algorithms and ensure robustness across various conditions. Work closely with software, hardware, and perception teams to integrate control strategies into the overall robotic system. Required Qualifications : Master’s or PhD in Robotics, Control Systems, Mechatronics, or a related field. At least 5 years of experience … robots, focusing on locomotion. Proficiency with model predictive control (MPC), optimal control, and feedback control loops in dynamic robotic systems. Expertise in reinforcement learning for robotics Deep understanding of humanoid robot dynamics and balance control. Strong experience with hardware-in-the-loop testing … force control. Familiarity with series elastic actuators (SEAs), harmonic drives, direct drive motors, and custom actuator designs used in humanoid robotics. Proven experience in robotic system integration, including end-to-end validation of locomotion systems (joint to whole-body motion). Design and execution of hardware-in-the-loop More ❯
algorithms and ensure robustness across various conditions. Work closely with software, hardware, and perception teams to integrate control strategies into the overall robotic system. Required Qualifications : Master’s or PhD in Robotics, Control Systems, Mechatronics, or a related field. At least 5 years of experience … robots, focusing on locomotion. Proficiency with model predictive control (MPC), optimal control, and feedback control loops in dynamic robotic systems. Expertise in reinforcement learning for robotics Deep understanding of humanoid robot dynamics and balance control. Strong experience with hardware-in-the-loop testing … force control. Familiarity with series elastic actuators (SEAs), harmonic drives, direct drive motors, and custom actuator designs used in humanoid robotics. Proven experience in robotic system integration, including end-to-end validation of locomotion systems (joint to whole-body motion). Design and execution of hardware-in-the-loop More ❯
algorithms and ensure robustness across various conditions. Work closely with software, hardware, and perception teams to integrate control strategies into the overall robotic system. Qualifications : Master's or PhD in Robotics, Control Systems, Mechatronics, or a related field. At least 2 years of experience in … robots, focusing on locomotion. Understanding of model predictive control (MPC), optimal control, and feedback control loops in dynamic robotic systems. Strong expertise in reinforcement learning for robotics Deep understanding of humanoid robot dynamics and balance control. Strong experience with hardware-in-the-loop … of legged robots, including whole-body control, balance, and stability management (ZMP, capture point control, etc.). Proven experience in robotic system integration, including end-to-end validation of locomotion systems (joint to whole-body motion). Familiar with compliance testing, gait optimization, and energy More ❯
algorithms and ensure robustness across various conditions. Work closely with software, hardware, and perception teams to integrate control strategies into the overall robotic system. Qualifications : Master's or PhD in Robotics, Control Systems, Mechatronics, or a related field. At least 2 years of experience in … robots, focusing on locomotion. Understanding of model predictive control (MPC), optimal control, and feedback control loops in dynamic robotic systems. Strong expertise in reinforcement learning for robotics Deep understanding of humanoid robot dynamics and balance control. Strong experience with hardware-in-the-loop … of legged robots, including whole-body control, balance, and stability management (ZMP, capture point control, etc.). Proven experience in robotic system integration, including end-to-end validation of locomotion systems (joint to whole-body motion). Familiar with compliance testing, gait optimization, and energy More ❯
algorithms and ensure robustness across various conditions. Work closely with software, hardware, and perception teams to integrate control strategies into the overall robotic system. Qualifications : Master’s or PhD in Robotics, Control Systems, Mechatronics, or a related field. At least 2 years of experience in … robots, focusing on locomotion. Understanding of model predictive control (MPC), optimal control, and feedback control loops in dynamic robotic systems. Strong expertise in reinforcement learning for robotics Deep understanding of humanoid robot dynamics and balance control. Strong experience with hardware-in-the-loop … of legged robots, including whole-body control, balance, and stability management (ZMP, capture point control, etc.). Proven experience in robotic system integration, including end-to-end validation of locomotion systems (joint to whole-body motion). Familiar with compliance testing, gait optimization, and energy More ❯
algorithms and ensure robustness across various conditions. Work closely with software, hardware, and perception teams to integrate control strategies into the overall robotic system. Qualifications : Master’s or PhD in Robotics, Control Systems, Mechatronics, or a related field. At least 2 years of experience in … robots, focusing on locomotion. Understanding of model predictive control (MPC), optimal control, and feedback control loops in dynamic robotic systems. Strong expertise in reinforcement learning for robotics Deep understanding of humanoid robot dynamics and balance control. Strong experience with hardware-in-the-loop … of legged robots, including whole-body control, balance, and stability management (ZMP, capture point control, etc.). Proven experience in robotic system integration, including end-to-end validation of locomotion systems (joint to whole-body motion). Familiar with compliance testing, gait optimization, and energy More ❯
create worldwide impact in robotics while solving challenges at the edge of robotics research? Our team in Amazon Robotics builds high-performance, real-time robotic systems that can perceive, learn, and act intelligently alongside humans - at Amazon scale. Our mission is to enable robots to interact safely, efficiently, and … both innovative and scalable. Working with a world-class team of experts in motion planning, control theory, computer vision, machine learning, and robotic hardware design, you will apply the latest research trends to tackle complex real-world challenges. Together, we aim to achieve high-impact algorithmic advancements … in areas such as closed-loop control, robotic grasping, and manipulation in high-contact environments - each of which carries significant value for our current and future fulfillment networks. Key job responsibilities: Design, simplify and continuously improve system controls architecture including machine control code, networking, electrical More ❯
their advanced hardware to manipulate and locomote through various environments efficiently and elegantly. This hands-on position involves everything from low-level motor control to whole-body dynamic control and estimation for loco-manipulation. Your goal will be to simplify the complexity of a high DoF … estimation software on high DoF robots. Solid understanding of rigid body dynamics, linear algebra, and numerical optimization. Familiarity with optimization-based whole body control, EKF-based state estimators, or model predictive control for legged systems. Proficiency in working with large C++ codebases in a Linux development … environment. Familiarity with modern software development practices, source control, and testing methodologies. Qualities We're Looking For: Excellent intuition for how controls software impacts robot behavior. Enjoy hands-on work with hardware as much as software R&D. Extreme care for how your software impacts tele-operation, production More ❯
