Principal Hardware Engineer Jobs

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. As a Principal Engineer and Member of the Technical Staff in the Procurement and Operations Central Teams (PROCT) and Advanced Development Team (ADT), you will primarily focus in the early maturity phase of new products as they transition from technology development centers to our high-volume manufacturing sites. Your contributions to our team will support innovation and enable improvements in product yield, quality and cost reduction that are vital to enable our manufacturing strategy. We are looking for outstanding candidates experienced with semiconductor process development/optimization, hardware and supplier management, and an understanding of NAND & DRAM integration to contribute and grow with our organization. Good organization skills and the ability to work independently or in teams is a must and because this role is essential to the success of Micron's products it will require international travel to Micron manufacturing and technology development sites. Your responsibilities include, but are not limited to: Collaborate with Technology Development (TD) on future technology requirements and model of record requirements to ensure manufacturing roadmap is aligned with the forward technology path Partner with TD and Manufacturing on supplier engagement to ensure resources meet Micron's strategic objectives. Collaborate with Manufacturing as new products are introduced to improve performance and enable customer qualification. Connect with co

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 Reporting to senior leadership within Architecture and Validation, the Power and Performance Validation Lead will drive validation strategy and execution for advanced AI compute silicon and systems. The role is responsible for leading power, thermal and performance validation activities across pre-silicon and post-silicon environments to ensure products meet efficiency, reliability and scalability expectations. This role combines deep technical expertise with people leadership responsibilities, including team development, prioritisation, mentoring and delivery coordination across multiple projects and stakeholders. The Team The Power and Performance Validation team sits within the Architecture and Validation organisation and is responsible for validating the performance, efficiency and thermal behaviour of Graphcore silicon and systems. The team supports the full product lifecycle, from early architectural modelling through to first silicon bring-up, characterization and production readiness. Engineers work closely with cross-functional teams globally to debug complex issues, optimize workloads and continuously imp

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role As a Principal Software Engineer, you will help define and build the high-performance, highly reliable foundation of the Nuro Driver. This role spans Device Platform, Performance, and Onboard Systems, requiring deep technical leadership across sensor and compute integration, onboard runtime systems, distributed execution, and autonomy software performance. You will architect hardware-agnostic device interfaces, inter-device communication pipelines, runtime APIs, and onboard software platforms that enable Nuro’s autonomy stack to run safely and efficiently across current and future vehicle platforms. You will also lead system-wide performance and reliability efforts, including latency reduction, resource efficiency, observability, automated validation, and tooling for debugging complex onboard systems. This is a highly cross-functional and high-impact role. You will partner with autonomy, hardware, safety, validation, opera

About the Team Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but operational in how we execute, and we support every product and research effort at OpenAI. Our tenets include prioritizing for impact, enabling researchers and developers, preparing for future transformative technologies, and fostering a strong, collaborative security culture. About the Role OpenAI is seeking a Principal Software Engineer to join the Infrastructure Security (InfraSec) team. InfraSec safeguards the core of OpenAI’s research and production environments: GPU supercomputing clusters, multi-cloud infrastructure, datacenters, networking, storage, and the critical services that power our frontier AI models. Our charter spans everything from bare-metal hardware and firmware to Kubernetes clusters, service meshes, and the data pathways that carry highly sensitive model weights and user data. As a Principal Software Engineer, you will set technical direction and drive execution of critical foundational services, such as authentication systems, egress/ingress proxies, access brokers, and key management platforms, that demand high standards of reliability, scalability, and software craftsmanship. These systems form the security backbone of OpenAI’s customer and supercomputing environment and must remain robust under intense scale and adversarial pressure. In this role, you will: Own the architecture and roadmap for one or more core security services (e.g., authN/Z, policy enforcement, secure proxies, key management), taking them from design to rollout to long-term operation. Design and implement planet-scale security systems that provide strong guarantees across hardware, operating systems, Kubernetes, networks, and CI/CD: balancing security, reliability, latency, and developer ergonomics. Lead cross-functional launches

