Senior Systems Software Engineer, Kubernetes Node Lifecycle - DGX Cloud NVIDIASenior Systems Software Engineer, Kubernetes Node Lifecycle - DGX CloudSeattle, CaliforniaExamine, resolve, and determine underlying causes of node-layer faults in production NKE clusters, such as those involving image configuration, driver packaging, kubelet operation, and hardware activation, and review and optimize the node layer in real-world high-scale scenarios. Direct the building and refinement of CAPI providers for NVIDIA Kubernetes Engine, maintaining steady, consistent, and scalable node provisioning across DGX Cloud and NCP environments.
Senior Architect, Agentic AI for Marketing NVIDIASenior Architect, Agentic AI for MarketingUs, CaliforniaPartner with engineers to design reliable interfaces for agent invocation, tool execution, response formats, memory, state management, and integrations with marketing platforms, analytics systems, chat experiences, and content repositories. Translate business and marketing needs into practical agent architectures, including goals, tools, retrieval, memory, planning, human-in-the-loop workflows, evaluation criteria, and production operating models.
Senior Developer Marketing Manager, Consumer AI NVIDIASenior Developer Marketing Manager, Consumer AIUs, CaliforniaContent Strategy & Creation – Work closely with product marketing to generate marketing content, including blog posts, webinars, developer tutorials, and developer enablement assets to communicate the product value proposition. Developer Acquisition & Adoption – Build developer marketing programs and activations to acquire new developers and accelerate adoption of NVIDIA tools and products.
Senior Thermal Solutions Design Engineer NVIDIASenior Thermal Solutions Design EngineerUs, CaliforniaApply AI-enabled approaches and AI tools to accelerate design iteration, test planning, and characterization/validation triage (e.g., requirements/spec summarization, experiment prioritization, log/telemetry summarization, anomaly/outlier detection), improving cycle time, coverage, and traceability while validating outputs against physics, specs, and lab measurements. Experience applying modern data analytics/ML concepts to characterization data (trend analysis, outlier detection, regression/surrogate modeling, or experiment design/optimization) to reduce debug time and improve coverage.
ESD and Latch-up Test Engineer NVIDIAESD and Latch-up Test EngineerUs, CaliforniaMaintain, resolve problems in, and calibrate in-house test equipment, including ESD HBM testers, latch-up testers, CDM testers, 2-pin testers, and TLP testers. Debug marginal or failing pins, and work closely with Failure Analysis, Design, and Product teams to identify root causes and implement corrective actions.
SoC Verification Lead NVIDIASoC Verification LeadUs, CaliforniaCollaborate with architects, IP owners, emulation team, FPGA team, and infrastructure engineers to align on coverage goals, resolve bottlenecks, and ensure verification requirements are met at every project stage. Drive verification status reviews, track open issues across teams, and proactively bring up risks to project leadership with clear mitigation plans.
Senior Reliability Engineer NVIDIASenior Reliability EngineerUs, CaliforniaCollaborate with vendors to develop and implement improvements to burn-in boards, HTOL systems, and thermal interface materials. Apply sophisticated thermal management techniques to deliver detailed temperature control and mitigate thermal stress in HTOL environments.
Senior Technical Marketing Engineer, Enterprise AI Software NVIDIASenior Technical Marketing Engineer, Enterprise AI SoftwareUs, CaliforniaRefine developer, user, and agent journeys: Understand how developers, enterprise platform teams, partners, and customers, and their respective agents, consume NVIDIA AI software, then craft clear technical journeys supported by documentation, code examples, demos, and deployment guidance. The NVIDIA Enterprise Product Group builds AI solutions that help enterprises develop, deploy, and scale generative AI, agentic AI, retrieval-augmented generation, and accelerated data workflows from developers laptops to deployed in data centers, clouds, and AI factories.
Product Program Manager NVIDIAProduct Program ManagerUs, CaliforniaOur team takes pride in building a wide range of products — Data center related products, Jetson devices, industrial PCs, robotics platforms, automotive, consumer electronics, GPU cards, and more. 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 .
