Nvidia Software Engineering Intern Robot Learning Platform - Fall 

United States, California 

143956282

What you’ll be doing:

• Develop the next features for our platform, such asperception-in-the-loopreinforcement learning, learning from demonstration via tele-operation, and multi-agent training.
• Automate our workflows and scale them massively in the cloud, while ensuring the highest performance with extensive benchmarking.
• Collaborate with research and engineering teams all across NVIDIA, such as GEAR, to enable the next generation of humanoid robots.
• Engage with the robotics industrial and research communities.

What we need to see:

• Pursuing MS or PhD degree in Computer Science or related field.
• 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, imitation learning, motion planning, and trajectory optimization.

Ways to stand out from the crowd:

• Prior experience with Isaac Sim, Isaac Lab, Isaac Gym, or Mujoco.
• You have already trained a robot in simulation and deployed the policy sim-to-real.
• Publications in major AI and robotics conferences.

You will also be eligible for Intern