Nvidia Senior Software Engineer - Robotics Application 

China, Shanghai 

895881932

What You’ll Be Doing:

• Design and implement scalable data generation pipelines using Isaac Lab and Omniverse for learning dexterous, high-DOF robotic tasks.

• Extend and optimize NVIDIA’s Isaac Lab/Mimic toolchain for large scale learning from demonstration.

• Collaborate with research scientists on cutting-edge problems such as imitation learning, motion retargeting, manipulation, and loco-manipulation.

• Integrate large-scale, GPU-accelerated training workflows leveraging NVIDIA’s AI and simulation infrastructure.

• Develop modular and reusable environments for benchmark robotic tasks across manipulation, locomotion, and loco-manipulation.

• Contribute to open-source initiatives or publish high-quality research and where appropriate.

What We Need to See:

• M.S. or Ph.D. in Robotics, Computer Science, Mechanical Engineering, or a related field, or equivalent experience.

• 4+ years of experience in simulation-based reinforcement learning or robotics software.

• Proficient in Python and C++, with experience in GPU programming or CUDA being a strong plus.

• Deep understanding of physics simulation tools (Isaac Gym, Mujoco, Bullet, or similar).

• Experience with motion imitation, pose tracking, or trajectory optimization using tools like Mimic or RL frameworks (e.g., IsaacRL, RLlib, Stable Baselines).

• Proven track record of delivering complex software projects or publishing at top-tier conferences (RSS, CoRL, ICRA, NeurIPS, etc.).

Ways to Stand Out from the Crowd:

• Experience developing and deploying sim-to-real policies on physical robot hardware.

• Contributions to open-source projects in the robotics, RL, or simulation ecosystems.

• Prior experience working with NVIDIA Isaac Gym/Isaac Sim and the Omniverse platform.

• Familiarity with large foundation models for vision or language, and how they can interface with embodied agents.

• Strong grasp of multi-agent reinforcement learning, curriculum learning, or hierarchical policy design.