Robotics Scientist — Whole-Body Control & AI

Amazon; Omaha, Northern (NE, KY); Hybrid; USD 143,000 - 193,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon is seeking exceptional talent to develop the next generation of advanced robotics systems that transform automation at scale. You will work on real-time controllers for dexterous manipulation and locomotion, integrating AI, control theory, and mechanical design.

The role involves mentoring engineers and collaborating with multi-disciplinary teams to co-design hardware and algorithms, advancing research from theory to practical deployment in robotic systems.

Qualifications

• PhD, or Master’s degree and 2+ years of CS, CE, ML or related field experience.
• Experience with imitation learning and reinforcement learning for whole-body control.
• Experience with methods such as hierarchical quadratic programming and model-predictive control.
• Experience with simulation environments such as IsaacLab, Mujoco, Drake, etc.
• Experience with developing and deploying code for real-time controllers.
• Experience in state estimation from multiple sensor modalities.

Responsibilities

• Design and implement whole body control methods for balance, locomotion, and dexterous manipulation.
• Utilize state-of-the-art methods in learned and model-based control.
• Create robust and safe behaviors for different terrains and tasks.
• Implement real-time controllers with stability guarantees.
• Collaborate effectively with multi-disciplinary teams to co-design hardware and algorithms for loco-manipulation.
• Mentor junior engineer and scientists.

Skills

Imitation learning

Reinforcement learning

State estimation

Real-time control

Education

PhD or Master’s + 2 years in CS/CE/ML

Tools

IsaacLab

MuJoCo

Drake

ROS

Job description

Amazon is seeking exceptional talent to develop the next generation of advanced robotics systems that transform automation at scale. You will work on real-time controllers for dexterous manipulation and locomotion, integrating AI, control theory, and mechanical design.

The role involves mentoring engineers and collaborating with multi-disciplinary teams to co-design hardware and algorithms, advancing research from theory to practical deployment in robotic systems.