Colby Stanley
About Colby Stanley
Colby Stanley is a Senior Software Engineer at Motional, where he has worked since 2022. He has a background that includes internships at NASA and experience as an Embedded Software Engineer at General Motors.
Work at Motional
Colby Stanley has been employed at Motional as a Senior Software Engineer since 2022. He works in Milford, Michigan, focusing on software engineering projects that contribute to the development of autonomous vehicle technology. His role involves applying his technical skills to solve complex engineering challenges within the organization.
Education and Expertise
Colby Stanley holds a Bachelor's of Science in Applied Physics from West Virginia Wesleyan College, where he studied from 2011 to 2015. He furthered his education at Duke University Graduate School, earning a Master's of Science in Electrical and Computer Engineering between 2015 and 2017. His educational background equips him with a strong foundation in both physics and software engineering.
Background
Colby Stanley has a diverse professional background that includes various internships and positions in notable organizations. He interned at NASA multiple times between 2009 and 2011, where he contributed to projects involving robot programming for autonomous navigation. He also worked as a Graduate Teaching Assistant at Duke University in 2017 and served as an Embedded Software Engineer at General Motors from 2017 to 2021.
Internship Experience at NASA
Colby Stanley participated in the NASA Intern Experience Program (NEAP) during several internships from 2009 to 2011. His contributions included programming a robot for autonomous room mapping and navigation. These experiences provided him with valuable insights into advanced engineering practices and technologies in a leading aerospace organization.
Professional Development at General Motors
Colby Stanley worked as an Embedded Software Engineer at General Motors from 2017 to 2021. In this role, he focused on developing software solutions for automotive applications. His experience at General Motors contributed to his technical proficiency and understanding of embedded systems within the automotive industry.