Drive NVIDIA's technical marketing for AI Factory scale-out architectures by evangelizing SpectrumX Ethernet, Quantum-X InfiniBand, ConnectX NICs, BlueField DPUs, and SuperPOD designs. Engage customers, CSPs, and analysts on large-scale datacenter networking, perform TCO/ROI analyses, and address high-density power, cabling, and thermal scaling challenges. Requires BS/MS or equivalent and 7+ years in AI data center networking, technical marketing, or solutions architecture.

Seeking a senior, highly technical Developer Relations Manager to consult with developers and partners on integrating NVIDIA’s Physical AI, Generative AI, and World Foundation Models. Role requires deep hands-on experience with LLMs/VLMs, model optimization (quantization, inference techniques), developer program leadership, and working with NVIDIA platforms (Omniverse, Cosmos, Isaac). Minimum ~8 years industry experience with 5+ years in relevant hands-on AI/Physical AI work is required.

Technical lead responsible for defining and implementing GenAI integration strategy with strategic ISV and CSP partners, building reference architectures and production LLM/RAG/multi-agent solutions using NVIDIA libraries and related tools, collaborating across Product, Engineering, Research and Solution Architecture. Requires 8+ years experience and deep hands-on AI/ML and cloud deployment expertise.

Lead developer relations efforts for agriscience verticals (seeds/traits, crop protection, plant nutrition, digital agronomy). Responsibilities include technical advising, enablement (sample code, demos, pipelines), partner onboarding and integration, mapping and growing the developer ecosystem, and collaborating with solution architects, engineering, product and marketing. Requires a Master’s/PhD or equivalent and a minimum of 8+ years in agriscience-related roles with 5+ years hands-on domain experience.

NVIDIA is seeking a Senior System Architect (GPU) to drive GPU architecture innovations across scalability, performance, power, area, and packaging trade-offs. The role involves benchmarking, building and maintaining performance simulators and models, collaborating with ASIC, VLSI, software and packaging teams, and requires strong experience in GPU/CPU system architecture, performance analysis, and data analysis (Python/Excel).

Seeking a Senior Mask Layout Design Engineer with 7+ years' experience performing physical layout for mixed-signal functions (PLLs, high-speed SerDes, ADCs, ESD) in submicron CMOS technologies. Must be experienced with Cadence Virtuoso, verification tools (Calibre, PrimeYield, Dracula, Hercules), DRC/LVS flows, and scripting (Perl, Python, Skill). Location indicated as US (Santa Clara) and remote options.

Join the storage management plane team to develop and maintain Kubernetes operators and a Container Storage Interface (CSI) plugin, and to build a web-based solution for operating and monitoring distributed storage. Requires B.Sc./M.Sc./Ph.D. or equivalent experience, 8+ years of web development experience, Node.js, Python/Bash scripting, and at least 5 years working in Linux. Location: US (Remote/Santa Clara). Posted salary ranges from 184,000 USD to 287,500 USD (Level 4) and 224,000 USD to 356,500 USD (Level 5). Applications accepted until July 2, 2026.

NVIDIA is hiring a Senior Deep Learning Software Engineer to design and build PyTorch components optimized for large GPU clusters and supercomputers. The role requires 3+ years in deep learning, proficiency in C++, strong systems and distributed/multithreading experience, and familiarity with GPU/CUDA and Python.

NVIDIA seeks a Senior Software Architect for an applied research team building systems-level software to move data between GPUs, nodes, and storage. The role requires 12+ years in systems software and/or networking, expertise in RDMA/InfiniBand/GPUDirect/NVLink, strong C++/Rust skills, and experience with ML system concepts and inference frameworks. Responsibilities include architecting communication libraries, profiling and optimizing data movement, integrating networking into AI stacks, and contributing to open-source projects.

NVIDIA seeks a technical Senior Product Manager to lead GPU-accelerated quantum chemistry math libraries (cuEST, cuEquivariance). Responsibilities include defining go-to-market strategy, creating enablement content (decks, blogs, whitepapers, webinars, demos), presenting to internal/external audiences, and collaborating with product, marketing, developer relations, sales, and PR. Requires 8+ years of product/technical experience, strong foundation in GPU computing/CUDA or parallel programming, familiarity with quantum chemistry/atomistic simulation and AI. Base salary range: 168,000–258,750 USD per year.

