Senior Product Manager - Omniverse Sensor Simulation
NVIDIA is hiring a Senior Product Manager - Omniverse Sensor Simulation in Berlin, Germany. It pays €131k-€227k a year and Level rates it ; you can apply on NVIDIA.
Level's read on this job
- Level rates this AI product manager role Works on AI ●●●○: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include AI evaluation and computer vision.
- Level classifies it as a senior role.
- Level lists 2,800+ other open roles at NVIDIA.
- The role was posted in the last few days.
AI in this role
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 an inclusive, 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.
Become part of NVIDIA's groundbreaking team in Berlin, Germany, as a Senior Product Manager for Omniverse Sensor Simulation! NVIDIA has driven innovation for over 25 years in computer graphics, PC gaming, and accelerated computing. Today, we are changing the future of AI by improving how computers, robots, and autonomous vehicles interpret their surroundings. This position presents an outstanding opportunity to engage with real-time rendering, physically based simulation, and synthetic data generation, advancing robotics and autonomous technologies.
What you'll be doing:
- Lead the product vision and planning for Omniverse sensor simulation capabilities, including lidar, radar, time-of-flight, and others.
- Develop AI-prepared 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 sensor fidelity, performance, scalability, usability, and workflow integration.
- Partner with engineering teams on sensor models, fidelity, testing and validation, and simulation pipeline architecture.
- Coordinate sensor simulation capabilities alongside AI, robotics, computer vision, and simulation teams for 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, sensor configuration, scenario creation, and developer efficiency.
- Prioritize features across developer APIs, SDKs, tools, documentation, examples, integrations, and reference workflows.
- Collaborate 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.
- Proven knowledge of lidar, radar, time-of-flight, and ultrasonic sensors, their application in robotics suites, and techniques for simulating them.
- Proven knowledge of AI/ML workflows including model training, inference, evaluation, perception pipelines, or synthetic data generation.
- Capability to convert AI, robotics, and autonomous systems needs into priorities for rendering, sensor simulation, and developer platforms.
- 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.
- Background in robotics, simulation, or high-performance computing.
- 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:131,175 EUR – 227,370 EUR for Level 5; and 159,225 EUR – 275,990 EUR for Level 6.
How we rate this
Senior Product Manager - Omniverse Sensor Simulation at NVIDIA rates 69 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.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ 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
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Skills and AI tools this role asks for
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Pay
- Typical AI product manager job
- $178k
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Questions you could be asked
- How do you decide that one model's output is better than another's for a given task?
- Walk me through a computer vision problem you solved, from raw data to a deployed model.
- Describe a typical day in a role like this one: which parts run through AI directly?
- If you removed AI from this role, what would be left, and how do you decide what still needs a human?
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- 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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