Hardware Systems Engineer Jobs

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: Pioneering the next generation of AI requires breakthrough innovations in GPU performance and systems engineering. As a GPU Performance Engineer, you'll architect and implement the foundational systems that power Claude and push the frontiers of what's possible with large language models. You'll be responsible for maximizing GPU utilization and performance at unprecedented scale, developing cutting-edge optimizations that directly enable new model capabilities and dramatically improve inference efficiency. Working at the intersection of hardware and software, you'll implement state-of-the-art techniques from custom kernel development to distributed system architectures. Your work will span the entire stack—from low-level tensor core optimizations to orchestrating thousands of GPUs in perfect synchronization. Strong candidates will have a track record of delivering transformative GPU performance improvements in production ML systems and will be excited to shape the future of AI infrastructure alongside world-class researchers and engineers. You might be a good fit if you: Have deep experience with GPU programming and optimization at scale Are impact-driven, passionate about delivering measurable performance breakthroughs Can navigate complex systems from hardware interfaces to high-level ML frameworks Enjoy collaborative problem-solving and pair programming Want to work on state-of-the-art language models with real-world impact Care about the societal impacts of your work Thrive in ambiguous environments where you define the path forward Strong candidates may also have experience with: GPU Kernel Development: CUD

Zoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities and deploy such a robotaxi solution safely and reliably. The System Design and Mission Assurance (SDMA) team plays a foundational role in the company's success, responsible for constructing the safety case and fail-operational design for our autonomous driving robots before public road deployment. We are seeking a System Safety Engineer to perform safety analyses of complex hardware and software systems, specifically Sensing and Perception Systems. You will work across hardware and software domains to develop comprehensive system safety requirements and metrics that ensure safe, fail operational and reliable sensing capabilities for our autonomous vehicle platform. In this role, you will: Define safety requirements for sensing (e.g. camera, lidar, radar) and perception (sensor fusion, ML models) subsystems Lead cross-functional technical projects across Software, Hardware, Operations, Data Science, V&V teams to ensure we have the appropriate data and solutions to support our safety arguments Collaborate with perception, hardware, software, firmware and other systems engineering teams to design safety mechanisms by leveraging ISO 26262 (e.g HARAs, Functional Safety Concepts, etc.) and SOTIF (ISO 21448) standards Work with partner teams to develop safe, fail operational, and cost-optimized, next-generation sensing architectures and guide the selection of next-generation sensors Analyze field and simulation data to root cause issues, identify next steps or validate assumptions Leverage AI/LLM tools to accelerate analysis and automate repetitive processes, improving team efficiency Qualifications BS or MS in a related technical field, such as Electrical/Electronics Engineering, Computer Engineering, Mechanical Engineering, Compu

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 We are seeking a highly motivated Hardware Design Engineer for Pure’s Datastore team. The Pure Engineering Team builds the industry’s most innovative, high-performance, energy-efficient and TCO-optimised storage solution. As part of this team, you will help productize this differentiated storage solution for our customers. WHAT YOU'LL DO Plan, lead, implement, and debug SSD hardware designs from concept through production. Contribute to all phases of the product lifecycle, including architecture, design, documentation, validation, and sustaining. Drive interoperability testing across server/storage systems and SSDs. Diagnose and resolve HW-related issues in collaboration with internal teams, external partners, and JDMs. Apply deep knowledge of major bus technologies such as PCIe, DDR, NAND, SPI, and I2C. Evaluate system-level tradeoffs in mechanical, thermal, power, and signal integrity design. Work with diagnostics/test engineers by reviewing test plans to ensure proper coverage Lead failure analysis and root cause investigations to support field issues and customer escalations Incorporate automation and AI to enhance SSD design and validation processes. Provide technical guidance and mentorship to junior engineers. We are primarily an in-office environment and therefore, you will be expected to work from the Santa Clara, CA office in compliance with Everpure’s policies, unless you are on PTO, or work trav

