Alfred Qiao
About Alfred Qiao
Alfred Qiao is a Staff System Safety Engineer specializing in Autonomous Trucking at TuSimple, with extensive experience in system safety engineering across various companies, including Uber and Toyota Research Institute. He holds a Master's degree in Computer Engineering from George Mason University and a Master's degree in Electrical Engineering from Tianjin University.
Work at TuSimple
Alfred Qiao currently serves as a Staff System Safety Engineer in Autonomous Trucking at TuSimple. He has held this position since 2022. In this role, he focuses on ensuring the safety of autonomous driving systems, contributing to the development of safe operational protocols and risk management strategies.
Previous Experience in Autonomous Driving
Prior to his current role, Alfred Qiao worked at several notable companies in the autonomous driving sector. He was a Senior System Safety Engineer at Uber ATG from 2019 to 2021, where he specialized in fault management. He also served as a Senior Software Safety Engineer at Aurora for one year and as an Autonomous Driving Sr. System Safety Engineer at Toyota Research Institute from 2018 to 2019.
Education and Expertise
Alfred Qiao holds a Master’s degree in Computer Engineering from George Mason University and a Bachelor of Science in Electrical Engineering from Tianjin University. His expertise includes defining Autonomous Driving System (ADS) Minimal Risk Conditions and Maneuver Definitions, as well as conducting Hazard Analysis and Risk Assessment Frameworks.
Background in Engineering
Alfred Qiao has a diverse background in engineering, having worked in various roles across multiple companies. His experience includes positions at Rockwell Collins as a Senior Avionics System Engineer and at Garmin International as a Senior Avionics Embedded Software Engineer. He also worked at Samsung Electronics America and Honeywell, focusing on system safety and embedded software engineering.
Specializations in Safety Analysis
Alfred Qiao specializes in Autonomous Driving System Failure Modes, particularly in areas such as Localization, Perception, Prediction, Motion Planning, and Vehicle Control. He is experienced in Multi-Agent Safety and Operational Safety Analysis, and he has a strong background in Safety Design Patterns and High-Performance Computing.