About the Team Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but are operational in how we do our work, and are committed to supporting all products and research at OpenAI. Our Security team tenets include: prioritizing for impact, enabling researchers, preparing for future transformative technologies, and engaging a robust security culture. About the Role OpenAI is seeking a Principal Security Engineer to join our Infrastructure Security (InfraSec) team. InfraSec protects the foundations of OpenAI’s research and production environments, spanning GPU supercomputing clusters, multi-cloud infrastructure, datacenters, networking, storage, and the critical services that power our frontier AI models. Our charter includes securing everything from bare-metal hardware and firmware, to Kubernetes clusters and service meshes, to data storage and access pathways for highly sensitive model weights and user data. As a principal engineer, you will set technical direction and drive execution on high-impact infrastructure security programs, partnering across various orgs at OpenAI to deliver durable controls that raise the security bar at OpenAI scale. In this role, you will: Own end-to-end security outcomes for one or more critical infrastructure areas, including multi-quarter strategy, roadmap, and delivery. Design and build security controls across diverse layers (e.g., physical hardware, firmware/BMC, OS, Kubernetes, networks, and CI/CD) to defend against sophisticated adversaries and insider threats. Lead cross-functional programs to deploy security enhancements and control changes across broad-scale infrastructure, balancing security guarantees with reliability and velocity. Take a generalist approach to building security controls, balancing a mix of security expertise and broad technical skillsets

About Us Are you ready to build the future of supply chain? At Gather AI, we're not just creating software; we're pioneering a new era of warehouse intelligence. We've developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining "on-time, in full" delivery. If you're looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We're leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time. About You As a Principal Systems Engineer at Gather AI you will be a technical leader, driving the development and integration of cutting-edge autonomous and passive sensing systems, bridging the gap between product vision, complex system requirements, hardware implementation, and real-world performance. What You’ll Do Take full technical ownership of the design, architecture, and integration of the autonomous data gathering systems in logistics and material handling environments. Collaborate with Product Management, Customers, and cross-functional engineering teams (e.g., Software, Hardware, Cloud, Test) to negotiate and finalize system boundaries and interfaces. Serve as a technical leader, mentoring less experienced engineers and setting the standard for systems engineering best practices. Possess specific, in-depth knowledge of hardware implementation and integration challenges for both active robotic components (e.g., actuators, controllers) and passive sensing modalities (e.g., RGB cameras, depth cameras). Drive trade-off analyses, risk assessment, and mitigation planning for critical system elements. Requirements BS, MS, or PhD

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 Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, norma

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 Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, norma

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 Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, norma

NVIDIA’s Test Design Engineering (TDE) group designs, develops, validates, and deploys production test solutions for our networking portfolio, including network interface cards (NICs), SmartNICs and DPUs, NVLink systems, and Ethernet switches. Our teams in Israel and Vietnam support testing at contract manufacturer (CM) production sites worldwide. In this Santa Clara-based role, you will connect TDE with NVIDIA’s engineering and operations teams. You will help shape test strategies, coordinate technical decisions, and bring shared software and test capabilities into networking production testing. Your experience with production testing and systems such as servers, PC reference validation platforms (RVPs), and other multi-component hardware will help teams develop test solutions that meet both engineering requirements and manufacturing needs. What you’ll be doing: Partner with Santa Clara test engineering teams to develop production tests for platforms that combine networking ASICs, microcontrollers (MCUs), and other components. Guide test architecture, coverage, and failure diagnosis for complex hardware platforms, drawing on your experience developing and deploying production tests. Work with security teams to incorporate security requirements into test methods and workflows. Coordinate technical decisions, priorities, and dependencies across teams so TDE’s roadmap stays aligned with GPU engineering and platform development. Collaborate with CPU and GPU test diagnostics teams to reuse software, components, and test flows, with a focus on shared capabilities across L10 and L11 system test levels. Participate in new platform projects from the planning stage, bringing TDE’s requirements and expertise i

