Jason Ziglar
About Jason Ziglar
Jason Ziglar is a Principal Engineer at Stack AV, where he has worked since 2023. He has extensive experience in robotic systems and has held various engineering roles at Argo AI and Virginia Tech.
Work at Stack AV
Jason Ziglar has been serving as Principal Engineer at Stack AV since 2023. In this role, he applies his extensive experience in software engineering and robotics to contribute to the company's projects. His responsibilities include overseeing engineering initiatives and ensuring the successful implementation of advanced technologies.
Previous Experience at Argo AI
Before joining Stack AV, Jason Ziglar worked at Argo AI from 2017 to 2023. He held various positions, including Senior Software Engineering Manager, Staff Software Engineer, and Lead for Geometric Perception. His tenure at Argo AI involved significant contributions to the development of autonomous vehicle technologies, particularly in perception systems and LiDAR processing.
Education and Expertise
Jason Ziglar holds a Doctor of Philosophy (PhD) in Computer Engineering from Virginia Tech, where he studied from 2013 to 2018. He also earned a Master of Science (M.S.) in Robotics from Carnegie Mellon University in 2007 and a Bachelor of Science in Engineering (BSE) in Biomedical & Electrical Engineering from Duke University in 2005. His academic background supports his expertise in perception systems for robotics.
Mentoring and Leadership
Jason Ziglar has experience mentoring engineers at various levels, from undergraduate students to middle managers. His leadership skills are evident in his previous roles, where he guided teams in the development and implementation of complex robotic systems. His ability to mentor reflects his commitment to fostering talent in the engineering field.
Technical Skills and Proficiencies
Jason Ziglar possesses robust technical skills in programming languages such as C++, C, Python, and Matlab. He is also proficient in LaTeX and has experience with both Windows and Linux operating systems. His technical expertise supports his work in software engineering and robotics, particularly in the development of perception systems.