Description

Are you passionate about control theory and robotic actuators? Do you thrive on solving complex interdisciplinary control challenges that span mechanical, electrical, and software domains? Do you want to see your control algorithms and system designs enable robots that transform how millions of customers receive their orders? If yes, you'll fit right in here at Amazon Robotics.

Amazon Robotics is seeking an Senior Interdisciplinary Systems Engineer with deep expertise in low-level control theory and actuator systems to lead the design and integration of control systems for complex robotic platforms.

We are a smart team of doers that work passionately to apply cutting-edge advances in robotics, control systems, and mechatronics to solve real-world challenges that will transform our customers' experiences in ways we can't imagine yet. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling and fun.

Key job responsibilities
Design and analyze control systems for robotic actuators and manipulators, including impedance control, force control, and advanced motion control strategies

Build mathematical models of actuator systems in MATLAB/Simulink to predict performance, conduct trade studies, and validate control approaches

Develop control architecture and analyze system stability, bandwidth, and performance

Design filters, observers, and signal processing algorithms to address real-world limitations such as sensor noise, bandwidth constraints, backlash, and actuator saturation

Lead cross-functional design integration across mechanical (motors, gearboxes), electrical (motor controllers, encoders, sensors), and software (control algorithms) domains

Identify system-level solutions that optimize across components rather than individual parts in isolation, finding creative trade-offs between mechanical design, electrical capability, and control strategy

Derive performance requirements and allocations across subsystems to ensure integrated systems meet motion control objectives

Conduct trade space studies to evaluate control architecture alternatives, comparing performance, cost, complexity, risk, and timeline

Lead technical risk assessments and failure mode identification for control systems, including stability margins and fault tolerance analysis

Generate technical artifacts (models, analyses, requirements, test plans) that influence subsystem designs across mechanical, electrical, and software teams