Focus Multimodal Foundation Models · Representation Learning · Method Innovation We are looking for strong technical builders and researchers who deeply understand foundation models and representation learning beyond simply applying existing frameworks. Ideal candidates should have: Strong experimental rigor Solid systems and modeling intuition Hands‐on engineering ability Interest in scalable multimodal AI systems for real‐world autonomy We value people who can bridge research and production, and who care about robustness, scalability, efficiency, and practical deployment in large‐scale autonomous driving systems. Responsibilities 1. Large‐Scale Foundation Model Pretraining Develop scalable pretraining pipelines for large‐scale multimodal driving data Design and optimize training strategies for: Vision‐language‐action models Video foundation models Long‐context temporal modeling Multimodal representation alignment Improve: Training stability Data efficiency Scaling efficiency Repr...