Robotics Research Engineer - Robot Simulation and Evaluation
$184,000–$287,500 year
On-siteSanta Clara, California, United States
Job Summary
Build simulation frameworks for training and evaluating robot foundation models on NVIDIA's Omniverse platform. Partner with research to design, implement, and evaluate novel algorithms for robot learning while driving technical architecture and cross-team leadership between Research and Product. Translate research ideas into product-ready Isaac Lab Arena capabilities that scale to NVIDIA's user base, integrating modern LLM and agentic workflows into simulation and robotics pipelines. Maintain continuous integration, deployment, and code review processes within a high-paced software engineering team. Keep up to date with the state-of-the-art in robotics research to advance the industry's leading tool for evaluating robot foundation models in simulation.
Required Qualifications
- 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
- ability to translate research prototypes into product or platform capabilities
- Proven track record of software design and translating research prototypes into production-ready software platforms
- Proficiency using Python
- development experience with deep learning software stacks (Pytorch, Jax, etc.)
Desired Qualifications
- High-impact publications at top robotics and machine learning venues (e.g., CoRL, RSS, ICRA, NeurIPS)
- Robot learning expertise with reinforcement learning and/or imitation learning
- Deep expertise in GPU-accelerated physics simulation engines (e.g., PhysX, Isaac Gym/Isaac Lab, Newton)
- Experience with NVIDIA robotics ecosystem tools (CUDA, warp, Isaac Lab, ROS)
- Developing and maintaining open-source projects
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