- 12+ overall years of product management experience, with a strong track record of delivering complex technical platform products at scale.
- 4+ years in a senior or director-level PM role, with demonstrated experience leading and growing high-performing PM teams.
- Deep understanding of autonomous driving development workflows—including sensor data pipelines, closed-loop simulation, synthetic data generation, and safety validation methodologies.
- Hands-on familiarity with neural reconstruction, 3D Gaussian Splatting, or sensor simulation techniques, with the technical depth to engage credibly with research and engineering teams.
- Demonstrated ability to build multi-year product strategy in a fast-moving, high-ambiguity environment, and to drive cross-functional execution against that strategy.
- Outstanding communication and stakeholder management skills, with a proven ability to influence and align across engineering, research, business development, and external partners.
- Experience building developer or enterprise platform products, with a clear understanding of how to grow adoption through APIs, SDKs, and open ecosystems.
- BSc or MSc in Computer Science, Electrical Engineering, Robotics, or a related technical discipline, or equivalent experience.
Ways to Stand Out from the Crowd
- Direct experience owning or contributing to a simulation platform at an AV company, OEM, or AV software developer—ideally across the full stack from scene reconstruction to closed-loop evaluation.
- Working knowledge of NVIDIA's AV simulation ecosystem, including NuRec, Cosmos, AlpaSim, or the Alpamayo model family.
- Familiarity with sim-to-real transfer challenges and the techniques—domain randomization, neural rendering, real-to-sim pipelines—used to close the gap between simulation and physical deployment.
- Experience with reinforcement learning workflows in simulation, including policy post-training and closed-loop RL frameworks such as AlpaGym.
- A track record of building developer ecosystems around simulation or physical AI platforms, including open-source programs, partner integrations, and community-driven adoption.
#AutonomousVehicles
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 272,000 USD – 425,500 USD.
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.