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of artificial intelligence, robotics, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. As a Staff Compute & Controls Systems Engineer in Advanced Hardware Engineering (AHE), you will be responsible for developing and documenting requirements for compute and control system modules, while also driving key functional safety analyses for our compute platforms. You will work across departments at Zoox to build a system-level understanding of how AHE hardware enables critical operational functions, and you will lead the Compute Safety Analysis (FMEDA) that ensures those functions fail safely. You will work closely with hardware and software architects, and with design, safety, manufacturing, and test engineers, to ensure requirements are verified throughout the engineering development process. Your assessments will be critical to meeting milestones as we develop new generations of hardware. In this role, you will: Apply compute, controls, and systems engineering principles to define traceable computing requirements from product goals Engage with product, HW/SW engineering, production, safety, and business teams to author detailed requirements for compute and control modules. Analyze tradeoffs and drive consensus with product, hardware, and software teams to converge on compute architecture for current and new vehicle platforms. Gather and analyze critical data to define metrics, qualify systems for release, and influence system design decisions based on evidence-based insights. Create and maintain clear, precise documentation to support system designs, architectural decisions, an

Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work. About The Role HP IQ is seeking a Senior Power Systems Engineer to drive end to end system architecture, modeling, and optimization for wearable platforms. The candidate will build power models, define system use cases and operating modes, partner with product and engineering teams to meet aggressive power targets, and define manufacturing tests and field telemetry for NPI. The ideal candidate brings strong systems thinking, hands-on experience with low power architectures, and the ability to build models and telemetry to drive tradeoffs from SOC level to board level to maximize user runtime. What You Might Do: Power architecture responsibility for a wearable device covering SoC states, sensor, audio, and memory architecture tradeoffs at board level. Battery, PCM, and charging profile definition and validation Design power experiments, test plans, and measurement & telemetry mechanisms across firmware and hardware to optimize power and performance. Build and maintain system-level power models to model expected power consumption for user profiles. Map power models by subsystem, correlating

InnoPhase Inc., DBA GreenWave Radios™, is at the forefront of innovation in Open RAN digital radios. Our cutting-edge solutions, powered by the Hermes64 RF SoC, are designed to enhance network energy efficiency while dramatically reducing operational expenses, with purpose-built silicon that is the heart of ORAN-based active antenna arrays. Headquartered in San Diego, California, GreenWave Radios™ has established itself as a pioneer in delivering power-efficient digital-to-RF solutions. The company is supported by a talented team of over 100 engineers spread across four global R&D facilities. With an extensive portfolio of more than 120 global patents, GreenWave Radios™ continues to push the boundaries of radio technology and innovation. To learn more about GreenWave Radios™ and hear what our employees have to say, visit the GreenWave™ certification profile at GreatPlacetoWork.com or explore our Home - GreenWave Radios website. About the Role We're looking for an experienced Principal Hardware Design Engineer/Manager to lead PCB design and development for next-generation, high-performance cellular base stations. You'll architect the board-level circuitry that complements our custom silicon — spanning digital processing, high-speed SerDes, power management, and RF transmission/reception — to deliver a solution that's both high-reliability and low-cost/power. This opportunity is a high-visibility technical leadership role based in San Diego, CA: you'll own PCB system architecture from concept through qualification, working shoulder-to-shoulder with various domain experts to ensure everything comes together. What You'll Do Own PCB development end-to-end, from concept through production Design and implement RF, analog, digital, and power circuits for high-performance base station products Partner with experts on floor planning and PCB constraints for seamless integration Lead and review schematic capture and PCB layout Optimize PCB stack-up for per

