Xin Liu
About Xin Liu
Xin Liu is a Software Engineer currently employed at Nuro in the San Francisco Bay Area. He has a strong educational background in Electrical and Computer Engineering, with degrees from Duke University and Tongji University, and has held various research and engineering positions in notable companies and universities.
Current Role at Nuro
Xin Liu currently serves as a Software Engineer at Nuro, a position held since 2022. Nuro is known for its focus on autonomous delivery vehicles, aiming to transform local commerce through innovative technology. In this role, Liu contributes to the development and implementation of software solutions that enhance the functionality and efficiency of Nuro's delivery systems.
Previous Experience at SenseTime
Prior to joining Nuro, Xin Liu worked at SenseTime, a leading artificial intelligence company. Liu held two positions at SenseTime: first as a Research Intern from 2019 to 2020, and later as a Research Engineer from 2020 to 2022. In these roles, Liu was involved in various projects related to AI and machine learning, contributing to advancements in the company's technology.
Educational Background
Xin Liu has a strong educational foundation in engineering. Liu earned a Master of Science in Electrical and Computer Engineering from Duke University, studying from 2017 to 2019. Prior to this, Liu completed an exchange program in Electrical Engineering at The Hong Kong Polytechnic University from 2015 to 2016. Liu also holds a Bachelor's degree in Electrical and Electronics Engineering from Tongji University, completed from 2012 to 2017.
Research Experience at Duke University
During the academic journey, Xin Liu gained valuable research experience at Duke University. Liu worked as a Graduate Student Research Assistant from 2017 to 2018, where responsibilities included assisting in various research projects. Additionally, Liu completed a Research Assistant Internship at The Chinese University of Hong Kong in 2018 for one month, further enhancing research skills and knowledge in the field.