ByteDance
Senior Research Scientist, Physical AI Infra
Seattle, Washington · Senior · Full-time · Posted Oct 28, 2026
- Experience
- 5 years of software engineering, machine learning systems, robotics, or related industry experience.
- 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
Builds and operates infrastructure for Physical AI, including platforms for robotics and multimodal model data, simulation, training, evaluation, inference, and deployment.
What you'll do
- Own the design, implementation, validation, and operation of major Physical AI platform components.
- Develop scalable infrastructure for training and serving multimodal and robotics models, and turn research ideas into production-ready capabilities.
- Lead complex technical projects through production adoption; collaborate across teams, mentor engineers, and contribute to shared standards.
What they ask for
- Bachelor's degree or above in a related technical field, or equivalent practical experience.
- Strong software and systems engineering fundamentals, including experience with 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 for multiple teams or external customers, or with real-world robot systems.
Tools
Isaac Lab, Isaac Sim, MuJoCo, Cosmos, vLLM-Omni, SGLang Omni, RLInf
AI focus
Infrastructure for Physical AI, including multimodal and robotics model training and serving, vision-language-action models, world models, robot policies, simulation, and deployment.
Model-written summary · the original posting is authoritative