# Senior or Principal Engineer - Physics Simulation

**Company**: NVIDIA
**Location**: Santa Clara, CA
**Experience**: senior
**Job type**: full-time
**Salary**: 224,000 USD – 356,500 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Research-Engineer--Simulation_JR1992366?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_5a1d9918-d82

## 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
- MuJoCo
- Isaac Sim
- PyBullet
- Drake
- Gazebo
- physics simulation
- robotics
- Computer Science
- Engineering

### Nice to have
- reinforcement learning
- neural network training
- autonomous driving
- humanoid robotics
- Tech Lead

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Research-Engineer--Simulation_JR1992366?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)