Robotics Research Engineer - Robot Simulation and Evaluation

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 an inclusive, encouraging environment where we all work together to advance the frontiers of accelerated computing.

We’re looking for a research 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.

In this role, you will drive cross-team collaboration between Isaac product engineering and NVIDIA Robotics research: translating research ideas into product-ready Isaac Lab Arena capabilities, bringing product and user feedback back into the research loop, and driving adoption with research users.

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.
• Partner directly with research to design, implement, and evaluate novel algorithms for robot learning.
• Driving technical architecture, setting evaluation standards, and cross-team leadership between Research and Product.
• 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 and product engineers to translate research ideas into Isaac Lab Arena capabilities 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:

• PhD degree in Computer Science, Robotics, or a related field (or equivalent experience).
• 8+ years of relevant industry or post-degree research engineering experience in robotics, simulation, or robot learning, with ability to translate research prototypes into product or platform capabilities.