Senior Applied Scientist, Amazon Industrial Robotics

Senior Applied Scientist, Amazon Industrial Robotics 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. Key job 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 Basic Qualifications PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience Experience with whole‑body control methods 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 Qualifications 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.) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job‑related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign‑on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site. #J-18808-Ljbffr