Senior Software Engineer, At Scale Compute Analysis NVIDIASenior Software Engineer, At Scale Compute AnalysisUs, CaliforniaWork with high-dimensional data: spot trends, tie changes to known events, summarize conclusions, and communicate results to engineers and leadership. Join a team that analyzes large-scale datacenter workloads on GPU-accelerated clusters.
Senior Lab Technician NvidiaSenior Lab TechnicianSanta Clara, CAMonitor and troubleshoot laboratory equipment, including air compressors, water pumps, water chillers, power distribution units, and network issues. What Will You Be Doing: Conduct daily routine lab walk-throughs to identify any issues or concerns that need to be addressed and to maintain a safe working environment in our labs.
Senior Systems Software Engineer – GPU Software NVIDIASenior Systems Software Engineer – GPU SoftwareUs, CaliforniaHelp identify and solve performance bottlenecks in our driver, both in markets of scale like datacenter as well in gaming markets where applications need to run as fast as possible; help shape robust, scalable driver solutions for both compute and graphics environments. In this role, you will help design and develop key components of our production GPU kernel drivers and embedded software, shaping products used across both datacenter and gaming markets.
Senior Manager, Failure Analysis NvidiaSenior Manager, Failure AnalysisSanta Clara, CAD. or M.S. or equivalent experience in Mechanical Engineering, Chemical Engineering, Aerospace Engineering, Materials Science, or a related field, with strong theoretical and applied knowledge of structural analysis, material science, heat transfer, and fluid mechanics. Extensive knowledge of failure analysis techniques, hazard recognition, and incident examination employing established frameworks; practical experience with sophisticated lab tools such as SEM, FIB, and digital/RF test instruments.
ECAD PCB Tools Developer NVIDIAECAD PCB Tools DeveloperUs, CaliforniaProven history of delivering EDA / ECAD around Cadence System Capture and SPB Allegro Layout to aid system designers in sophisticated implementations. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5.
Senior Software QA Test Development Engineer - Diagnostics NVIDIASenior Software QA Test Development Engineer - DiagnosticsUs, CaliforniaThis candidate must have enterprise server integration, strong Linux experience, reliability testing with various telemetries, scale out cluster, test plan development, track record in developing AI tools and NLP, DevOps, CI/CD experience to join our platform SWQA team. Strong experience in FW, BMC/OpenBMC, Network protocol, internal/external enterprise storage devices, PCIe buses and devices, IO sub-devices, CPU and memory, ACPI, UEFI spec, Redfish - huge plus.
Senior Technical Program Manager, Quantum Computing Applied Research NVIDIASenior Technical Program Manager, Quantum Computing Applied ResearchRedmond, Washington10+ years of technical program management experience leading large-scale, cross-functional technology initiatives, including multiple sophisticated programs at once and execution alongside research, engineering, and technical leadership. Partner across engineering, applied research, and product teams inside NVIDIA, and with external collaborators, you will build and operationalize innovation roadmaps that pioneer ahead.
Senior Firmware Engineer - GPU Verification NVIDIASenior Firmware Engineer - GPU VerificationUs, CaliforniaWe have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
Physical Design And Timing Engineer Intern - Summer 2027 NvidiaPhysical Design And Timing Engineer Intern - Summer 2027Santa Clara, CAWays to stand out from the crowd: Hands-on experience applying AI/ML models or LLM-based tools to solve EDA, design automation, or physical design problems. Familiarity with applying AI/ML techniques to physical design workflows to accelerate design, analysis, or automation tasks.
Senior Manager, Engineering - Autonomous Vehicles NvidiaSenior Manager, Engineering - Autonomous VehiclesRedmond, WAAn era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package.
Senior Technical Product Marketing Manager, NVIDIA Nemotron NVIDIASenior Technical Product Marketing Manager, NVIDIA NemotronUs, California8+ years of proven experience in product marketing, product management, technical marketing, or similar go-to-market roles within AI/ML, cloud platforms, developer tools, enterprise software, data infrastructure, or a related area. Work with cloud-service providers, systems integrators, ecosystem partners, and sales teams to identify priority workloads, sharpen value propositions, and build repeatable adoption motions.
