About the job
We are seeking an exceptional, technically strong, and highly motivated Technical Product Manager to drive NVIDIA's healthcare Physical AI simulation platform. This is a rare opportunity to build foundational enabling technologies at the intersection of physical AI, robotics, simulation, and healthcare, redefining how leading healthcare device and robotics companies develop, train, evaluate, and deploy next-generation Physical AI systems.
Responsibilities
Bring innovative physics simulation to healthcare; Define the product vision and strategy for healthcare Physical AI simulation; Develop PRDs with clear technical requirements, benchmarks, product metrics, and evaluation frameworks; Lead cross-functional execution across research, engineering, product, developer relations, marketing, and business development; Drive early-access partnerships with healthcare developers; Help build the horizontal NVIDIA stack to enable healthcare use cases; Ship an open, agent-ready platform; Engage developers and represent the work externally through conferences, developer blogs, workshops, and industry and standards discussions.
Qualifications
Minimum
5+ years of related 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 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; Excellent interpersonal skills, with the ability to articulate sophisticated technical concepts to developers, researchers, and industry partners; Graduate degree or equivalent experience in Computer Science, Mechanical Engineering, Robotics, Physics, or an equivalent.
Preferred
Hands-on experience developing computer-aided engineering (CAE) solutions, particularly using GPU-accelerated simulation technologies such as Warp, Newton, or PhysX; Background in healthcare robotics or medical device development, including an understanding of regulatory considerations around simulation, synthetic data, and in-silicon development; Deep expertise in physics-based simulation for medical device development and/or robot learning; Experience with world foundation models, generative simulation, or synthetic data generation; Publications, patents, or demonstrated technical contributions in robotics, simulation, Physical AI, medical robotics or medical device computational modeling