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Mark McClelland
Staff Software Engineer at Zoox
Mark McClelland is a Senior/Staff Software Engineer at Zoox, specializing in autonomous vehicles and robotics.2 He currently works on the Collision Avoidance System (CAS) team, which is responsible for detecting and reacting to imminent collision situations to support the vehicle's overall safety goals.1
Mark has a diverse background in robotics and has worked on various autonomous vehicle projects. He is described as a generalist at heart, having experience with a wide variety of robotics problems.2 Prior to his current role, Mark has held positions at other companies, including Tesla.3
At Zoox, Mark is involved in processing raw sensor data from the vehicle's sensor suite, using a combination of geometric algorithms and deep learning to detect near-collisions with obstacles in challenging urban environments.1 His work contributes to the development of Zoox's ground-up, fully autonomous vehicle fleet.
Mark's educational background includes studying at Cornell University.2 He is based in the San Francisco Bay Area, specifically mentioned as being in Palo Alto, CA.3
