About the job
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.
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
Qualifications
Minimum
PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
Experience with methods for whole-body control such as hierarchical quadratic programming and model-predictive control
Experience with imitation learning and reinforcement learning for whole-body 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
Preferred
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 whole-body control
Experience with low-level joint torque/impedance control
Experience with robotics frameworks for fast prototyping (Matlab, ROS, etc.)