Senior Hardware Design Engineer Jobs

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Substrate is the team responsible for Palantir’s core production infrastructure — 100s of K8s clusters — from on-prem to the major cloud hyperscalers, whether they are internet-connected or air-gapped, small hardware footprint or large. As a Senior Software Engineer on Substrate, you will design and build Palantir’s managed Kubernetes product offerings across all these environments. You and your team will be responsible for bootstrapping and operating the entire fleet of K8s clusters with zero manual steps by building industry leading tooling and contributing to core CNCF components. You will also be responsible for ensuring scale, stability and security across a matrix of compliance regimes and hosting infrastructure types. Your team culture emphasizes engineering rigor and operational excellence at scale. This means issues in production should be pre-empted and deeply root-caused, and investments in automation and self-healing systems are key. If you’re excited about infrastructure at scale and working with Kubernetes, this is the right role for you. Core Responsibilities Deliver a container runtime to challenging new environment types - new clouds, on premise, edge devices Build automation and establish standards for operating K8s securely at scale with zero manual ops overhead Drive innovation through adoption of novel K8s features and CNCF tools, making upstream contributions as needed Design the next generation of Palantir’s infrastructure through a deep understanding of internal systems and CNCF standards What We Value Systems programming experience with strong proficiency in golang, C/C++ or equivalent</

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Substrate is the team responsible for Palantir’s core production infrastructure — 100s of K8s clusters — from on-prem to the major cloud hyperscalers, whether they are internet-connected or air-gapped, small hardware footprint or large. As a Senior Software Engineer on Substrate, you will design and build Palantir’s managed Kubernetes product offerings across all these environments. You and your team will be responsible for bootstrapping and operating the entire fleet of K8s clusters with zero manual steps by building industry leading tooling and contributing to core CNCF components. You will also be responsible for ensuring scale, stability and security across a matrix of compliance regimes and hosting infrastructure types. Your team culture emphasizes engineering rigor and operational excellence at scale. This means issues in production should be pre-empted and deeply root-caused, and investments in automation and self-healing systems are key. If you’re excited about infrastructure at scale and working with Kubernetes, this is the right role for you. Core Responsibilities Deliver a container runtime to challenging new environment types - new clouds, on premise, edge devices Build automation and establish standards for operating K8s securely at scale with zero manual ops overhead Drive innovation through adoption of novel K8s features and CNCF tools, making upstream contributions as needed Design the next generation of Palantir’s infrastructure through a deep understanding of internal systems and CNCF standards What We Value Systems programming experience with strong proficiency in golang, C/C++ or equivalent</

At Zoox, you will collaborate with a team of world-class engineers with diverse backgrounds in areas such as AI, robotics, mechatronics, planning, control, localization, computer vision, rendering, simulation, distributed computing, design, and automated testing. You’ll master new technologies while working on code, algorithms, and research to impact key systems to move Zoox forward. Responsibilities Lead the Sensor Change Playbook workflow, defining the validation process for our next-generation, low-cost vehicle platforms. Partner with PCP V&V to define the Autonomy Technical Specification (ATS) by identifying "bounding" (worst-case) scenarios, particularly those related to winter driving (e.g., heavy snow, ice, sensor occlusion). Work with PCP model owners to architect low-cost stacks that reduce reliance on expensive sensors and accommodate reduced compute (e.g., migrating from 8 GPUs to 1 Thor). Drive the Clearance MoC (Method of Compliance) process for hardware changes, balancing cost, compute constraints, performance and safety. Qualifications Deep expertise in the PCP Stack , multi-modality fusion, and optimizing architectures for severely constrained compute budgets. Experience in V&V (Validation & Verification) for safety-critical systems, specifically expanding into complex Operational Design Domains (ODDs) like winter weather. Proven ability to influence cross-functional stakeholders (SDMA, AHE, PCP) to align on cost vs. performance trade-offs. The ability or experience of managing or curating datasets for sensor validation or model training Bonus Qualifications Experience with Autonomy Technical Specifications (ATS) and defining winter/adverse weather bounding scenarios. Experience working with VLM’s. Ab

