Senior Applied Scientist, Locomotion, Amazon Industrial Robotics

Amazon.com, Inc.•North Reading, MA

27d

About The Position

Amazon Industrial Robotics is seeking exceptional talent to help develop the next generation of advanced robotics systems that will transform automation at Amazon's scale. We're building revolutionary robotic systems that combine cutting-edge AI, sophisticated control systems, and advanced mechanical design to create adaptable automation solutions capable of working safely alongside humans in dynamic environments. This is a unique opportunity to shape the future of robotics and automation at an unprecedented scale, working with world-class teams pushing the boundaries of what's possible in robotic dexterous manipulation, locomotion, and human-robot interaction. This role presents an opportunity to shape the future of robotics through innovative applications of deep learning and large language models. At Amazon Industrial Robotics we leverage advanced robotics, machine learning, and artificial intelligence to solve complex operational challenges at an unprecedented scale. Our fleet of robots operates across hundreds of facilities worldwide, working in sophisticated coordination to fulfill our mission of customer excellence. The ideal candidate will contribute to research that bridges the gap between theoretical advancement and practical implementation in robotics. You will be part of a team that's revolutionizing how robots learn, adapt, and interact with their environment. Join us in building the next generation of intelligent robotics systems that will transform the future of automation and human-robot collaboration.

Requirements

PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
Strong foundation in robot dynamics and control theory
Experience with model-predictive control and reinforcement learning for locomotion
Experience with simulation environments such as IsaacLab, Mujoco, Drake, etc.
Experience with developing and deploying code for real-time controllers

Nice To Haves

Experience programming in Java, C++, Python or 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 legged motion
Experience with low-level joint torque/impedance control
Experience with robotics frameworks for fast prototyping (Matlab, ROS, etc.)

Responsibilities

Lead design and implement control algorithms for dynamic legged locomotion
Develop behaviors and gaits that enable the robot to traverse diverse terrain
Develop methods that seamlessly integrate balance, locomotion, and manipulation tasks
Create dynamics models and simulations that enable sim2real transfer of algorithms
Collaborate effectively with multi-disciplinary teams to co-design hardware and algorithms for loco-manipulation
Mentor junior engineer and scientists