Peter Iles

Peter Iles

Senior Engineering Manager, Computer Vision / Machine Learning @ Aurora Solar

About Peter Iles

Peter Iles is a Senior Engineering Manager specializing in Computer Vision and Machine Learning at Aurora Solar in Ottawa, Ontario, Canada.

Company

Peter Iles is currently employed at Aurora Solar as a Senior Engineering Manager specializing in Computer Vision and Machine Learning. He is based in Ottawa, Ontario, Canada. Aurora Solar is recognized for its innovative solutions in solar energy, leveraging advanced technology to optimize solar design and installation processes.

Title

Peter Iles holds the position of Senior Engineering Manager, Computer Vision / Machine Learning at Aurora Solar. In this role, he uses his extensive experience in software engineering and machine learning to lead teams and drive advancements in the company’s cutting-edge solar technology solutions.

Previous Positions at Quanergy

Peter Iles worked at Quanergy from 2016 to 2023. His tenure included roles as Director, Software Engineering, from 2018 to 2023, and Engineering Manager, Software R&D, from 2016 to 2018. During his five years as director, he oversaw the development and implementation of software engineering projects and managed research and development efforts focused on software innovation.

Educational Background

Peter Iles studied Systems Design Engineering at the University of Waterloo. He earned a Bachelor of Applied Science (B.A.Sc.) degree from 1998 to 2003 and continued to complete a Master of Applied Science (M.A.Sc.) from 2003 to 2005. His educational background laid a strong foundation for his career in engineering and technology.

Technical Projects and Leadership

Throughout his career, Peter Iles has led several significant technical projects. He spearheaded the navigation and driving efforts for a lunar rover prototype, served as the technical lead for developing an underwater 3D scanner used for energy infrastructure inspection, and managed a project that created a real-time change detection system to identify roadside bombs. These projects highlight his expertise in 3D vision software, sensors, and robotics.

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