ByteDance
Tech Lead Research Scientist, Physical AI Infra
Seattle, Washington · Full-time · Posted Oct 28, 2026
- Experience
- 5 years of relevant industry experience; 3+ years as a tech lead.
- Education
- Bachelor’s degree or above in Computer Science, Computer Engineering, Robotics, Electrical Engineering, Artificial Intelligence, or a related technical field, or equivalent practical experience.
About the job
Leads the technical strategy and delivery of infrastructure for Physical AI, spanning data, simulation, training, evaluation, inference, and deployment.
What you'll do
- Set multi-quarter technical roadmaps and architecture for major Physical AI infrastructure areas.
- Lead cross-team engineering delivery and own one or more platform components through end-to-end outcomes.
- Track research and industry developments, contribute technical insights or software, and mentor engineers.
What they ask for
- Bachelor’s degree or above in a related technical field, or equivalent practical experience.
- 5 years of relevant industry experience and 3+ years as a tech lead.
- Deep expertise in at least one area: robotic learning; AI training and inference infrastructure; or robotics data and simulation systems, with working knowledge of one or more others.
- Experience taking complex systems from prototype through validation and production deployment.
Nice to have
- Contributions to relevant open-source projects, experience with large-scale AI or robotics platforms or real-world robot systems, or publications at leading conferences.
Tools
Isaac Lab, Isaac Sim, MuJoCo, Cosmos, vLLM-Omni, SGLang Omni, RLInf
AI focus
Builds infrastructure for Physical AI, including robotic learning, AI training and inference, robotics data and simulation, and deployment on heterogeneous hardware.
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