Job Details: Job Description: Why Join Us Join a team shaping the future of AI on Intel platforms. You will work on cutting-edge technologies that accelerate Large Language Models, Generative AI, and other advanced AI workloads on next-generation Intel GPUs. This role offers the opportunity to collaborate with experts across hardware architecture, compilers, runtime systems, and AI frameworks while developing skills that span the full AI software stack. Your work will have direct impact on delivering industry-leading AI performance and enabling the next generation of AI applications. Intel is seeking a Senior AI Systems Software Engineer to drive optimization strategy and technical leadership across the AI software stack. In this role, you will lead the development of high-performance software solutions that accelerate AI inference workloads, including Large Language Models (LLMs), Generative AI, and emerging machine learning applications on Intel GPU platforms. You will work across software, compilers, runtimes, frameworks, and hardware architecture teams to deliver breakthrough AI performance and influence future product direction. What You’ll Do Key responsibilities will include but not limited to: Lead optimization initiatives for AI inference workloads on Intel GPUs. Define and drive performance optimization strategies across compilers, runtimes, and GPU kernels. Architect software solutions that improve scalability, efficiency, and performance. Profile, benchmark, and analyze complex AI workloads to identify system bottlenecks. Influence hardware and software co-design decisions through performance characterization and workload analysis. Drive cross-functional technical initiatives spanning architecture, compiler, framework, and r

NVIDIA’s invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern deep learning — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company and establish teams with the most thoughtful people in the world. Are you ready to change the next generation of computing? Join us at the forefront of technological advancement. NVIDIA data center systems have become core to NVIDIA's rapidly growing enterprise and cloud provider businesses. These platforms bring together the full power of NVIDIA GPUs, NVIDIA NVLink, NVIDIA Networking, NVIDIA Data Center CPUs, and a fully optimized NVIDIA AI and HPC software stack. We are seeking an excellent Senior System Engineer to work on bring up, integration, validation and troubleshooting for compute tray platforms of GPU Racks — ensuring servers are fully functional and validated as per requirement before mass deployment in data centers. What you’ll be doing: Working with a global team of architects and developers on NVIDIA AI server system (CPU, GPU, Memory, NIC, PCIe, NVMe SSD, Cooling, etc.) designs. Working closely with hardware teams to influence hardware system design, reviewing schematics and board design to ensure speed of light execution. Using simulation and emulation to left-shift early design and initiate new concepts and innovations. Hands on debug and support of early server prototypes bring-up and power on test debug in datacenter system labs. Factory and Manufacturing support: Support manufacturing flows, firmware updates, and diagnostic procedures. Ensure BOM change signoff and proc

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are now looking for a Senior Software Performance Engineer for Autonomous Vehicles! Our team builds NVIDIA’s end-to-end autonomous driving applications. We are seeking senior software engineers who are passionate about performance with an interest in optimizing self-driving solutions that run on NVIDIA’s multi-computer and heterogenous HW architectures. What you’ll be doing: Develop, maintain and optimize latency and throughput of NVIDIA’s L2/L3/L4 autonomous driving solutions. Devise acceleration strategies and patterns to improve software architecture and its efficiency on our computers with multiple heterogeneous hardware engines while meeting or exceeding product goals. Develop highly efficient product code in C&#43;&#43;, making use of algorithmic parallelism offered by GPGPU programming (CUDA)/ARM NEON while following quality and safety standards such as defined by MISRA. Collaborate with HW, product, OS, and safety teams to design next-gen products. What we need to see: MS or PhD degree in Computer Science, Computer Architecture, Electrical Engineering or related field (or equivalent experience). 12&#43; years of relevant professional experience. Excel

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 is seeking a Senior Structural Engineer to own structural sizing and optimization of primary and secondary structure across our next-gen aerospace platforms via 1st order hand calculations as well has finite element analysis. You will build structural finite element models to write structural margins of safety for lightweight, high-performance airframe structures including metallics, composites, bonded joints, and bolted joints. You will support design-analysis cycles working hand in hand with designers, load and dynamics, and flight sciences teams. You will drive trade studies at the vehicle, subassembly and component level balancing mass, strength, stiffness, performance, and manufacturability at scale. Working alongside test and loads teams, you can validate designs, and correlate models, via structural or dynamic testing. You will write analytic reports and trade studies validating designs for presentation to peers and leadership. Additionally, you will help establish structural design best practices, mentor other engineers, and accelerate the development of hardware across the program. Key Responsibilities Own vehicle structural sizing from preliminary architecture through detailed design including major load