At Carbon, our mission goes beyond 3D printing. We are enabling creators everywhere to make what the world needs, right now. Our company is built on the idea that diverse fields of study must come together to solve intractable problems. We have grand ambitions to create technology that will influence industry around the world. You will be joining a diverse team with a vibrant culture, where team success is as important as celebrating individual contributions. Help us change the world and we will help you change yours. About the Role Carbon is looking for a Senior Production Systems/Test Engineer to join our team of talented engineers in our Santa Clara, CA office. The ideal candidate is a systems engineer with a passion for solving complex manufacturing challenges -- someone who thrives on digging into difficult problems across hardware, software, and data to find root cause and drive lasting fixes. In this role, you will lead troubleshooting of our complex end-of-line systems and develop robust test and bring-up processes that make our production line more efficient, self-sustaining, and capable of delivering the highest quality products. You will be a key driver in building the kind of systematic, repeatable testing infrastructure that lets our production team move fast with confidence -- ensuring every product that leaves the building meets Carbon's exacting standards. This role is located at our Santa Clara location on Thomas Road. This role is is a full time in-office job Monday through Friday. Responsibilities Own root cause analysis and troubleshooting of complex electro-mechanical and optical systems, using data analysis and MES tools to identify, validate, and resolve issues at their source. Serve as a key technical resource for the production floor -- rapidly unblocking manufacturing personnel when issues arise, driving corrective actions through to full resolution so the line stays moving and problems don't recur. Part

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 seeking a Staff Hardware Engineer to provide advanced operational, diagnostic, and engineering support for Graphcore’s Arm-based hardware platforms across lab and data center environments. This role focuses on supporting hardware bring-up, validation, and troubleshooting of complex AI compute platforms, including server blades, racks, and rack-scale infrastructure. The successful candidate will collaborate closely with engineering, platform, and data center teams to ensure the reliability and performance of next-generation AI systems. The Team The Systems Engineering and Hardware Engineering teams are responsible for enabling the bring-up, validation, and operational reliability of Graphcore’s AI infrastructure platforms. The team works closely with server engineering, firmware teams, platform architects, and data center operations to support the development, testing, and deployment of next-generation AI compute systems. This collaborative environment enables rapid problem-solving and continuous improvement of Graphcore’s hardware platforms from early development through production deployment.

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 seeking a Staff Hardware Engineer to provide advanced operational, diagnostic, and engineering support for Graphcore’s Arm-based hardware platforms across lab and data center environments. This role focuses on supporting hardware bring-up, validation, and troubleshooting of complex AI compute platforms, including server blades, racks, and rack-scale infrastructure. The successful candidate will collaborate closely with engineering, platform, and data center teams to ensure the reliability and performance of next-generation AI systems. The Team The Systems Engineering and Hardware Engineering teams are responsible for enabling the bring-up, validation, and operational reliability of Graphcore’s AI infrastructure platforms. The team works closely with server engineering, firmware teams, platform architects, and data center operations to support the development, testing, and deployment of next-generation AI compute systems. This collaborative environment enables rapid problem-solving and continuous improvement of Graphcore’s hardware platforms from early development through production deployment.

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 seeking a Staff Hardware Engineer to provide advanced operational, diagnostic, and engineering support for Graphcore’s Arm-based hardware platforms across lab and data center environments. This role focuses on supporting hardware bring-up, validation, and troubleshooting of complex AI compute platforms, including server blades, racks, and rack-scale infrastructure. The successful candidate will collaborate closely with engineering, platform, and data center teams to ensure the reliability and performance of next-generation AI systems. The Team The Systems Engineering and Hardware Engineering teams are responsible for enabling the bring-up, validation, and operational reliability of Graphcore’s AI infrastructure platforms. The team works closely with server engineering, firmware teams, platform architects, and data center operations to support the development, testing, and deployment of next-generation AI compute systems. This collaborative environment enables rapid problem-solving and continuous improvement of Graphcore’s hardware platforms from early development through production deployment.

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: Determine true root cause of fleet hardware failures — component and system level — and drive fixes through vendors to the manufacturer. Turn "swap it again" into "vendor redesign / firmware fix / manufacturing escape found." RESPONSIBILITIES: Own named failure classes across GPU trays/baseboards, NIC/DPU, motherboard/PCIe switch, memory, power, thermal, cables/connectors, and rack-scale patterns. Run recurrence analysis and fleet-wide defect clustering; detect systemic patterns before they become fleet-scale loss. Build vendor technical escalation packages with evidence quality that forces action; partner with OEM/ODM/component manufacturers on firmware, bring-up, and manufacturing escapes through committed CAPA. Feed findings into RMA policy, spare strategy, and "do not reseat forever" stop-rules. Work the FA intake queue on rotation; keep queue age within SLA BASIC QUALIFICATIONS: Bachelor's degree in Systems Engineering, Electrical Engineering, Computer Science, or a related field (or equivalent experience). 2+ years of experience in hardware reliability engineering, preferably in high-performance computing or data center environments. Proven expertise in fir

