Technical Product Manager, Healthcare Physical AI Simulation

Nvidia

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$148,000–$224,250 / yr
Posted
2 days ago
Freshness
Confirmed live today

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Competitive pay

How this pay compares to similar roles

Similar $205k
This role $186k
$137k most similar roles pay here $251k

This role pays less than 64% of similar roles. Most pay $175,500–$235,487 — the shaded band above. At the midpoint, this role pays about $186k versus about $205k for comparable roles.

Based on 240 similar postings.

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About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 879 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 859 roles with salary data.

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At a glance

TL;DR · Technical Product Manager, Healthcare Physical AI Simulation

Technical Product Manager, Healthcare Physical AI Simulation joins the team to drive a healthcare Physical AI simulation platform at the intersection of robotics and medical device development. This role involves defining product vision and strategy for both classical physics-based and generative simulation technologies. The manager will develop PRDs with technical requirements, benchmarks, and evaluation frameworks for simulation fidelity, scalability, and sim-to-real transfer. Key responsibilities include leading cross-functional execution across research and engineering to move capabilities into production, managing early-access partnerships with robotics OEMs, and translating partner feedback into platform features. The role requires expertise in robot learning, reinforcement learning, synthetic data, and digital twins. Candidates will work with tools like Warp, Newton, Isaac Sim, Isaac Lab, Omniverse, Cosmos, and PhysicsNeMo to solve complex challenges in in-silicon product development and clinical trials for healthcare providers.

What does a Technical Product Manager earn?

Median $174950 from 31 postings across 14 companies.

See salary data

What you'll do

  • Define the product vision and strategy for healthcare Physical AI simulation across physics-based and generative technologies.
  • Develop PRDs with technical requirements, benchmarks, and evaluation frameworks for simulation fidelity and sim-to-real transfer.
  • Lead cross-functional teams to move new simulation capabilities from research into open-source releases and production.
  • Manage early-access partnerships with healthcare developers, robotics OEMs, and MedTech companies.
  • Translate partner feedback and requirements into detailed platform features and technical roadmaps.
  • Act as the primary interface between healthcare needs and NVIDIA’s horizontal simulation technologies like Isaac Sim and Omniverse.
  • Influence internal roadmaps to determine when to upstream capabilities or build healthcare-specific extensions.
  • Ensure the platform is agent-ready by defining modularity, documentation, and CI quality gates for developer tools.

What we're looking for

  • 5+ years of experience in product management or engineering within robotics, simulation, or related technical domains.
  • Solid understanding of Physical AI, including robot learning, imitation learning, reinforcement learning, and sim-to-real transfer.
  • Experience defining products or platforms involving simulation, synthetic data, digital twins, AI models, or developer tools.
  • Ability to translate complex technical concepts across physics simulation, generative AI, robotics, and healthcare into product strategy and roadmaps.
  • Proven track record of collaborating with engineering and research teams to prioritize investments and deliver products.
  • Experience working with customers or partners to identify requirements and drive adoption.
  • Graduate degree or equivalent experience in Computer Science, Mechanical Engineering, Robotics, Physics, or a related field.
  • Experience with CAE solutions, healthcare robotics, world foundation models, or technical publications/patents (preferred).

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