Solutions Architect, Industry Accounts NVIDIASolutions Architect, Industry AccountsUs, WashingtonCollaborating deeply with NVIDIA deep learning engineers, SDK product and framework teams, Deep Learning Institute (DLI), and NV Research to ensure developer enablement materials are best-in-class and fully aligned with technology roadmaps. We’re looking for energetic and creative software engineers who want to be on the cutting edge of AI technology and are passionate about helping the rapidly expanding community of developers and enterprise customers build the future.
Research Scientist, Efficient Deep Learning - New College Grad 2026 NVIDIAResearch Scientist, Efficient Deep Learning - New College Grad 2026Us, CaliforniaNVIDIA is searching for an outstanding researcher working on efficient deep learning to join the deep learning efficiency research team. Hands-on experience with large-scale model training including data preparation and model parallelization (tensor and pipeline) is required.
Senior Solutions Architect, AI Infrastructure NVIDIASenior Solutions Architect, AI InfrastructureAustin, TexasPractical knowledge of sophisticated networking for AI data centers, including, GPUs, CPUs, InfiniBand and Ethernet fabric topologies, PCIe, host networking and switches. We are looking for a networking savvy Solutions Architect to join the NVIDIA team focused on supporting accelerated networking for AI, Machine Learning, and HPC.
Circuit Design Engineer - New College Grad 2026 NVIDIACircuit Design Engineer - New College Grad 2026Us, CaliforniaMore 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. NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing.
Embedded Software Engineer - RISCV NVIDIAEmbedded Software Engineer - RISCVUs, CaliforniaDefine, design, develop and verify features for next-gen RISCV controllers on our GPU; collaborating with hardware engineers and fellow software engineers. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
Software R&D Engineer, RTL Optimization Tools NVIDIASoftware R&D Engineer, RTL Optimization ToolsAustin, CaliforniaExplore high performance algorithms for clustering, min cost tree covering (technology mapping), datapath implementation and other details of logic synthesis, especially that efficiently incorporate human insight. Experience with common EDA building blocks, such as Verific for Verilog parsing, Espresso for logic minimization, and various other components for logic rewriting, tree coverage, SAT solvers, and combinatorial optimization.
Solutions Architect, Financial Services Capital Markets NVIDIASolutions Architect, Financial Services Capital MarketsUs, New YorkPerform proof-of-concepts working side by side with clients, engineers, and other architects on in-depth analysis, profiling and optimization of machine learning/deep learning models to ensure the best performance on current- and next-generation GPU architectures. The Financial Services Solution Architect team is looking for an extraordinary person to join an experienced team of Quants and Data Scientists, engaging the finance industry with compelling examples of full-stack accelerated computing.
Engineering Manager, Data Labeling Platform NVIDIAEngineering Manager, Data Labeling PlatformUs, CaliforniaThe team develops and manages software that supports a high volume of active annotation projects across diverse research areas, like Nemotron, Cosmos, Robotics and Red teaming delivering a large quantity of annotations through NVIDIA's internal data operations and external annotation partners. Front-End & Annotation Interfaces: Direct front-end engineering for custom annotation interfaces across text, video, audio, speech, and document modalities, where off-the-shelf editors fall short and interaction design directly determines annotator throughput and error rate.
Senior Technical Product Manager – DGX Enterprise Infrastructure and Cloud-Native Operations NVIDIASenior Technical Product Manager – DGX Enterprise Infrastructure and Cloud-Native OperationsUs, CaliforniaEnterprise Data Center DNA: 12+ years demonstrated ability in Product Management,,with specific around on-premise infrastructure, private cloud, or large-scale systems management. As you define the NVIDIA Datacenter Experience, you will be positioned on a direct leadership track, with the explicit expectation to transition into formal people management as the team expands.
PhD Research Intern, Generative AI - 2026 NVIDIAPhD Research Intern, Generative AI - 2026Us, CaliforniaThe NVIDIA Cosmos Platform enables multimodal world understanding, simulation, synthetic data generation, and embodied reasoning. Train and evaluate large-scale models using video, image, language, and robotics or autonomous driving data.
Embedded Software Engineer - DPU Platform NVIDIAEmbedded Software Engineer - DPU PlatformWestford, MassachusettsUsing your expertise in embedded platforms, operating systems, and software distribution, you will work with an ambitious, international development team to solve challenges in delivering top-tier platforms. Strong desire to understand the system software stack, focusing on software/hardware interactions, including platform firmware, device drivers, Linux kernel, and user-space application performance.