Robotics Software Engineer - Robot Simulation and Benchmarking
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.
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