Software Engineering Intern, Robot Learning Platform - Summer 2026

Details

Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work.

We are seeking a software engineer intern 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.

Responsibilities

• Develop the next features for the platform, including 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 and engage with the robotics industrial and research communities.
• Scale training massively in the cloud while ensuring high performance via benchmarking, profiling, and optimizations.
• Collaborate with research and engineering teams across NVIDIA to enable research for next-generation humanoid robots.

Requirements

• Currently pursuing an MS or PhD degree in Computer Science, Mechanical Engineering, Robotics, or an 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.
• Interest in scaling training in cloud environments and in performance engineering (benchmarking, profiling, optimizations).

Ways to stand out

• 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.

Benefits / Compensation

• Internship hourly rate range: 20 CAD - 63 CAD (actual pay based on position, location, year in school, degree, and experience).
• Eligible for NVIDIA intern benefits (see: https://www.nvidia.com/en-us/benefits/interns/).
• Applications accepted at least until December 12, 2025.