Nathaniel Glaser is a skilled software engineer specializing in robotics and machine learning, currently working at Zoox as a Software Engineer focusing on collision avoidance systems for self-driving technology. Previous experience includes serving as a Senior Software Engineer at Bowery Farming, developing large-scale distributed image search and machine learning pipelines for visual inspection. Glaser has an extensive research background, having worked as a Graduate Research Assistant at Georgia Institute of Technology on collaborative perception and multi-vehicle self-driving. Additional roles range from software engineering at Traptic, Inc. to contributions in robotics at various organizations, including Mitsubishi Electric Research Laboratories and Lockheed Martin. Nathaniel Glaser holds a PhD in Robotics and an MS in Computer Science from Georgia Institute of Technology, along with dual BS degrees in Electrical Engineering and Physics from Texas A&M University.
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