Sr. Software Development Manager, Frontier AI Robotics
Amazon · San Francisco, CA · Software Development
About this role
Amazon is hiring a manager-level Engineering Manager in the software engineering function based in San Francisco, CA. The posting calls out experience with Python, PyTorch, Reinforcement Learning, Agile and roughly 10+ years of relevant work. Compensation is listed at $253,100–$342,300 per year.
- Role
- Engineering Manager
- Function
- software engineering
- Level
- manager
- Track
- hybrid
- Employment
- Full-time
- Location
- San Francisco, CA
- Experience
- 10+ years
- Department
- Software Development
- Posted
- Apr 2, 2026
More roles at Amazon
Job description
from Amazon careersIn 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, model experimentation, and continuous integration About the team At Frontier AI Robotics, we're not just advancing robotics – we're reimagining it from the ground up. Our team is building the future of intelligent robotics through frontier foundation models and end-to-end learned systems. We tackle some of the most challenging problems in AI and robotics, from developing sophisticated perception systems to creating adaptive manipulation strategies that work in complex, real-world…