Senior Software Engineer - Robotics Application

Nvidia • Santa Clara, CA

166d • $184,000 - $287,500

About The Position

NVIDIA's robotics Isaac is a fast-progressing effort inside the company and will have a decisive impact on the future of the robotics industry, including on humanoid robots. We are looking for self-motivated and innovative candidates to investigate approaches to large-scale mobile manipulation problems. NVIDIA is searching for a passionate and creative Senior Software Engineer to help build the next generation of embodied AI using Isaac Lab and Mimic! This is a rare opportunity to join a world-class team pushing the boundaries of robotics simulation, control, and learning in physically grounded, high-fidelity virtual environments. You'll work at the intersection of large-scale imitation learning, physics simulation, sim-to-sim and sim-to-real transfer — helping accelerate breakthroughs in generalizable robot behavior.

Requirements

• 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.).

Nice To Haves

• 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.

Responsibilities

• 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.

Benefits

• Equity and benefits.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Computer and Electronic Product Manufacturing
• Education Level: Master's degree