Xing G.
About Xing G.
Xing G. is a Reliability Engineering Lead at Nuro, where he has worked since 2022. He holds a Bachelor's degree in Mechanical Engineering from Purdue University and a Master's degree from the University of Michigan, and has extensive experience in reliability engineering across several prominent companies.
Work at Nuro
Xing G. serves as the Reliability Engineering Lead - Sensor at Nuro, a position he has held since 2022. In this role, he focuses on ensuring the reliability of sensor technologies within Nuro's autonomous vehicle systems. Prior to this position, he worked as a Senior Reliability Engineer at Nuro for four years, starting in 2020. His experience at Nuro contributes to the company's mission of advancing autonomous delivery solutions.
Education and Expertise
Xing G. has a strong educational background in Mechanical Engineering. He earned his Bachelor of Engineering (BE) from Purdue University. He furthered his studies at the University of Michigan - Rackham Graduate School, where he obtained a Master's Degree in Mechanical Engineering. Additionally, he studied at the Karlsruhe Institute of Technology (KIT) for 11 months, focusing on Mechanical Engineering.
Background
Xing G. has accumulated diverse experience in the field of reliability engineering. He began his career as an Advanced Mechanical Technologies Intern at Eaton in 2015. He then worked at FCA Fiat Chrysler Automobiles as a Chassis Durability/Reliability Engineer from 2016 to 2017. Following this, he joined Apple, where he held positions as a Reliability Engineer from 2017 to 2020 and as a Senior Reliability Engineer for three months in 2020.
Achievements
Throughout his career, Xing G. has contributed to various engineering projects and initiatives. His role at Apple involved enhancing product reliability, which is critical in consumer electronics. At FCA Fiat Chrysler Automobiles, he focused on chassis durability and reliability, ensuring vehicle performance and safety. His current work at Nuro emphasizes the importance of sensor reliability in autonomous vehicle technology.