Embodied AI Lead / Robot Brain Lead
Core
Designing and deploying the overall Embodied AI architecture (Robot Brain) for intelligent electric vehicles and robotics platforms, bridging vision-language-action models with visuomotor control.
Role type
Senior IC machine-learning engineer (robotics/embodied AI) with team leadership
Builds
Production-ready Robot Brain systems for locomotion, manipulation, and task planning on real robotic hardware
Domain
Automotive AI and Robotics
Deliverable
production ML models
Required skills
ML/robotics architecture design, VLM/LLM/VLA implementation, visuomotor control policies, world models, multi-GPU training (PyTorch/JAX), sim-to-real transfer, team leadership
Preferred skills
PhD in Robotics/AI, foundation models for robotics, scaling robot learning systems in production
Technologies
VLMs, VLAs, multimodal LLMs, PyTorch, JAX, diffusion policies, transformer policies, RL/BC hybrids
Responsibilities
Design Robot Brain architecture (System 1/2, world models), define technical roadmap, lead implementation on robot platforms, collaborate on control skills and data pipelines, define safety/evaluation protocols, hire and mentor a small team
Seniority
Senior, hands-on IC with team leadership
