engineering, Medical Informatics, Clinical Informatics, Technical Product Support, or related fields. You have experience diagnosing and troubleshooting complex hardware, software, networking, or system integration issues. Yo

About Graphcore Graphcore is a global leader in artificial intelligence computing systems. We design advanced semiconductors and data center hardware that deliver the specialized processing power needed to advance AI while improving the efficiency required for broad adoption. As part of SoftBank Group, Graphcore belongs to a family of companies developing some of the world’s most transformative technologies. Our new AI Engineering Campus in Austin will play a central role in building the future of AI computing. The Opportunity We are seeking a system validation engineering intern to help drive server blade and rack validation efforts for next-generation AI infrastructure hardware systems. This role focuses on post-silicon system validation across the full lifecycle of server hardware systems, ensuring functional and performance meets product objectives. You will help drive end-to-end blade and rack validation including development, execution, and debug while collaborating across silicon, firmware, systems, and platform teams. The Blade and Rack Validation team is responsible for ensuring system readiness and quality at scale. The team works cross-functionally with firmware, silicon, and system engineering teams to validate complex AI compute platforms. Type: 12-week summer internship Timing: May - August (exact dates to be confirmed) Commitment: Full-time What You’ll Do Help drive and execute post-silicon validation goals of AI compute blades and racks including testcase planning, development, and automation Help drive validation testcase execution and system debug against program achievements and report validation progress and risks. Drive provisioning and integration of system components (SoC FW, BMC, RMC, OS) for rack-level readiness Triage test failures, collect debug data, and collaborate on root cause analysis. Track validation coverage and continuously improve test processes and infrastructure. What You’ll Bring Working towards a Bachelor's

About Graphcore Graphcore is a global leader in artificial intelligence computing systems. We design advanced semiconductors and data center hardware that provide the specialized processing power needed to advance AI while improving the efficiency required for broad adoption. As part of SoftBank Group, Graphcore belongs to a family of companies developing transformative technologies. Our AI Engineering Campus in Austin plays an important role in building the hardware platforms that support the next generation of AI systems. The Opportunity As a Systems Engineering Intern, you will contribute to projects that combine hardware, firmware, and software engineering for advanced AI compute platforms. You will work with experienced engineers on subsystem design, laboratory testing, system validation, automation, and performance analysis. The internship provides hands-on experience with modern hardware development and system-level engineering. You will own clearly defined technical tasks with guidance from the team and document your methods, results, and conclusions. What You Will Do Support the design and testing of CPU and high-speed input and output subsystems for advanced compute platforms. Run laboratory tests and measurements to help evaluate performance, power, signal behavior, and reliability. Contribute to system-level validation by creating scripts and tools that streamline testing, data collection, and analysis. Explore emerging input and output technologies, including PCIe 6.0 and 800G Ethernet, and learn how they support advanced computing workloads. Assist with investigations into platform power, cooling, and energy efficiency, including liquid-cooling systems for high-performance processors. Use power meters, oscilloscopes, logic analyzers, or comparable lab equipment under appropriate supervision. Analyze test results, identify unexpected behavior, and work with engineers to reproduce and investigate issues. Collaborate across hardware, firmware, software, m

About the Team DoorDash Labs is an independent team within DoorDash. We explore robotics and automation to transform last mile logistics in the long term. If you have a passion for applying robotics solutions in a service used by millions of people, then we want to talk to you! About the Role We are hiring an Autonomy Platform Engineer to build and evolve the foundational software that runs our autonomy stack across robot and compute platforms. The Autonomy Platform team works across embedded Linux, compute and sensor enablement, robotics middleware, process orchestration, data capture and replay, system observability, and performance. You will develop production software and tooling that enables autonomy engineers to bring up new hardware, deploy services reliably, diagnose failures, and validate system performance across robot generations. You will work closely with autonomy, firmware, electrical, hardware, manufacturing, and validation engineers and report to the Autonomy Platform Lead. We expect this role to be hybrid with some time in-office and some time remote. You’re excited about this opportunity because you will… Build and maintain core runtime, middleware, and platform services used by autonomy applications. Enable new compute, camera, lidar, and other sensor platforms. Improve process orchestration, messaging, configuration, startup and shutdown behavior, resource isolation, and fault recovery. Develop system observability, tracing, performance measurement, diagnostics, and regression-detection capabilities. Build reliable data capture, replay, and debugging workflows. Create provisioning, packaging, deployment, integration-test, and platform-readiness tooling. Lead complex debugging across application, middleware, OS, driver, networking, timing, and hardware boundaries. We’re excited about you because… Strong production C++ and Python experience. Experience with embedded Linux, robotics, autonomous vehicles, or complex mechatronic systems. Solid u

NVIDIA is seeking a Senior System Architect: Heterogeneous EDA Systems to solve a complex challenge in accelerated computing: Failure Attribution at Scale. As EDA or equivalent experience workloads scale across thousands of heterogeneous nodes, a single failure can cause massive resource waste. We need an engineer to develop and build an automated framework. This framework will ingest telemetry from CPU and GPU clusters to identify the root cause of job failures in real-time. It will distinguish between hardware faults, infrastructure instability, and software defects. What you'll be doing: Architect Failure Attribution Frameworks: Build a scalable "flight recorder" for EDA jobs that captures high-fidelity state across the CPU, GPU, and Fabric at the moment of failure. Build automated diagnostics that correlate GPU XID errors, PCIe bus failures, and CUDA memory exceptions. Connect these errors with system-level events such as OOM kills or NUMA-related hangs. Distributed Logging & Tracing: Implement low-overhead tracing mechanisms (using tracing tools or custom agents) that provide access to job execution across multi-node Slurm or Kubernetes clusters. Root Cause Automation: Develop heuristics and models based on machine learning to classify failures as "Hardware Fault," "Software Bug," or "Environment Issue." This reduces the Mean Time to Identify (MTTI) for R&D teams. Resiliency Engineering: Work closely with hardware and infrastructure teams to define "signals of impending failure," enabling proactive job migration or check-pointing before a crash occurs. What we need to see: Distributed Systems Mastery: BS, MS, or PhD in Computer Science or Electrical Engineering (or equivalent experience) with 6+ years in systems programming. Experience building automated

