Develop and optimize large-scale simulation and RL infrastructure for training surgical robots. Build multimodal data pipelines, generate synthetic datasets, perform sim-to-real validation, and integrate simulation outputs into production ML pipelines. Deliver production-ready code, optimize GPU/inference/rendering performance, and collaborate with clinical advisors to iterate prototypes and deploy physical AI systems.