Software Engineering Intern, Robot Learning Platform… at NVIDIA · US

Summary: NVIDIA is a leading technology company focused on AI and computing innovations. They are seeking a Software Engineering Intern for their Isaac Lab team to develop features for their robotic learning platform and engage with the robotics community. Responsibilities: - 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 - Build and improve the robot asset pipeline, importing URDF/MJCF models, authoring new environments, and validating physical fidelity against real-world hardware - Bridge the sim-to-real gap by working on domain randomization, system identification, and transfer techniques that move policies from simulation onto physical robots Required Qualifications: - Pursuing MS or PhD degree in Computer Science, Mechanical Engineering, Robotics, or similar program area - 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 Preferred Qualifications: - Experience training a robot in simulation and deployed the policy sim-to-real - Publications in major AI and robotics conferences Required Skills: Python, Deep learning frameworks, PyTorch, TensorFlow, JAX, Robotics, Simulation workflows, Reinforcement learning, Imitation learning, Isaac Lab, Isaac Gym, MuJoCo, Physics-based simulators Internship Start Date: Start in 2026 Fall Benefits: Intern benefits