Senior Research Scientist, Physical AI Infra

What you'll do

• Own design, implementation, validation, and operation of major Physical AI platform components.
• Develop scalable infrastructure for training and serving robotics and multimodal models, and bring research capabilities into production.
• Lead complex technical projects and collaborate with teams, mentor engineers, and contribute to shared architecture and standards.

What they ask for

• Bachelor's degree or above in a related technical field, or equivalent practical experience.
• 5 years of software engineering, machine learning systems, robotics, or related industry experience.
• Experience designing, building, and operating production-scale distributed or data-intensive systems.
• Deep expertise in at least one area: robotic learning; AI training and inference infrastructure; or robotics data and simulation systems.

Nice to have

• Contributions to relevant open-source projects such as Isaac Lab, Isaac Sim, MuJoCo, Cosmos, vLLM-Omni, SGLang Omni, or RLInf.
• Experience building large-scale AI or robotics platforms, or working with real-world robot systems.

Tools

Isaac Lab, Isaac Sim, MuJoCo, Cosmos, vLLM-Omni, SGLang Omni, RLInf

AI focus

Develops infrastructure for Physical AI, including data and simulation platforms, distributed training and inference, and deployment on heterogeneous hardware for multimodal and robotics models such as vision-language-action models, world models, and robot policies.