Tech Lead Testing, Amazon Robotics

The role of Tech Lead Testing at Amazon Robotics involves leading the testing efforts for RIVR, an Amazon company focused on developing autonomous robots for real-world doorstep delivery. RIVR's robots operate in diverse urban environments, continuously learning and navigating various scenarios. The company's approach includes owning the full stack from software to hardware, ensuring safety, reliability, and customer satisfaction from the outset. The main day-to-day responsibilities include defining and owning the end-to-end test strategy for structural, mechatronic, and sensing subsystems. This involves establishing testing standards, processes, and best practices, as well as making architectural decisions on test infrastructure. Additionally, the role requires designing, commissioning, and operating test benches for mechatronics systems, selecting and calibrating sensors, and developing automation scripts to control test hardware and log data. The position also involves compiling test reports, identifying failure modes, and providing data-driven input in design reviews. To excel in this role, candidates must have a strong background in hardware testing, with experience in designing test benches, writing automation code, and analyzing test data. Proficiency in Python and Labview is essential, as is a thorough understanding of signal processing and statistics. The ability to mentor and grow test engineers, as well as collaborate with cross-functional teams, is crucial. Nice-to-have skills include the ability to influence design outcomes and drive process maturity. The role offers a unique opportunity to shape how a Physical AI company validates its products, with a focus on continuous improvement and innovation. The team at RIVR is dedicated to fostering a culture of rigorous, curiosity-driven experimentation, and the role provides ample opportunities for growth and development. What the role asks for: - Deep technical expertise in hardware testing. - Experience in designing test benches. - Proficiency in Python and Labview. - Thorough understanding of signal processing and statistics. - Ability to mentor and grow test engineers. - Experience in collaborating with cross-functional teams.