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. As s Principal Engineer/MTS (Member of Technical Staff), you will be a part of revolutionary Next Generation NAND research & development Dry Etch team driving critical modules listed below. The position promises ample opportunities for innovation, collaboration and testing a new dimension and scaling with Next Generation NAND . You will work directly with process integration and other process areas such as Wet Etch, CVD, Diffusion, Metals, Lithography & CMP. You will work on state of the art and best in class dry etch chambers & own the process roadmap to meet program and yield goals. Your responsibilities include, but not limited to: Leading Dry Etch technology and critical module development Be a Dry Etch Area expert. Develop/innovate dry etch processes to meet structural and electrical specifications Collaborate with hardware teams to build equipment roadmap for the current and next generation NAND products. Demonstrate authority on dry etch technology fundamentals and have a mechanistic understanding of process parameters impact. Collaborate and lead cross functional teams to solve complex structural problems. Present process and technology roadmaps for current and future technology nodes. Stay

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. As a Staff/Principal Engineer, you will be a part of groundbreaking next generation NAND research & development dry etch team driving critical modules listed below. The position promises ample opportunities for innovation, collaboration and testing a new dimension and scaling with next generation NAND . You will work directly with process integration and other process areas such as Wet etch, CVD, Diffusion, Metals, Lithography & Dry Etch. You will be involved with innovative and outstanding dry etch chambers & own the process roadmap to meet program and yield goals. Your responsibilities include, but not limited to: Main Responsibilities: As a CMP Process Development Engineer, you will develop and optimize chemical mechanical planarization procedures. These procedures aim to improve product quality and reliability for the next generation of Micron's memory parts. Focus on understanding and improving the process margins required for meeting the mature yield goal for 3D NAND parts Advanced 3D NAND CMP process development will include performing fundamental research, consumables development, and hardware evaluation, as well as testing processes for novel applications Initiate and manage experiments to widen process margins as well

About Graphcore At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary We are looking for an experienced Silicon Test Engineer to join our Product Test and Diagnosis Department (PTD). This is a pivotal role and will involve building a team of engineers to develop System Level Test (SLT) capability within the company. Working closely with a cross-functional team you will implement SLT tests for a family of next generation AI Processors. The ideal candidate should have a focus on quality and demonstrate a good understanding of the importance of production test on the success of a product. T hey will have a proven Functional Test or ATE Test Engineering background, and will have a pragmatic, hands-on and flexible approach to a fast-changing environment. 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 Managing a team of

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Key Responsibilities Validation Execution Lead end‑to‑end Validation Run execution in a high‑pressure, fast‑paced environment , ensuring on‑schedule starts/completions , risk‑aware re‑plans , and efficient material usage . Own time‑bound data crunching pipelines (automated log parsing, metrics aggregation, anomaly ranking) and deliver decision‑ready summary reports and sightings by agreed Cycle Time. Guarantee coverage completeness across Validation flows; drive Hot/Cold corners , screen , timing boundary coverage, and evidence‑backed closure . Platform Leadership Develop and debug test programs on ATEs like Advantest and In-house ATE; enforce code quality, reviews, and release discipline. Align hardware configs ( handler, socket, loadboard, probe card ) to test intent and throughput targets. Advanced Analysis, Verilog Simulation & Automation Perform power/thermal characterization ; correlate IDD/thermal data with performance/reliability; author recommendations for content changes and silicon fixes. Architect and execute Verilog simulations (bench cre

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. Hands-on technical contributor responsible for customer-focused system validation of enterprise and data-center SSDs, owning execution, debugging, qualification, and multi-functional coordination. Responsibilities: • Plan and implement customer‑specific system and SSD validation cycles, including regressions and qualification runs. • Set up and maintain validation environments and analyze test results to drive root‑cause resolution. • Perform system‑level and drive‑level debugging and reproduce customer‑reported issues. • Develop and enhance validation test cases, scripts, and automation frameworks. • Own the process of conducting validation for assigned programs while mentoring developing engineers and contributing to test strategy. • Applying Artificial Intelligence to improve organizational level working efficiency Minimum Qualifications: • Bachelor’s degree in Computer science, Electrical/Computer Engineering, or a related field with 8+ years of experience in customer, product, or system validation roles. • Strong knowledge and experience with NVMe and PCIe protocols and debugging skills across system, firmware, and hardware domains. • Hands-on experience accomplishing system‑level validation in complex hardware/software environments. • Experience collaborating with multi-functional engineering teams (firmware, hardware, systems). • Proficiency with scripting/programming in Python, C/C++, or similar languages and understanding of val