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From the employer's careers site First seen 31 Oct 2026 · Still live on 3 Nov 2026

Senior or Principal Engineer - Physics Simulation

NVIDIA Santa Clara, CA senior full-time

Salary

224,000 USD – 356,500 USD per year

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Description

NVIDIA's Generalist Embodied Agent Research (GEAR) group is seeking a senior or principal engineer specializing in physics simulation. You will work on Project GR00T, a moonshot initiative for humanoid robots, with a team that produces influential works on multimodal foundation models, large-scale robot learning, embodied AI, and physical simulation.

Responsibilities:

  • Develop and maintain simulation environments using frameworks like MuJoCo and Isaac Lab for robotics research.
  • Implement and test control algorithms and XR teleoperation interfaces for simulated robots.
  • Build procedural generation pipelines for diverse environments, object layouts, and robot motions.
  • Optimize GPU-based physics simulator performance for large-scale training workloads.
  • Import, configure, and validate robot assets in USD format for successful sim2real transfer.
  • Implement Sim2Real pipelines and deploy learned models to physical robots.

Requirements:

  • Bachelor's degree or above in Computer Science, Robotics, Engineering, or a related field.
  • 10+ years of full-time industry experience in robotics and/or physics simulation.
  • Proven experience with physics simulators like MuJoCo, Isaac Sim, PyBullet, Drake, or Gazebo.
  • Deep knowledge of state-of-the-art simulation techniques, including accurate contact dynamics and photorealistic rendering.
  • Expertise in generating simulation assets, task definitions, and building Gym-style APIs for neural network training.

Preferred Qualifications:

  • Master's or PhD in Computer Science, Robotics, Engineering, or a related field.
  • Experience at autonomous driving or humanoid robotics companies on physics simulation.
  • Hands-on experience with deploying and debugging neural network models on robotic hardware.
  • Expertise in reinforcement learning and neural network training.
  • Demonstrated Tech Lead experience, coordinating a team of robotics engineers and driving projects from conception to deployment.
  • Contributions to popular open-source simulation frameworks or research publications in top-tier conferences.

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 224,000 USD – 356,500 USD. You will also be eligible for equity and benefits.

Skills

Required

Nice to have

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