Neal Seegmiller is a Staff Engineer and Tech Lead Manager on Waymo’s Planner Technology team with a decade of experience building planning and control software for autonomous vehicles. He has led large motion-planning organizations at Argo AI, owning routing, behavior, and trajectory stacks for L4 autonomy in complex urban environments, and previously developed probabilistic path planners and MPC controllers in research and industry. Neal’s PhD in Robotics underpins a rigorous approach to heuristic search and online planning, and he pairs research-grade algorithmic depth with production engineering and team leadership. Unusually, he also holds dual 4.0 undergraduate degrees—including Chinese Language and Literature—reflecting rare interdisciplinary strengths that inform clear communication across diverse teams.
10 years of coding experience
15 years of employment as a software developer
Bachelor’s Degree, Chinese Language and Literature, 4.0/4.0, Bachelor’s Degree, Chinese Language and Literature, 4.0/4.0 at The University of Texas at Austin
Doctor of Philosophy (Ph.D.), Robotics, 4.07/4.0, Doctor of Philosophy (Ph.D.), Robotics, 4.07/4.0 at Carnegie Mellon University
Contributions:290 commits, 14 PRs, 266 pushes in 1 year 11 months
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