Summary
Michael Gosselin is a seasoned testbed and systems engineer with 12 years of experience building automation and hardware systems across robotics, medical devices, and aerospace. Currently a Testbed Engineer at Muon Space in San Francisco, he has driven lab-scale automation, custom robot integration, and measurement automation from startups to Lyft’s Level 5 self-driving program. His background spans NPI manufacturing for surgical robots, automated biological experimentation platforms, and laser process research—demonstrating a rare mix of precision hardware design and scalable test infrastructure. Michael combines hands-on mechanical design and controls with test protocol development and verification, enabling complex systems to move from prototype to repeatable production. He has an MS in Mechanical Engineering from UPenn and a UBC BASc, plus a Udacity nanodegree that signals ongoing upskilling in modern tooling. Beyond roles, he’s known for connecting automation best practices across diverse domains—bringing lab automation rigor to aerospace testbeds.
12 years of coding experience
10 years of employment as a software developer
BASc Mechanical Engineering, BASc Mechanical Engineering at The University of British Columbia
Nanodegree Program, Nanodegree Program at Udacity
MS Mechanical Engineering and Applied Mechanics, MS Mechanical Engineering and Applied Mechanics at University of Pennsylvania
French, English