Principal Applied Scientist at Amazon Fulfillment Technologies & Robotics
Boston, Massachusetts, United States
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Summary
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Shih-yuan Liu is a Principal Applied Scientist and roboticist with 11+ years building production autonomy for ground and aerial vehicles, recently leading planning and vision-centric stack transitions at Motional and now working on robotics at Amazon Fulfillment Technologies & Robotics. He has deep hands-on expertise in ROS, C++, and Python and a proven record of shipping complex perception-to-control systems that enabled driverless service launches and tens of thousands of on-road rides. As a leader he has scaled and reorganized cross-site teams, mentored engineers into principal roles, and instituted company-wide on-road triage processes to systematically close safety gaps. His background spans academic research (PhD from UC Berkeley) to applied fleet deployments across Boston, Singapore, and Las Vegas, giving him uncommon fluency in both experiment-driven research and production-grade engineering. Notably, he has moved lidar-centric autonomy toward vision-first highway driving while coordinating mapping, localization, prediction, planning, and controls across organizations.
11 years of coding experience
16 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Mechanical Engineering Control, Doctor of Philosophy (Ph.D.) Mechanical Engineering Control at University of California, Berkeley
Bachelor of Science in Engineering Mechanical Engineering, Bachelor of Science in Engineering Mechanical Engineering at National Taiwan University
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Shih-yuan Liu - Principal Applied Scientist at Amazon Fulfillment Technologies & Robotics