Job description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. NVIDIA is seeking a Product Manager to drive product planning, roadmap definition, and execution for Omniverse rendering technologies, the ovrtx library, and sensor simulation workflows. This role sits at the intersection of real-time rendering, physically based simulation, synthetic data generation, robotics, autonomous systems, industrial digital twins, and physical AI. You will help develop the rendering and sensor simulation foundation that enables developers and enterprises to build high-fidelity virtual worlds, generate useful synthetic data, evaluate perception systems, and validate AI models before deployment in the real world. What You’ll Be Doing: • Drive the product vision and roadmap for Omniverse rendering capabilities, ovrtx, and sensor simulation workflows. • Define AI-ready simulation workflows for synthetic data generation, perception model evaluation, robotics simulation, autonomous systems validation, and digital twin testing. • Translate customer needs into clear product requirements for rendering quality, sensor fidelity, performance, scalability, usability, and workflow integration. • Partner with engineering teams on path tracing, ray tracing, materials, lighting, camera models, sensor realism, annotation outputs, and simulation pipeline architecture. • Work with AI, robotics, computer vision, and simulation teams to align rendering and sensor simulation capabilities with model training, inference, testing, and evaluation needs. • Drive roadmap requirements for scenario coverage, domain randomization, sensor configuration, sim-to-real validation, dataset generation, and automated quality checks. • Explore AI-assisted workflows for scene generation, material authoring, lighting setup, sensor configuration, scenario creation, and developer productivity. • Prioritize features across developer APIs, SDKs, tools, documentation, examples, integrations, and reference workflows. • Work closely with customers, field teams, and ecosystem partners to understand production problems, adoption blockers, and emerging use cases. What We Need To See: • BS or MS degree in Computer Science (or equivalent experience) with 12+ years of overall experience. • 5+ years of product management, technical product management, engineering, solution architecture, or related 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. • Proven understanding of AI/ML workflows such as model training, inference, evaluation, perception pipelines, or synthetic data generation. • Ability to translate AI, robotics, and autonomous systems requirements into rendering, sensor simulation, and developer platform priorities. • Experience working with APIs, SDKs, developer tools, technical customers, and engineering-led product teams. • Strong technical communication skills, including writing product requirements, roadmap narratives, workflow documentation, and launch materials. • Consistent record to prioritize across complex technical domains and drive execution with multi-functional teams. Ways To Stand Out From The Crowd: • Experience with Omniverse, OpenUSD, RTX, ovrtx, Isaac Sim, Cosmos, CUDA, or related NVIDIA simulation and rendering technologies! • Familiarity with camera, LiDAR, radar, depth, segmentation, optical flow, event camera, or other simulated sensor modalities. • Experience with physical AI, embodied AI, robotics foundation models, VLMs, world models, neural rendering, or generative AI for 3D/world creation. • Background in graphics, computer vision, robotics, simulation, game engines, high-performance computing, or AI infrastructure. • Familiarity with AI-assisted development workflows, coding agents, automated testing, evaluation harnesses, or workflow automation. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 208,000 USD - 327,750 USD for Level 5, and 240,000 USD - 379,500 USD for Level 6. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 3, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Requirements

Must-haves

NVIDIA is seeking a Product Manager to drive product planning, roadmap definition, and execution for Omniverse rendering technologies, the ovrtx library, and sensor simulation workflows.
Drive the product vision and roadmap for Omniverse rendering capabilities, ovrtx, and sensor simulation workflows.
Define AI-ready simulation workflows for synthetic data generation, perception model evaluation, robotics simulation, autonomous systems validation, and digital twin testing.
Translate customer needs into clear product requirements for rendering quality, sensor fidelity, performance, scalability, usability, and workflow integration.
Partner with engineering teams on path tracing, ray tracing, materials, lighting, camera models, sensor realism, annotation outputs, and simulation pipeline architecture.
Work with AI, robotics, computer vision, and simulation teams to align rendering and sensor simulation capabilities with model training, inference, testing, and evaluation needs.
Drive roadmap requirements for scenario coverage, domain randomization, sensor configuration, sim-to-real validation, dataset generation, and automated quality checks.
Explore AI-assisted workflows for scene generation, material authoring, lighting setup, sensor configuration, scenario creation, and developer productivity.
Prioritize features across developer APIs, SDKs, tools, documentation, examples, integrations, and reference workflows.
Work closely with customers, field teams, and ecosystem partners to understand production problems, adoption blockers, and emerging use cases.
BS or MS degree in Computer Science (or equivalent experience) with 12+ years of overall experience.
5+ years of product management, technical product management, engineering, solution architecture, or related 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.
Proven understanding of AI/ML workflows such as model training, inference, evaluation, perception pipelines, or synthetic data generation.
Ability to translate AI, robotics, and autonomous systems requirements into rendering, sensor simulation, and developer platform priorities.
Experience working with APIs, SDKs, developer tools, technical customers, and engineering-led product teams.
Strong technical communication skills, including writing product requirements, roadmap narratives, workflow documentation, and launch materials.
Consistent record to prioritize across complex technical domains and drive execution with multi-functional teams.
Experience with Omniverse, OpenUSD, RTX, ovrtx, Isaac Sim, Cosmos, CUDA, or related NVIDIA simulation and rendering technologies!
Familiarity with camera, LiDAR, radar, depth, segmentation, optical flow, event camera, or other simulated sensor modalities.
Experience with physical AI, embodied AI, robotics foundation models, VLMs, world models, neural rendering, or generative AI for 3D/world creation.
Background in graphics, computer vision, robotics, simulation, game engines, high-performance computing, or AI infrastructure.
Familiarity with AI-assisted development workflows, coding agents, automated testing, evaluation harnesses, or workflow automation.

Nice-to-haves

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Keywords to mirror

aiml

Platform: eightfold
Effort: medium

Benefits

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Vision