Robotics Research Engineer, Robot Simulation and Evaluation

What you'll do

• Build simulation frameworks for training and evaluating robot foundation models on the Omniverse platform.
• Design, implement, and evaluate novel algorithms for robot learning in partnership with research teams.
• Drive technical architecture and set evaluation standards for cross-team research and product initiatives.
• Perform software engineering tasks including design/code reviews, testing, continuous integration, and deployment.
• Train and evaluate robot foundation models within the simulation environment.
• Integrate modern LLM and agentic workflows into simulation and robotics pipelines.
• Translate research ideas into scalable Isaac Lab Arena capabilities for the user base.

What we're looking for

• 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.
• Proven track record of software design and translating research prototypes into production-ready software platforms.
• Proficiency using Python and development experience with deep learning software stacks like PyTorch or Jax.
• High-impact publications at top robotics and machine learning venues (preferred).
• Robot learning expertise with reinforcement learning and/or imitation learning (preferred).
• Deep expertise in GPU-accelerated physics simulation engines such as PhysX, Isaac Gym/Isaac Lab, or Newton (preferred).
• Experience with NVIDIA robotics ecosystem tools including CUDA, warp, Isaac Lab, and ROS (preferred).