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Nvidia Product Manager Simulation Framework Robot Learning 
United States, Texas 
565884792

26.08.2025
US, CA, Santa Clara
US, Remote
time type
Full time
posted on
Posted 14 Days Ago
job requisition id

What you'll be doing:

  • Lead the product strategy and roadmap, focusing on advancing our robotics simulation framework for robot learning.

  • Collaborate closely with engineering and research teams to integrate functional tools and algorithms into the Isaac Lab robot learning framework.

  • Engage with the robotics industrial and research communities for feedback and drive the adoption of our technologies.

  • Ensure seamless integration with NVIDIA Omniverse and Newton for high-fidelity simulations and drive requirements for efficient domain-specific performance.

  • Coordinate the collaboration across teams to uncover user difficulties, outline needs, and lead all aspects of the effective rollout of product features

What we need to see:

  • Bachelor's degree in Science, Robotics, Engineering, or a related field (or equivalent experience); Master's preferred.

  • 5+ years of experience related to product engineering, with a focus on robotics, AI, or related technologies.

  • Deep understanding and 5+ years of experience in robotics and simulation workflows, including reinforcement learning (RL), imitation learning, motion planning, and trajectory optimization.

  • Excellent communication and leadership skills, with the ability to work effectively with cross-functional teams.

  • Strong analytical skills and the ability to translate complex technical concepts into user-friendly features.

Ways to stand out from the crowd:

  • Proficiency with simulation tools, particularly NVIDIA Isaac Sim, and their application in robotics research and expertise in advanced robot learning algorithms.

  • Proficient with deep learning libraries such asPyTorch/TensorFlow/Jax.

  • Experience with real robot experiments and experienced with robot simulators such as Isaac Sim, Isaac Gym, MuJoCo, Sapien,

  • Experienced with robot learning techniques (reinforcement learning, imitation learning, etc.) and deep learning, model-based RL, trajectory optimization.

You will also be eligible for equity and .