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 The Hyperscale Line of Business builds and ships products to hyperscale customers at exabyte scale, with an emphasis on speed, reliability, and operational excellence. The Build Environments and Tools team owns developer productivity infrastructure related to build orchestration, build systems, and containerized build environments that engineers rely on daily to build and test software. We're looking for a Senior Software Engineer to join this team and help build fast, reliable, and reproducible build infrastructure at scale. You'll work hands-on with build orchestration, build-system internals, and containerized build environments — including large-scale C/C++ builds — while partnering with tech leads and engineers across the Hyperscale org to remove friction from everyday developer workflows. WHAT YOU'LL DO Design, develop, and maintain build orchestration systems and tooling Drive improvements to build speed, reliability, reproducibility, debuggability, and ease of use across local development and CI workflows Own and evolve containerized build environments, ensuring consistent, isolated, and reproducible build images Work on large-scale C/C++ build challenges, including dependency pruning, and static/dynamic linking tradeoffs Diagnose and resolve build-graph correctness issues, flaky builds, and incremental-build regressions Partner with tech leads and the engineering manager to shape the team's technical road

The Continuous Profiler team at Datadog is building a cutting-edge continuous profiling product that has low enough overhead to run continuously in production, unlocking insights into how customer applications perform under real workloads at scale. As AI reshapes software development and teams lose touch with how their code works and interacts with the hardware, this capability is becoming more essential than ever, for humans and AI alike. Today the information produced by our profilers is used for everything from automatic performance tuning to root cause analysis. As a distributed systems engineer on the profiling team, you will be contributing to the systems that intake, process, index, store and make sense of the data collected. You will be working with some of the best runtime engineers, visualization experts, data scientists and designers in the industry on challenging and fun problems. Together, we contribute to runtime ecosystems such as Go and tackle novel problems, from profiling asynchronous Python applications to helping customers solve memory leaks in their applications . At Datadog, we place value in our office culture: the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Help design, build and contribute to the core services making the profiling product possible, at a scale that is unusual even within Datadog. Participate in multi-disciplinary squads, and iterate with customers, to bring ideas all the way from early explorations to impactful product experiences. You will be responsible for your code from development to production, and meet ambitious SLO and quality gates. You will be working with many internal and external stakeholders, working on various ways to consume the profiling data, such as the UI, agentic tools, inter

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 Controller is the critical link between Nuro Driver's upstream autonomy stack and physical vehicle platform — translating planned trajectories into safe, precise, real-world motions. As a Senior/Staff Controls Engineer, you'll design and deploy production controls software that powers L4 autonomous driving across an expanding operational design domain, from parking lots to highways, in all weather and road conditions. You'll work alongside world-class engineers across autonomy, hardware, and systems to solve problems that don't have textbook answers and see your work running on real vehicles globally. About the Work Develop robust, reliable and optimized production-level control software following safety standards (ISO 26262). Develop seamless interactions between planner and controller and advanced control strategies for expanded ODD including parking lot maneuvers through highway driving under various weather condi

The Continuous Profiler team at Datadog is building a cutting-edge continuous profiling product that has low enough overhead to run continuously in production, unlocking insights into how customer applications perform under real workloads at scale. As AI reshapes software development and teams lose touch with how their code works and interacts with the hardware, this capability is becoming more essential than ever, for humans and AI alike. Today the information produced by our profilers is used for everything from automatic performance tuning to root cause analysis. As a distributed systems engineer on the profiling team, you will be contributing to the systems that intake, process, index, store and make sense of the data collected. You will be working with some of the best runtime engineers, visualization experts, data scientists and designers in the industry on challenging and fun problems. Together, we contribute to runtime ecosystems such as Go and tackle novel problems, from profiling asynchronous Python applications to helping customers solve memory leaks in their applications At Datadog, we place value in our office culture: the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Help design, build and contribute to the core services making the profiling product possible, at a scale that is unusual even within Datadog. Participate in multi-disciplinary squads, and iterate with customers, to bring ideas all the way from early explorations to impactful product experiences. You will be responsible for your code from development to production, and meet ambitious SLO and quality gates. You will be working with many internal and external stakeholders, working on various ways to consume the profiling data, such as the UI, agentic tools, internal applicat