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations Atlanta, US Austin, US Denver, US Seattle, US Washington DC, US Applications will be accepted until October 28, 2026. About the Role This is a hands-on software engineering role on the Cloudflare One Appliance team. You will shape and build the Linux-based edge runtime and distributed control plane that connect customer sites to Cloudflare. As a Senior Systems Engineer, you will work across low-level systems, distributed services, an

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 seeking a Staff Hardware Engineer to provide advanced operational, diagnostic, and engineering support for Graphcore’s Arm-based hardware platforms across lab and data center environments. This role focuses on supporting hardware bring-up, validation, and troubleshooting of complex AI compute platforms, including server blades, racks, and rack-scale infrastructure. The successful candidate will collaborate closely with engineering, platform, and data center teams to ensure the reliability and performance of next-generation AI systems. The Team The Systems Engineering and Hardware Engineering teams are responsible for enabling the bring-up, validation, and operational reliability of Graphcore’s AI infrastructure platforms. The team works closely with server engineering, firmware teams, platform architects, and data center operations to support the development, testing, and deployment of next-generation AI compute systems. This collaborative environment enables rapid problem-solving and continuous improvement of Graphcore’s hardware platforms from early development through production deployment.

About the Team OpenAI’s 1P Hardware Systems team operates at the intersection of Hardware Engineering, Infrastructure, Supply Chain, Manufacturing, Deployment, and Finance to translate infrastructure demand into an executable systems plan. The Planning Lead connects system demand and deployment timing to site and configuration requirements, power availability, XPU needs, hardware supply commitments, manufacturing capacity, and site readiness. About the Role OpenAI is seeking a 1P Hardware Systems Planning Lead to own the integrated demand, supply, and deployment plan for our 1P AI infrastructure systems. This role will connect infrastructure demand and site power availability to system configurations, XPU requirements, and hardware supply commitments—creating a single, actionable view of whether our deployment plan can be met. You will establish the planning mechanisms that allow teams to see what changed, understand the impact, and act quickly when demand, supply, configuration, site readiness, or power timing moves. You will work across Hardware Engineering, Infrastructure, Supply Chain, Strategic Sourcing, Manufacturing, Deployment, and Finance to identify gaps early and drive recovery plans to closure. This is a highly cross-functional role for someone who combines systems-level thinking, strong analytical judgment, and rigorous program execution. The ideal candidate can turn complex and changing inputs into a clear operating plan, surface the decisions that matter, and drive accountability across teams without relying on formal authority. Success also requires strong communication judgment: the ability to align cross-functional teams, brief leadership at a concise and decision-oriented level, and go deep into the underlying assumptions, dependencies, risks, and recovery plans when needed. Responsibilities Integrated Planning - Own the integrated planning process for 1P hardware systems, connecting system demand, deployment timing, site and configuration require

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 We are looking for a recent graduate or early-career engineer to join the Hardware Platform Development team as a Graduate Systems Engineer. You will contribute to the design, integration, validation, and performance analysis of advanced AI compute platforms. You will work with experienced hardware, firmware, software, mechanical, thermal, and systems engineers throughout the development lifecycle. The role combines subsystem engineering, hands-on laboratory work, test automation, data analysis, troubleshooting, and clear technical documentation. Start: September, 2027 Location: Austin, Texas, USA What You Will Do Contribute to the design, integration, and testing of CPU and high-speed input and output subsystems for advanced compute platforms. Take ownership of defined engineering tasks from requirements and test planning through execution, analysis, and technical review. Develop system-level validation plans, procedures, scripts, and tools that improve test coverage, repeatability, data collection, and analysis. Evaluate platform performance, power, signal behavior, reliability, and interoperability using laboratory measurements and system data. Investigate emerging input and output technologies, including PCIe 6.0 and 800G Ethernet, and assess their use in advanced computing systems. Support platform power, cooling, and energy-efficiency investigations, including liquid-cooling systems for high-performance processor