Head of Global Customer Engineering - Internal EDA Infrastructure NVIDIA CorpHead of Global Customer Engineering - Internal EDA InfrastructureWAGrow and develop the leaders running a globally distributed team of customer-facing engineers who own the reactive support queue for EDA infrastructure - escalating into service engineering with clean, high-quality signal. You've architected "self-healing" support ecosystems where a customer engineering team builds and owns the tools it runs on including "shift-left" tooling that resolved issues before a ticket ever existed.
Head of Global Customer Engineering - Internal EDA Infrastructure NVIDIA CorpHead of Global Customer Engineering - Internal EDA InfrastructureAustin, TXGrow and develop the leaders running a globally distributed team of customer-facing engineers who own the reactive support queue for EDA infrastructure - escalating into service engineering with clean, high-quality signal. You've architected "self-healing" support ecosystems where a customer engineering team builds and owns the tools it runs on including "shift-left" tooling that resolved issues before a ticket ever existed.
Head of Infrastructure Security Engineering - EDA Clusters NVIDIA CorpHead of Infrastructure Security Engineering - EDA ClustersAustin, TXWe're hiring an engineering leader to build and run Infrastructure Security Engineering for EDA Clusters: the team responsible for implementing security controls across the compute, storage, and networking that NVIDIA's hardware engineers design silicon on, spanning on-prem data centers and multi-cloud environments. If your depth is in large-scale networking and compute infrastructure at a hyperscaler, a security product company, or anywhere fleets and fabrics are the day job and you've carried real accountability for the security properties of those systems, you are exactly who we want to talk to.
Senior Software Engineer - Cluster Networking NVIDIA CorpSenior Software Engineer - Cluster NetworkingCOWithin this mission, our team, Managed AI Research Superclusters (MARS), builds and scales the infrastructure, platforms, and tools that enable researchers and engineers to develop the next generation of AI/ML systems. Our platform runs frontier model training across tens of thousands of GPUs on multiple clouds, and we are scaling it toward clusters of ten thousand nodes and beyond.
Senior Software Engineer, GNN NVIDIA CorpSenior Software Engineer, GNNCAWhat we need to see: Bachelor's degree (or equivalent experience) plus 5 or more years of relevant experience in large-scale machine learning, deep learning, and general data science; or a Master's degree or PhD plus 3 or more years of relevant experience. Develop accelerated, PyTorch-based solutions for large-scale machine learning models, including GNNs, TFMs, and ensemble models, with a focus on efficient training and inference on GPU infrastructure.
Head of Infrastructure Security Engineering - EDA Clusters NVIDIA CorpHead of Infrastructure Security Engineering - EDA ClustersWAWe're hiring an engineering leader to build and run Infrastructure Security Engineering for EDA Clusters: the team responsible for implementing security controls across the compute, storage, and networking that NVIDIA's hardware engineers design silicon on, spanning on-prem data centers and multi-cloud environments. If your depth is in large-scale networking and compute infrastructure at a hyperscaler, a security product company, or anywhere fleets and fabrics are the day job and you've carried real accountability for the security properties of those systems, you are exactly who we want to talk to.
Global Account Manager - AI and Accelerated Computing Hardware Solution Implementation NVIDIA CorpGlobal Account Manager - AI and Accelerated Computing Hardware Solution ImplementationSanta Clara, CAThis 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 Product Marketing Manager, Local AI NVIDIA CorpSenior Product Marketing Manager, Local AISanta Clara, CAWhat we need to see: Bachelor's degree in Computer Science, Engineering, or a comparable technical field, or equivalent experience, together with 8+ years in technical product marketing, developer marketing, product management, entrepreneurship, or a similar role. Our Local AI platform combines accelerated hardware, AI software, models, runtimes, developer tools, and a broad ecosystem to deliver powerful AI experiences across PCs, workstations, and personal AI systems.
Head of Infrastructure Security Engineering - EDA Clusters NVIDIA CorpHead of Infrastructure Security Engineering - EDA ClustersCAWe're hiring an engineering leader to build and run Infrastructure Security Engineering for EDA Clusters: the team responsible for implementing security controls across the compute, storage, and networking that NVIDIA's hardware engineers design silicon on, spanning on-prem data centers and multi-cloud environments. If your depth is in large-scale networking and compute infrastructure at a hyperscaler, a security product company, or anywhere fleets and fabrics are the day job and you've carried real accountability for the security properties of those systems, you are exactly who we want to talk to.
