We are seeking a software engineer to join the Isaac Lab team and propel our flagship platform for robot learning to new heights. Our mission is to become the industry's leading tool, redefining how autonomous systems are trained and shaping the future of robotics and AI.
What you’ll be doing:
- Develop the next features for our platform, such as integration with Newton simulation, scalable perception-in-the-loop reinforcement learning and learning from demonstration via tele-operation.
- Participate in open source development of Isaac Lab, including engaging with the robotics industrial and research communities.
- Scale training massively in the cloud, while ensuring the highest performance with extensive benchmarking, profiling, and optimizations.
- Collaborate with research and engineering teams all across NVIDIA to enable research for the next generation of humanoid robots.
What we need to see:
- Pursuing MS or PhD degree in Computer Science or Mechanical Engineering or Robotics or equivalent program.
- Experience in software development with Python and the deep-learning software stack (Pytorch, Tensorflow, Jax, etc.).
- Experience with robotics and simulation workflows, including reinforcement learning and imitation learning in simulators such as Isaac Lab, Isaac Gym, MuJoCo, or other physics-based simulators.
Ways to stand out from the crowd:
- Prior experience and understanding of Isaac Sim and Isaac Lab.
- You have already trained a robot in simulation and deployed the policy sim-to-real.
- Publications in major AI and robotics conferences.
