2027 Stanford Career Fair Internship Position

About General Intelligence Center: Technical Highlights - Cutting-Edge Physical AI Technology – Leveraging state-of-the-art techniques—including large-scale foundation model training, simulation-driven physical AI, multimodal pretraining, and reinforcement learning —to deliver an autonomous system that is robust and adaptive in real-world scenarios. - End-to-End Autonomous Driving and Intelligent Cabin – Designed to achieve unmatched safety and intelligence, while redefining industry standards and setting new benchmarks in intelligent mobility. - Large-Scale Training and Inference AI Infrastructure – Scalable and efficient AI infrastructure that enables large foundation model training and supports a high-performance inference engine for real-time autonomous decision-making. Career Pathways - Hiring across AI and Machine Learning (e.g., foundation models, pretraining, VLA, VLM, LLM, RL), AI Infrastructure, and Software Engineering roles. About Robotics Center: Technical Highlights - Robotics Foundation Models – Building world foundation models for whole-body intelligence. - Physical Agents – Building self-evolving embodied agents that can perceive, reason, plan, and act robustly in complex real-world environments. - Manipulation – Advancing loco-manipulation and dexterous manipulation, while tackling key challenges in tactile intelligence and VLA scaling. - Locomotion & Whole-Body Control – Advancing human-like locomotion (e.g., RL controllers) and whole-body control. Career Pathways - Hiring across AI and Machine Learning (e.g., World Models, Behavior Foundation Models, VLA, RL) and Motion Control roles.