About us Graphcore is one of the world's leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world's most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore's teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute. Job Summary Reporting to the Head of Data & Transformation, the Staff Data Engineer – Agentic Applications is a senior individual contributor responsible for designing, building and operating Python-based web applications, agentic workflows and supporting data services for Graphcore’s business teams. The role combines strong data engineering foundations with hands-on application development, using AI agents, trusted data and business system integrations to improve decision-making and automate operational workflows. Depending on the use case, you will either deliver applications end to end, using AI-assisted coding tools to build and maintain the front end, or own the backend and enable business colleagues to create and look after their own front ends. In both approaches, you will help establish clear ownership, secure interfaces and appropriate engineering controls so applications remain reliable, maintainable and supportable. Working closely with engineers, analysts and business stakeholders, you will take solutions from initial requir

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Join our forward-thinking engineering group at Micron, where you will have a key role in changing how the world accesses information. As a Staff Engineer for SSD Validation, you will coordinate the validation, system integration, and joint qualification of our elite Enterprise and Datacenter NVMe SSD products. This is your chance to contribute in a cooperative and welcoming setting while promoting technical excellence and innovation! Position Overview The Staff Engineer for SSD Validation directs the technical activities in validation, system integration, and collaborative qualification of Enterprise and Datacenter NVMe SSD products. This position oversees the validation strategy and actively engages in firmware, hardware, and system testing. It holds primary responsibility for assisting new customers through joint qualification (JQ). The Staff Engineer serves as a specialist in NVMe/PCIe, encourages automation and early quality improvements, and mentors other engineers. They also guarantee that products are prepared for production on both internal and customer platforms. Working with Firmware, Hardware, Product Engineering, Manufacturing, and Customer Engineering teams, this role fosters internal coordination and uniform qualification outcomes. Responsibilities Lead system-level validation and qualification, performing end-to-end testing across SSDs, firmware, drivers, OS, networking, and platform configurations. Direct validation test plans from development through completion, includi

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Serve as the core technical individual contributor in design and validation of the on-chip controller and mixed signal circuitry in NAND Flash chips. Responsible for architecture development and product definition, system integration and full-chip and block-level validation planning and execution. Contribute to RTL design and implementation of the controller hardware, synthesis, APR and full timing closure as well as development of firmware code for NAND internal operations. Work closely with design teams both domestically and overseas on different projects. Employer will accept a Master’s degree in Electrical Engineering or related field. Position requires: 1. Verilog language; 2. Digital ASIC design methodology; 3. Mixed-mode design and validation; 4. Design or Verification CAD tools, including NCSim; 5. Design Compiler, Formality, or PrimeTime; 6. TCL, PERL, C, C++, or Python; and 7. Non-volatile memory design (NAND). The US base salary range that Micron Technology, Inc. estimates it could pay for this full-time position is $173,607.10 - $ 246,000.00 . For additional pay & benefits information, please refer to the requisition at Micron.com/careers. As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide

About Mach Industries Founded in 2023, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 350 employees, we operate with startup agility and ambition. Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security. The Role Mach Industries is looking for highly motivated engineers to lead firmware validation of all individual vehicle components as well as system level validation. This role requires strong electrical engineering fundamentals, deep technical understanding of avionics hardware components and experience in design and execution of validation plans from new product design phase to manufacturing. Key Responsibilities Close collaboration with Firmware Engineers, Avionics Engineers, Manufacturing and Flight Operations to enable high quality firmware releases used in flight test operations and deployed to our customer products. Design and execution of system level (airframe) and individual component comprehensive test specifications (nominal and fault-injection scenarios). Develop software in Software-in-the-Loop (SITL) and Hardware-in-the-Loop (HITL) simulation tests scenarios supporting the test specifications. Execute SITL and HITL tests and investigate issues identified in the test runs. Reproduction and investigation of issues found during test flight operations. Constantly improve the available tooling and bring up new tools that will improve the validation iteration times and will scale to all current and future airframe variants. Required Qualificati

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Build the platforms, processes, and engineering capabilities that enable reliable, data-driven manufacturing and systems testing across the entire product lifecycle. In this key leadership position, you will drive operational excellence across PCBA- and system-level test environments for Everpure products. You will lead a high-performing team and partner directly with Design Engineering, Manufacturing Operations, Quality, and Contract Manufacturers to elevate test coverage, accelerate software delivery, and safeguard product quality. WHAT YOU'LL DO Strategic Roadmap & Execution: Define and execute the systems test enablement strategy, technology roadmap, and operating model to directly align engineering capabilities with core business growth and product priorities. Team Leadership & Enablement: Lead, mentor, and grow a high-performing engineering team focused on building robust test frameworks, validation automation, test infrastructure, and operational data services. Platform & Infrastructure Evolution: Own the end-to-end evolution of scalable manufacturing test platforms, optimizing framework capabilities, testbook development, equipment configuration, and factory integration to increase production throughput. Software Quality & Continuous Delivery: Drive software delivery speed and reliability by establishing robust development workflows, CI/CD validation, release governance, and continuo