William Lu
About William Lu
William Lu is a Systems Engineer II specializing in Autonomous Driving Systems at Motional in Boston, Massachusetts, where he has worked since 2018. He has a background in electrical engineering and has held various roles in companies such as Boeing, Olin Robotic Sailing, and Markforged.
Work at Motional
William Lu has been employed at Motional since 2018, serving as a Systems Engineer II focused on Autonomous Driving Systems. His role involves the design and implementation of advanced systems that contribute to the development of autonomous vehicles. Based in Boston, Massachusetts, Lu has accumulated six years of experience in this position, contributing to Motional's mission of creating safe and reliable self-driving technology.
Previous Experience
Before joining Motional, William Lu held several engineering positions. He worked at Summa Education as a Staff member from 2013 to 2014 in the Greater San Diego Area. He then joined Boeing as an Electrical Engineer in the Senior Capstone Program in Engineering, where he worked for eight months in Needham, MA, and Everett, WA. Additionally, he served as the Electrical Subteam Project Manager at Olin Robotic Sailing from 2014 to 2017 in the Greater Boston Area.
Internship Experience
William Lu has completed multiple internships that enhanced his engineering skills. He worked as an Electrical Engineering Intern at Markforged in 2017, where he focused on developing firmware in C++ for ATmega256x microcontrollers to improve the precision of industrial-grade 3D printers. He also interned at Elemental Machines in 2016 as an Electrical and Software R&D Engineering Intern, where he evaluated electrical and mechanical controls to quantify the print performance of industrial-grade 3D printers.
Education and Expertise
William Lu studied at Rancho Bernardo High School from 2010 to 2014. He then pursued a Bachelor of Science (B.S.) in Electrical and Computer Engineering at Franklin W. Olin College of Engineering, completing his degree in 2018. His educational background provides a strong foundation in both electrical and computer engineering principles, which he applies in his current role in autonomous driving systems.