Overview Lead the whole-body planning, control, and optimization stack for the Phoenix mobile manipulation robot. Architect and ship motion planners, trajectory optimization, and real-time controllers integrated with the Foundry Controller to enable safe, production-ready autonomous manipulation in fulfillment centers. Drive high-quality planner outputs for downstream foundation models and extend the Control Barrier Function safety architecture. Collaborate with multi-disciplinary teams to scale robotics capabilities across Amazon's fulfillment network.
Compensation / Benefits- health insurance
- 401(k) matching
- paid time off
- parental leave
- RSUs
- sign-on payments
Responsibilities- Design and deploy whole-body motion planning pipelines spanning mobile base, torso, arm, and end-effector
- Develop collision-free, time-efficient trajectories for the full kinematic chain
- Implement and tune real-time controllers (QP-based and model-predictive)
- Integrate planning and control with Foundry Controller mainline
- Ensure planner outputs meet downstream training data requirements for foundation models
- Extend and maintain CBF safety architecture from planning to execution
Key requirements- PhD in Robotics, Computer Science, Mechanical Engineering, or related field with 7+ years of post-degree research experience; or Master's with 12+ years of equivalent experience
- Experience developing and deploying real-time controllers on physical robotic hardware
- Ability to influence technical strategy across multiple teams and organizations
- strong collaboration across cross-functional teams
- clear technical communication
- solution-oriented mindset
- Python
- C++
- production-grade code
