Jack Xiaojiang Guo
About Jack Xiaojiang Guo
Jack Xiaojiang Guo serves as the Head of Platform and Infrastructure at Nuro, where he manages software operations and leads engineering efforts to enhance autonomy and AI development. With a background that includes roles at Stanford University, Twitter, and Microsoft Research Asia, he has extensive experience in machine learning and data management.
Current Role at Nuro
Jack Xiaojiang Guo serves as the Head of Platform and Infrastructure at Nuro, a position he has held since 2023. In this role, he manages the software operation organization, which is responsible for providing high-quality data essential for machine learning model training, evaluation, and validation. Additionally, he is the Head of Autonomy Infrastructure, overseeing the engineering organization focused on building infrastructure, tooling, and systems to enhance the development of autonomy, AI, fleet, and commercialization.
Previous Experience at Nuro
Prior to his current roles, Jack Guo held several positions at Nuro. He worked as the Tech Lead of Perception and Head of Data Labeling from 2016 to 2020. He then served as the Tech Lead Manager for Perception from 2020 to 2021 and as the Head of Autonomy Platform from 2021 to 2023. His tenure at Nuro has spanned various aspects of technology and infrastructure development, contributing to the company's advancements in autonomous systems.
Professional Background
Jack Guo has a diverse professional background that includes significant roles in various organizations. He worked at Twitter as a Staff Software Engineer focusing on Ads Prediction and later as a Tech Lead Manager for ML Infra. His earlier experience includes positions at Microsoft Research Asia and Tsinghua University, where he contributed to research in wireless networking and intelligent transportation systems.
Education and Qualifications
Jack Guo holds a Bachelor’s degree in Electronic Engineering from Tsinghua University, which he completed from 2005 to 2009. He furthered his education at Stanford University, earning a Master of Engineering (M.Eng.) in Electrical Engineering from 2009 to 2012. His academic background has provided a strong foundation for his career in technology and engineering.
Research Experience
Jack Guo has engaged in research roles at prestigious institutions. He was a Research Assistant at Stanford University, contributing to various projects from 2009 to 2012. Additionally, he worked at Tsinghua University in the Intelligent Transportation System Lab from 2008 to 2009. His research experience has complemented his technical skills and has been integral to his professional development.