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The Senior GPU Architect will innovate GPU architecture, enhance chip design infrastructure, develop tests, and collaborate on performance optimization, working closely with various functional teams.

Develop and validate SoC and GPU boot and security firmware across automotive, embedded, and data-center platforms. Participate in pre-silicon simulation to silicon bring-up, debug boot stack issues, and collaborate with architecture, software, and hardware teams to ship next-generation NVIDIA SoCs.

Develop and verify CPU SoC boot firmware for pre- and post-silicon platforms. Define and decompose functional and safety requirements, perform failure analysis (FMEA/DFA), implement secure boot features, collaborate across teams, and support silicon validation and productization.

Lead pre-silicon system software bring-up and validation on simulation platforms. Develop automation, tools, and workflows to improve simulation-based development, debug complex cross-stack issues, enable teams to use virtual platforms, and drive platform readiness for new chips in early-development environments.

As a GPU Verification Engineer, you will verify ASIC designs of NVIDIA GPUs, define verification scope, develop test plans, and collaborate with teams.

Lead developer and partner adoption of NVIDIA Cosmos 3 and related world foundation models across robotics. Advise engineering teams, drive ecosystem engagement, support product launches, accelerate partner workloads, and provide product feedback to inform roadmap and research priorities.

Lead partner adoption of the NVIDIA Isaac GR00T end-to-end robotics workflow. Advise robotic OEMs, ISVs, and research labs on architecture, model deployment to Jetson Thor, and integration of simulation, synthetic data, and post-training pipelines. Build expertise in NVIDIA robotics SDKs, influence product roadmaps with partner feedback, accelerate partner workloads, and track robotics and robot-learning trends to support product launches and ecosystem growth.

Senior software engineer on Developer Tools working across frontend and backend to design, implement, and ship profiling features for cloud and cluster environments. Collaborate with cross-functional teams, interact with users, and deliver end-to-end product features from prototypes to demos focused on collecting, analyzing, and visualizing performance data.

Design, deploy, and operate on-prem HPC storage supplemented by cloud. Build and automate distributed storage solutions, monitoring, and tooling; optimize performance and cost; document practices; collaborate with engineering teams to support data-intensive workloads and ensure reliable infrastructure operations.

Partner with industry and account teams to design and deliver NVIDIA-based AI, HPC, and GPU/networking solutions for industrial robotics. Engage customers and partners, produce technical documentation and samples, support deployments both in datacenters and at the edge, and lead technical engagements with lighthouse customers and solution partners.