Key job responsibilities
Design and implement whole body control methods for balance, locomotion, and dexterous manipulation
Utilize state-of-the-art in 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
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
Experience in Java, C++, Python, or a related language
Experience working effectively across cross-functional teams and partnering well with people at all levels within an organization
PhD in Robotics, with a focus on whole-body control
Experience with low-level joint torque/impedance control
Experience with teleoperation systems
Experience with robotics frameworks for fast prototyping (Matlab, ROS, etc.)
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The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, MA, N.Reading - 142,800.00 - 193,200.00 USD annually