Nvidia Robotics Software Intern Sim2Real Deployment - Fall 

United States, California 

974052413

What you'll be doing:

• Implementing and testing robotic software stacks that run machine learning policies to control real robotic hardware: Humanoids.

• Collaborating with the team to refine machine learning policies for sim-to-real transfer.

• Improving policies and algorithms for mobility, loco-manipulation, whole-body control, and dexterous manipulation, pushing the limits of what robots can achieve.

• Learning professional software development methodologies in a commercial environment.

What we need to see:

• Currently pursuing an MS or PhD in Computer Science, Robotics, Engineering, or a related field.

• Experience creating and running robotics control software on physical robots.

• Proficiency in Python and C++ programming languages.

• Familiarity with common tools and libraries for robot learning (i.e. PyTorch, CUDA, middleware, physics simulation).

• Academic classes or coursework in machine learning, control and robotics systems.

Ways to stand out from the crowd:

• Previous internships or hands-on experience with robotic systems in a commercial or academic setting.

• Experience with NVIDIA robotics tools (Isaac Lab, Isaac Gym, Isaac ROS) and hardware (Jetson platform).

• Experience with legged or humanoid robots.

• Sim2real deployment experience on robots.

You will also be eligible for Intern