Stephanie Conner
About Stephanie Conner
Stephanie Conner serves as an Operations and Test Engineer II at TuSimple, where she has worked since 2020, focusing on autonomous vehicle operations in Tucson, Arizona. She previously held a project management role at Eminent SEO and has a background in Sustainability Studies from Mesa Community College.
Work at TuSimple
Stephanie Conner has been employed at TuSimple as an Operations and Test Engineer II since 2020. In this role, she is responsible for monitoring and logging behaviors encountered in the autonomous driving system. She conducts in-depth analysis of software, hardware, and mechanical behavior during both autonomous and manual operations. Additionally, she coordinates multiple teams for test planning and execution, ensuring effective collaboration across departments. Her involvement in special projects includes VIP rides and user testing, contributing to the advancement of autonomous vehicle technology.
Previous Experience at Eminent SEO
Prior to her role at TuSimple, Stephanie Conner worked as a Project Manager at Eminent SEO from 2013 to 2014. During her nine-month tenure in Mesa, Arizona, she managed various projects, gaining valuable experience in project coordination and management. This position helped her develop skills that are applicable in her current engineering role.
Education and Expertise
Stephanie Conner studied at Mesa Community College, where she focused on Sustainability Studies and earned an Associate of Arts and Sciences (AAS) degree from 2009 to 2013. Her educational background provides her with a strong foundation in sustainability principles, which may inform her work in the autonomous vehicle sector. This academic experience complements her technical skills in operations and testing.
Technical Skills and Responsibilities
In her current position at TuSimple, Stephanie Conner tracks and maintains qualitative data related to autonomous vehicle operations. This includes monitoring incidents such as random braking and wildlife interactions. Her role requires a thorough understanding of both the technical aspects of autonomous systems and the operational challenges faced in real-world scenarios.