Principal Engineer, CUDA UMD - GPU Kernel Scheduling NVIDIAPrincipal Engineer, CUDA UMD - GPU Kernel SchedulingUs, CaliforniaYou will be an integral part of a team that delivers features and improvements to better realize the potential of NVIDIA hardware for a growing range of computational workloads, ranging from deep learning, scientific computation, data science and self-driving cars to video games and virtual reality. More recently, GPU deep learning ignited modern AI — 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.
Sales Manager, Medtech NVIDIASales Manager, MedtechUs, CaliforniaYou are going to work directly with end customers, NVIDIA channel partners, and the extended sales team to achieve and exceed growth targets across a set of named manufacturing accounts in the United States. This role requires detailed and resourceful teamwork across the NVIDIA platform, the developer community, and the network of partners to enable our customers to save money and make money!
Global Account Manager – AI and Accelerated Computing Hardware Solution Implementation NVIDIAGlobal Account Manager – AI and Accelerated Computing Hardware Solution ImplementationDurham, North CarolinaThis position requires collaboration with Lenovo and NVIDIA platform development teams covering hardware, software, delivery and support, product managers, product marketing, and GTM teams. Become an authority on Data Center, Client, Edge, Networking, and Storage products to enable the identification of the new solution opportunities with which to incorporate NVIDIA’s Full-Stack of Products!
Senior AI Infrastructure Software Engineer - DGX Cloud NVIDIASenior AI Infrastructure Software Engineer - DGX CloudRedmond, CaliforniaOur work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions, from artificial intelligence to autonomous cars. The role provides the autonomy to work on meaningful projects with the support and mentorship needed to succeed, and contributes to a culture of blameless postmortems, iterative improvement, and risk-taking.
Senior Agentic Insights Engineer NVIDIA CorpSenior Agentic Insights EngineerSanta Clara, CAArchitect scheduled-push delivery mechanics for persona-based insights in Slack and Microsoft Teams, demonstrating native platform capabilities where available and building custom integrations where they fall short. What we need to see: 12+ years of experience in data/analytics engineering, BI development, or applied AI/ML engineering, with a Bachelor's degree in Computer Science, Data Science, Engineering, or a related field, or equivalent experience.
Senior Compiler Engineer, Agentic Compiler Systems NVIDIA CorpSenior Compiler Engineer, Agentic Compiler SystemsRedmond, WAThis includes developing compiler-oriented agents and workflows, building numerical validation and verification infrastructure, and co-designing with NVIDIA's compiler, runtime, library, and hardware teams to bring new capabilities into production tools and products. We have some of the most brilliant and hardworking people in the world working with us and our product lines are growing fast in some of the hottest state of the art fields such as Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles.
Senior RMA Customer Experience Manager NvidiaSenior RMA Customer Experience ManagerSanta Clara, CAServe as Lead: Trainer and support for other case managers on program, process, customer interface and working internally as new programs develop for NPI and implemented into our global customer service team. Uptime and Buffer Stock: Track key customer installations uptime and work with planning team to maintain buffer stock near customer sites to proactively address potential supply shortages.
Manager, Software Engineering - Cumulus Linux NVIDIAManager, Software Engineering - Cumulus LinuxUs, CaliforniaIn this role on Cumulus Linux a Debian based distribution, you'll be responsible for leading a software development team responsible for defining, and implementing, Cumulus Linux core infrastructure services, Reliability, Availability and Serviceability features, as well as overall responsibility telemetry features. Help engineers develop their careers, assigning them to projects tailored to their current skill levels as well as their long-term development, taking into account evolving strengths and capabilities.
GPU System Performance Architect NvidiaGPU System Performance ArchitectBoulder, COWe are now looking for a GPU System Performance Architect: The NVIDIA Architecture group is looking for extraordinary computer architects with a real passion for GPU-accelerated deep learning, data analytics and high performance computing to help design and develop the next generation of GPU-accelerated computing systems. What we need to see: You have a Masters or PhD in a relevant discipline such as Computer Science, Electrical Engineering, or Computer Engineering (or equivalent experience) with 10 years of relevant work or research experience.