Nvidia-posted 4 months ago
$184,000 - $287,500/Yr
Full-time • Senior
Santa Clara, CA
Computer and Electronic Product Manufacturing

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.

  • 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.
  • 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.).
  • 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.
  • Equity and benefits.
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