Summary
Gregory Meyer is a software engineer in San Francisco with nine years of experience building perception systems for autonomous vehicles, currently optimizing Waymo’s Hardware Abstraction Layer for GPU-accelerated onboard inference. He combines deep systems and robotics experience—from integrating LIDAR, stereo vision, and UKF-based sensor fusion in university robotics to shipping production perception and HAL optimizations at Waymo and May Mobility. Gregory has a proven track record of performance tuning and low-level engineering, including C++ I/O and hashing rewrites that yielded multi-fold throughput gains and spatial databases that enable sub-millisecond queries. Comfortable across ROS, embedded pipelines, and GPU stacks, he blends algorithmic insight with pragmatic engineering to squeeze latency and resource use out of real-time systems. Notably, his background spans both academic team leadership and hands-on intern projects that delivered measurable product and tooling improvements.
9 years of coding experience
3 years of employment as a software developer
Dual Enrolled, Engineering, Dual Enrolled, Engineering at Lawrence Technological University
Bachelor of Science in Engineering - BSE, Computer Engineering, Senior, Bachelor of Science in Engineering - BSE, Computer Engineering, Senior at University of Michigan College of Engineering
English, German