Senior engineer responsible for designing and executing performance benchmarks, characterizing large-scale AI training/inference and HPC workloads, building automation and monitoring tools, identifying bottlenecks across compute/memory/network/storage, and driving performance improvements. Requires M.S./Ph.D. or equivalent, 8+ years experience, strong profiling and system architecture skills, and proficiency with CUDA, Python, C++, Linux perf, and HPC networking technologies. Location indicated as US (Santa Clara) with remote option; salary range provided in posting.

Seeking a technical and strategic Developer Relations Manager to engage Global Systems Integrators, partners, and developer communities to accelerate adoption of NVIDIA AI/GPU platforms. Responsibilities include technical advising, enablement (sample code, guides, demos), onboarding/integration with partners, ecosystem mapping, and cross-functional collaboration. Requires a Bachelor’s/Master’s (or equivalent), 12+ years in technology with at least 5+ years hands-on in the candidate's ecosystem, and strong technical proficiency in HPC, cloud, and AI/ML.

Seeking a highly technical Developer Relations Manager to act as a trusted advisor to Global Systems Integrators and partners, driving adoption of NVIDIA AI/GPU platforms through technical enablement, integrations, and developer programs. Requires 12+ years in technology with strong experience in developer relations, technical partnerships, high-performance computing, cloud and AI/ML; hands-on experience with GPU/AI stacks (e.g., CUDA, Triton, NeMo, DOCA) is highlighted.

Role to partner with NVIDIA engineering, product, and sales to drive design wins in banking and consumer finance by performing proofs-of-concept, profiling and optimizing ML/DL models on NVIDIA GPUs, and building industry-specific collateral. Requires 12+ years as an ML/Software Engineer, BS/MS/PhD or equivalent experience, strong coding in Python and C++, and experience with ML/DL frameworks (TensorFlow, JAX, PyTorch, Spark, Dask). Base salary range stated: 224,000 USD - 356,500 USD per year.

Join NVIDIA's Clocks Team to own validation of clocking structures across Tegra and GPU products, including test-plan development, automation, validation flows, coverage metrics, test execution, and bug identification/productization. Requires BS/MS in EE/ECE or equivalent, 5+ years' industry experience, strong understanding of logic design, and expertise with SystemVerilog, UVM, formal verification, coverage, and scripting languages. Hybrid US-based role; salary range varies by level and location.

NVIDIA is hiring a research scientist to design and implement AI algorithms and models for general-purpose humanoid robots and embodied agents, develop large-scale training and inference methods, and optimize/deploy models in simulation and on robot hardware. Requires PhD (or equivalent), strong engineering and prototyping skills (PyTorch/JAX/TensorFlow), Python or C++, and experience with LLMs/multimodal/foundation models and/or robot learning and simulation frameworks. Position is US (remote) with Santa Clara listed; salary ranges are provided in the posting.

NVIDIA is hiring a Distinguished Engineer for the Dynamo engineering team to drive technology and product direction for data center-scale AI inference. The role requires 18+ years of systems software engineering experience, deep expertise in AI inferencing and production inference systems, proficiency in Rust/Python/Go, familiarity with cloud platforms (AWS/GCP/Azure), and strong technical leadership to improve resiliency, performance, and scalability.

Lead design and implementation of a unified multi-tier memory/storage layer and KV-cache systems for low-latency, high-throughput LLM inference. Requires 15+ years building large-scale distributed or storage systems, strong C/C++ and Python experience (Rust preferred), deep knowledge of GPU/host memory hierarchies, RDMA/GPUDirect/NVLink/NVMe-oF technologies, and experience integrating with LLM serving engines.

Role to design and implement an automation factory pipeline that converts AI models into validated, deployable NIM services across Cloud, On‑prem and Kubernetes. Responsibilities include infrastructure, pipelines, Docker builds, test harnesses, metrics, performance engineering and observability. Requires strong experience in distributed systems, containerization (Docker, K8s), CI/CD, cloud technologies and 8+ years of relevant experience; BS/MS in CS or equivalent preferred.

Lead day-to-day technical ownership of a tightly coupled GPU supercomputing environment integrated with physical quantum processors. Responsibilities include systems engineering, deployment, lifecycle management (Linux, job schedulers, networking, storage), partner collaboration, application enablement, and performance benchmarking. Requires 12+ years operating HPC or large-scale compute infrastructure and experience with GPU-accelerated systems, Python/C++, and familiarity with quantum hardware and software.