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NVIDIA

Senior Product Manager - Omniverse Rendering

NVIDIA is hiring a Senior Product Manager - Omniverse Rendering in Santa Clara, United States. It pays $208k-$328k a year and Level rates it ; you can apply on NVIDIA.

Level's read on this job

  • Works on AI ●●●○ is how Level rates this AI product manager role: the daily work is on AI products, without building the model.
  • Pay on this posting starts 17% higher than the typical AI product manager posting on Level.
  • The posting mentions AI evaluation and computer vision among its tools and skills.
  • Level classes it as a senior role.
  • NVIDIA has 2,700+ other open roles on Level.

AI in this role

ai-evaluationcomputer-vision

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 other objective job-related factors. The expected base salary ranges for this position are:
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 November 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.

How we rate this

Senior Product Manager - Omniverse Rendering at NVIDIA rates 71 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI EvaluationComputer vision

Also common in AI product manager jobs at this level

Pay

This job starts at
$208k
Typical AI product manager job
$178k

This posting starts 17% above the typical AI product manager job. See AI product manager jobs

Questions you could be asked

  1. How do you decide that one model's output is better than another's for a given task?
  2. Walk me through a computer vision problem you solved, from raw data to a deployed model.
  3. Describe a typical day in a role like this one: which parts run through AI directly?
  4. If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

  • List these exact terms on your resume: AI Evaluation and Computer vision. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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