In this role, you'll combine hands-on technical work with leadership, ensuring your team delivers the best environment to develop robust physical AI solutions for dynamic real-world environments. You'll leverage Amazon's vast computational resources to tackle ambitious problems in areas like very large multi-modal robotic foundation models and efficient, promptable model architectures that can scale across diverse robotic applications.

Key job responsibilities
* You will lead the ML infrastructure team to create model training and simulation environment for developing large robotics foundational models for reasoning, perception, locomotion, and manipulation.
* Work together with AI researchers to implement and optimize training of new model architectures at a large scale
* Define roadmap and build physics realistic simulation environment for reinforcement learning, closed-loop simulations and synthetic data generation.
* Implement tooling for data creation, mo...