NVIDIA
Senior Product Manager - Omniverse Rendering
$208K–$380K
US, CA, Santa Clara · Manager · Full-time · Posted Jun 29, 2026
- Experience
- 12+ years of overall experience; 5+ years in product management, technical product management, engineering, solution architecture, or related experience.
- Education
- BS or MS degree in Computer Science (or equivalent experience).
About the job
Drives product planning, roadmap definition, and execution for Omniverse rendering technologies, the ovrtx library, and sensor simulation workflows.
What you'll do
- Set product vision and roadmap for rendering capabilities, ovrtx, and sensor simulation workflows; translate customer needs into product requirements.
- Coordinate with engineering and AI, robotics, computer vision, and simulation teams on rendering, sensor fidelity, synthetic data, and model evaluation needs.
- Prioritize developer APIs, SDKs, tools, integrations, and workflows, and work with customers and partners to address adoption and production needs.
What they ask for
- BS or MS in Computer Science (or equivalent experience).
- Strong understanding of real-time rendering, ray tracing, path tracing, physically based rendering, or GPU-accelerated graphics.
- Experience with simulation workflows, synthetic data, robotics, autonomous systems, computer vision, digital twins, or industrial simulation.
- Understanding of AI/ML workflows such as model training, inference, evaluation, perception pipelines, or synthetic data generation.
Nice to have
- Experience with Omniverse, OpenUSD, RTX, ovrtx, Isaac Sim, Cosmos, CUDA, or related NVIDIA technologies.
- Familiarity with simulated sensor modalities or physical AI, embodied AI, robotics foundation models, VLMs, world models, neural rendering, or generative AI for 3D/world creation.
Pay
208,000 USD - 327,750 USD base salary (Level 5); 240,000 USD - 379,500 USD base salary (Level 6)
Tools
Omniverse, ovrtx, OpenUSD, RTX, Isaac Sim, Cosmos, CUDA
AI focus
Defines AI-ready simulation workflows for synthetic data generation, perception model evaluation, robotics simulation, autonomous systems validation, and digital twin testing; explores AI-assisted scene and workflow creation.
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