Summary
Jeremy Shannon is an Autonomy Engineer with 11 years of experience building perception and navigation software for autonomous vehicles and robots, most recently architecting ROS2-based autonomy for a commercial autonomous mower at Stanley Black & Decker. He brings deep radar and camera perception expertise from roles developing 360° multi-radar tracking and radar-based occupancy grids, and has practical Nav2 and ROS2 system design experience including a custom costmap plugin. Comfortable across the stack, Jeremy has shipped prototype systems end-to-end—sensor integration, perception, and demo-worthy autonomy—and is actively expanding into localization, planning, and control. Dependable and community-minded, he volunteers heavily in robotics outreach (notably high-ranking pre-pandemic involvement with Black Girls Code) and enjoys translating that mentorship into robust, production-ready systems.
11 years of coding experience
11 years of employment as a software developer
Nanodegree Self-Driving Car Engineer, Nanodegree Self-Driving Car Engineer at Udacity
Master's degree Electrical and Computer Engineering, Master's degree Electrical and Computer Engineering at University of Oklahoma