Opening for Physical AI Researcher - CA

Develop, train, and deploy machine learning models for general-purpose robots Implement and optimize algorithms in areas such as imitation learning, RL, diffusion policies, VLA, and navigation Collaborate with robotics engineers to integrate perception, control, and cognition into a unified system Conduct applied research that pushes Physical AI forward, with an emphasis on commercial viability Analyze performance, debug complex behaviors, and continuously improve model robustness in the real world

MS or PhD in EECS, Robotics, CS, AI, or a related field, or equivalent industry experience Strong background in machine learning, with applied work in robotics or embodied AI Experience with one or more of: Vision-Language Models (VLAs), imitation learning, diffusion policies, reinforcement learning, navigation Proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow) Track record of impactful projects, whether in academia, open-source, or industry Publications in top robotics conferences (ICRA, CoRL, RSS, IROS, etc.)

Why Join Us Own the whole research stack and be one of the principal architects of our humanoid platform instead of only working on a small fragment Shape the future of robotics and physical AI in a tight-knit, driven team that values ownership, speed, and creativity We have the capital, the hardware ownership, and the generational upside to make this your life’s work