Technical Product Manager, Healthcare Physical AI Simulation - CA, Santa Clara, United States
$148,000 - $258,750 USD yearly
Originally posted 22 September 2026 by the employer.
Focus on healthcare Physical AI simulation and platforms like Warp, Newton, Isaac Sim, Isaac Lab, Omniverse, Cosmos, and PhysicsNeMo.
About the role
This role involves driving NVIDIA's healthcare Physical AI simulation platform. It focuses on integrating advances in physics simulation into enabling technologies for healthcare developers across robot learning, in-silicon product development, and in-silicon clinical trials.
What you'll do
- Define the product vision and strategy for healthcare Physical AI simulation, spanning classical physics-based and generative simulation.
- Develop PRDs with technical requirements, benchmarks, product metrics, and evaluation frameworks for simulation fidelity, scalability, policy performance, sim-to-real transfer, and developer efficiency.
- Lead cross-functional execution across research, engineering, product, developer relations, marketing, and business development to bring new simulation capabilities into open-source releases and production adoption.
- Drive early-access partnerships with healthcare developers, including robotics OEMs and MedTech companies, translating partner requirements into detailed platform features.
- Serve as the interface between Healthcare and NVIDIA's horizontal simulation technologies, including Warp, Newton, Isaac Sim, Isaac Lab, Omniverse, Cosmos, and PhysicsNeMo.
- Define modularity, installation, documentation, CI quality gates, and release cadence for an open, agent-ready platform.
What you'll need
- 5+ years of experience in product management or engineering, with hands-on experience in robotics, simulation, or related technical domains.
- Solid understanding of robotics and Physical AI, including robot learning, imitation learning, reinforcement learning, simulation, real-to-sim tuning, and sim-to-real transfer.
- Experience defining products or platforms involving simulation, synthetic data, digital twins, AI models, or developer tools.
- Ability to understand and translate complex technical concepts across physics simulation, generative AI, robotics, and healthcare into clear product strategy, requirements, and roadmaps.
- Proven track record to work with engineering and research teams to define roadmaps, prioritize technical investments, and deliver products.
- Experience working directly with customers, partners, or developers to identify requirements and drive adoption.
- Graduate degree or equivalent experience in Computer Science, Mechanical Engineering, Robotics, Physics, or an equivalent.
Skills: product manager, product strategy, simulation fidelity, robotics, Physical AI
This role has been open 0 days — well below the 40-day median for Product Management roles.
Product Management · AI ML Hardware
|
Open roles in category
68
|
Median days open
40 d
|
Median salary
$248k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | NVIDIA | All employers we track in this specialty (68 roles · 23 employers) |
|---|---|---|
| Open roles in this specialty | 18 | 68 |
| Median days open | 44 d | 40 d (+4 d vs this employer) |
| Median salary (USD postings) | — | $248k |
Skills observed across this category: product manager, product strategy, simulation fidelity, robotics, Physical AI
Who's hiring in this category
- NVIDIA (this employer) · 17 open roles · median 47 d
- AMD · 11 open roles · median 26 d
- Qualcomm · 9 open roles · median 42 d
- Micron Technology · 5 open roles · median 40 d
- Analog Devices · 3 open roles · median 11 d
- Intel Corporation · 2 open roles · median 11 d
How we counted: 68 open Product Management (AI ML Hardware) roles from 23 employers tracked in the SemiconductorJobs index, counted 23 Sept 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there. Figures refresh nightly.