Tech Lead Research Scientist, Physical AI Infra

What you'll do

• Set the technical strategy and multi-quarter roadmap for major Physical AI infrastructure areas; translate requirements into architecture and execution plans.
• Lead architecture and delivery across engineers and partner teams, own platform components, and remain accountable for end-to-end technical outcomes.
• Track research and industry advances, contribute technical insights and software, and mentor engineers and technical leaders.

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; 3+ years as a tech lead.
• Deep expertise in at least one specified area—robotic learning, AI training and inference infrastructure, or robotics data and simulation systems—with working knowledge across one or more others.
• Experience taking technically complex systems from prototype through validation and production deployment.

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, working with real-world robot systems, or publishing at leading machine learning, systems, or robotics conferences.

Tools

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

AI focus

Physical AI infrastructure, including robotics learning, data and simulation platforms, distributed training and inference, evaluation, and deployment on heterogeneous hardware.