Research Intern, Fundamental Generative AI - 2027 NVIDIA CorpResearch Intern, Fundamental Generative AI - 2027Santa Clara, CAWe have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our best-in-class engineering teams are rapidly growing. We are also actively pushing toward emerging gen AI for science applications such as structural biology, chemistry, drug discovery, climate modeling, and weather forecasting.
Senior Math Libraries Engineer - LLM Integration and Developer Experience NVIDIA CorpSenior Math Libraries Engineer - LLM Integration and Developer ExperienceTXLeading organizations globally are using GPU-powered data centers for AI, data analytics, and scientific simulations, driving advancements in fields like LLMs, computer vision, CAE, EDA, and autonomous vehicles. 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.
Manager, CUDA Driver NVIDIA CorpManager, CUDA DriverSanta Clara, CAThe team primarily works on aspects of the CUDA Driver related to its memory model - how to allocate, move, and access memory in a performant and efficient manner across NVIDIA's range of hardware offerings, including both single-node and multi-node environments. We design the CUDA programming model, expose that programming model through the CUDA Driver & CUDA Runtime APIs, and implement the associated functionality in the CUDA Driver & CUDA Runtime.
Senior Verification Engineer NVIDIASenior Verification EngineerUs, CaliforniaStrong hands-on expertise in UVM, SystemVerilog, Verilog, Python, and C/C++, with a passion for root-causing complex issues; experience with constrained-random stimulus, functional coverage, assertion-based verification, and C/C++-based testbenches — ideally on shipped silicon. Domain knowledge of display pipelines: protocols (DisplayPort, HDMI, MIPI DSI/CSI), MMU interaction with ISO clients, and system low-power features (clock gating, power domains, retention, entry/exit sequences).
Principal Software Engineer – CSP Engagements NVIDIAPrincipal Software Engineer – CSP EngagementsUs, CaliforniaAs a leader and technologist, you will play a pivotal role contributing significantly to the architecture and development of next-generation Data Center products, acting as the technical focal point for select CSP (Cloud Service Provider) and Hyperscalers. Drive system software architecture alignment and technical deep dives, acting as the primary software engineering contact for NPI projects with key customers.
Senior Software Engineer, CAD Tool Development - Circuits NVIDIASenior Software Engineer, CAD Tool Development - CircuitsUs, CaliforniaPassion and drive for continuous learning by exploring new technologies, sharing insights with teammates, and applying new knowledge to improve team outcomes. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4. You will also be eligible for equity and benefits .
Senior Manager, Engineering - Autonomous Vehicles NvidiaSenior Manager, Engineering - Autonomous VehiclesSanta Clara, CAAn 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 System Software Engineer, Agentic Kernel Development NVIDIASenior System Software Engineer, Agentic Kernel DevelopmentUs, CaliforniaDevelop the agentic knowledge layer and MCP-based infrastructure that allow agents to interact with internal developer systems (Gerrit, NVBugs, CI/CD, Perforce, Slack). Compose, build, and productize agentic AI systems that operate directly on GPU software artifacts — source code, crash dumps, changelists, test results, and CI/CD signals.
Senior Mask Design Engineer – Hardware NVIDIASenior Mask Design Engineer – HardwareUs, CaliforniaThis position will collaborate with Package Technical Lead and different design teams in designing and developing sophisticated, detailed layout of silicon interposers for NVIDIA products. The base salary range is 136,000 USD - 212,750 USD for Level 3, and 168,000 USD - 258,750 USD for Level 4. You will also be eligible for equity and benefits .
Senior GPU Architect - Performance and Yield Optimization NVIDIASenior GPU Architect - Performance and Yield OptimizationUs, CaliforniaEvaluate yield, performance, area, implementation cost, complexity, and product flexibility, then work across architecture, performance, design, silicon, Operations, and software to move selected proposals into production. BS, MS, or PhD in Computer Engineering, Computer Science, Electrical Engineering, or a related field, or equivalent experience, plus 10+ years in GPU, CPU, SoC, or complex processor architecture.
Custom SOC IP Verification Engineer NVIDIACustom SOC IP Verification EngineerAustin, CaliforniaYou will play a key role in verifying the correctness, performance, and compliance of on-chip fabrics and interconnect subsystems — from IP bring-up through full chip integration — ensuring robust and high-performance connectivity across complex SoC designs. Design and implement constrained-random and directed SystemVerilog testbenches targeting interconnect fabrics, network-on-chip (NoC) topologies, and multi-agent SoC integrations.