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. About the Role We are looking for a Systems Engineer to help build and manage tools that help engineers deploy and operate the services that make Cloudflare work. Our mission is to provide a reliable and flexible platform to help product teams release new software efficiently and safely. The role includes both software engineering and operational responsibilities. Available Locations: Austin, TX; Lisbon, PT; London, UK. Responsibilities Design and build

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 Join the front-end fabrics team and help shape the next generation of enterprise hardware platforms and software-defined data-center infrastructure. You will work at the intersection of hardware, operating systems, storage, networking, and distributed systems—solving complex problems that directly influence how customers deploy, operate, and scale their environments. This is an opportunity to own meaningful work across the full platform lifecycle: from early hardware bring-up and system validation through manufacturing release, customer deployment, upgrades, and fleet-level reliability. You will partner closely with hardware engineers, system architects, OS developers, and customers to turn ambitious platform requirements into robust, supportable products. WHAT YOU'LL DO Drive differentiated value from new hardware platforms by shaping architecture and design requirements that improve performance, scalability, and fleet-level efficiency—from early bring-up through manufacturing release, deployment, upgrades, and operations. Design, implement, debug, and deliver user-space software in C and C++ across storage protocols, networking, and data-center architectures. Develop and improve remote server-management capabilities using industry standards such as Redfish. Design and enhance Reliability, Availability, and Serviceability (RAS) features that make platforms easier to operate, diagnose, recover, and maintain at sca

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 Drive the technical foundation and supply integrity of Everpure’s enterprise flash arrays, blades, and server building blocks as Component Engineering Manager. You will lead a high-performing engineering team and serve as the final authority on component qualification, ensuring every storage node, CPU, memory subsystem, and interconnect module meets uncompromising performance and reliability standards. By bridging Hardware Engineering, Quality, Supply Chain, and global semiconductor vendors, you will directly influence product architecture while safeguarding manufacturing continuity and operational scale. WHAT YOU'LL DO Engineering Leadership & Talent Development: Build, direct, and mentor a specialized team of component engineers spanning flash/SSD technologies and server platform hardware, fostering technical growth and setting execution priorities. End-to-End Component Qualification: Own the complete qualification lifecycle—defining rigorous test plans, analyzing supplier data, and issuing final approval for design-in and mass production across NAND flash, CPUs, DRAM, power systems, and interconnects. Strategic Flash & SSD Oversight: Drive roadmap alignment and technology node transitions with key storage suppliers, governing media characterization, firmware qualification, and long-term architectural integration. Supply Resilience & Risk Mitigation: Establish multi-sourcing strategies, lead s

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 Drive the technical resolution and stability of Everpure's highest-stakes cloud storage deployments for top-tier hyperscale partners. As a Senior Software Engineer on the Hyperscale Product Escalations team (known internally as a Forensics Engineer), you will serve as the technical bridge between field telemetry and core engineering, diagnosing high-complexity distributed systems failures and creating automation that anticipates issues before they impact customer workloads. You will directly influence customer trust, enable multi-million dollar account success, and help architect the future of hyperscale storage solutions built for AI-driven infrastructure. WHAT YOU'LL DO Lead Root-Cause Investigations: Analyze complex system behavior, memory dumps, field telemetry, and low-level code across platform, firmware, and software layers to isolate and resolve critical failures in large-scale distributed systems. Build System Health Automation: Design and deploy automated diagnostics, predictive health-monitoring services, and AI-assisted workflow tools that reduce manual triage time and prevent recurring failure patterns across growing global fleets. Direct Hyperscaler Engineering Collaboration: Partner directly with technical teams at hyperscale customer organizations to solve deep integration challenges, ensuring platform reliability and unlocking major expansion opportunities. Engineer Fleet-Wide Reliability Improvem