Robotics Software Engineer - Robot Simulation and Benchmarking

Overview

• In the NVIDIA Isaac team, we build tools that bring the power of the GPU to bear on one of today’s grand challenges: physical AI.
• 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 we all work together to advance the frontiers of accelerated computing.
• We’re looking for a software engineer to join our team to develop simulation tools built for scientists and companies that are using machine learning to solve the future of robotics.
• You'll join a team of robotics engineers who work at the intersection of simulation and machine learning.
• Our goal is to build the industry's leading tool for evaluating robot foundation models in simulation.
• This mission builds on NVIDIA's history of creating virtual worlds using its groundbreaking technology on photorealistic rendering and physics simulation technologies.
• What you'll be doing: Building simulation frameworks for training and evaluating robot foundation models on top of NVIDIA's Omniverse platform.
• Working as part of a high-paced software engineering team: design/code reviews, testing, continuous integration, deployment.
• Training and evaluating robot foundation models.
• Integrating modern LLM and agentic workflows into simulation and robotics workflows.
• Working with researchers to translate ideas from research into products that can scale to NVIDIA's user base.
• Keeping up to date with the state-of-the-art in robotics research.
• What we need to see: MSc, PhD degree or equivalent in Computer Science, Robotics, or a related field.
• 3+ years of experience in robotics and/or simulation.
• Experience in software design and working on a significant software project.
• Proficiency using Python and development experience with deep learning software stacks (Pytorch, Jax, etc.).
• Ways to stand out from the crowd: Publications and/or projects that demonstrate excellence in moving the needle in the field of robotics.
• Robot learning expertise with reinforcement learning and/or imitation learning, Physics simulation expertise.
• Experience with tools used in the NVIDIA robotics ecosystem (CUDA, warp, Isaac Lab, ROS).
• Developing and maintaining open-source projects.