Phil Azeredo
About Phil Azeredo
Phil Azeredo is a Senior Automated Driving Safety SOTIF Engineer at Motional, with a background in mechanical and electrical system troubleshooting. He has previously held positions at the U.S. DOT Volpe National Transportation Systems Center and has expertise in developing test procedures for autonomous driving systems.
Work at Motional
Phil Azeredo serves as a Senior Automated Driving Safety SOTIF Engineer at Motional, a position he has held since 2022. He operates in a hybrid work environment based in Boston, Massachusetts. In this role, he focuses on safety aspects of automated driving systems, leveraging his expertise in developing objective test procedures and conducting experiments. His work contributes to the advancement of safety applications in autonomous vehicles.
Previous Experience at U.S. DOT Volpe National Transportation Systems Center
Phil Azeredo worked at the U.S. DOT Volpe National Transportation Systems Center from 2016 to 2023. Initially, he served as a Computer Engineer for four years, followed by three years as a General Engineer. His responsibilities included mechanical and electrical system troubleshooting and design, as well as project and program management related to autonomous driving safety.
Engineering Background and Education
Phil Azeredo earned a Bachelor's Degree in Mechanical Engineering from Tufts University, where he studied from 2010 to 2014. His educational background laid the foundation for his career in engineering, particularly in the fields of mechanical systems and autonomous driving technologies.
Career Development and Early Roles
Before his tenure at the U.S. DOT, Phil worked as an Engineering Analyst at DIGITALiBiz, Inc. from 2015 to 2016. He also gained experience as a Swim Instructor and Lifeguard at Hale Reservation from 2008 to 2012, and served as a Resident Assistant at Tufts University from 2012 to 2014. These roles contributed to his development in both technical and interpersonal skills.
Expertise in Autonomous Driving Safety
Phil Azeredo possesses specialized knowledge in developing and debugging computer code related to autonomous driving systems. He has been involved in researching the potential benefits of emerging safety applications for light automotive vehicles. His expertise extends to conducting experiments and developing test procedures to enhance the safety of autonomous driving technologies.