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Senior Simulation Architect, Humanoid Robotics

NVIDIA ↗

📍 Shanghai, China 🇨🇳

full-time

senior

Expired

Posted —

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Key Skills

MuJoCoIsaacPythonC++Gazebo

Industry

RoboticsConsumer Electronics

Job Description

NVIDIA accelerates humanoid robots’ development with the Isaac solution and GR00T blueprint. We’re now looking for a robotics expert, especially in simulation to support this effort. As a Solutions Architect, you’ll collaborate with an exceptional and highly collaborative research team known for influential work in multimodal foundation models, large-scale robot learning, embodied AI, and physics simulation, pushing the frontier of humanoid robotics.

What You Will Be Doing

Develop and maintain simulation environments built on frameworks like MuJoCo, and Isaac Lab to support 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, ensuring successful sim2real transfer.
Implement Sim2Real pipelines and deploy learned models to physical robots.

What We Need To See

Bachelor’s degree in Computer Science, Robotics, Engineering, or a related field;
3+ years of full-time industry experience on robotics and/or physics simulation;
Proficiency in languages such as Python, C++, and experience with one or more physics simulators such as MuJoCo, Isaac Sim, PyBullet, Drake, or Gazebo.
Deep knowledge of state-of-the-art simulation techniques, such as accurate contact dynamics for manipulation and locomotion, and photorealistic rendering for perception.
Expertise in generating simulation assets, task definitions, and building Gym-style APIs to support neural network training.

Ways To Stand Out From The Crowd

Master’s or PhD’s degree in Computer Science, Robotics, Engineering, or a related field;
Experience at humanoid robotics companies on physics simulation;
Hands-on experience with deploying and debugging neural network models on robotic hardware;
Expertise at reinforcement learning and neural network training;
Demonstrated Tech Lead experience, coordinating a team of robotics engineers and driving projects from conception to deployment.

JR2000955