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. 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. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you are creative and autonomous, we want to hear from you!