Chris St John is a Principal Engineer specializing in autonomy sensors with three decades of hands-on experience designing automotive and commercial vision electronics. He leads cross-functional camera development—optics, CMOS image sensors, FPGA logic, and embedded firmware—bringing products from concept through production while balancing EMC, controlled-impedance PCB design, and system-level perception metrics. His career spans leadership roles at Motional and Argo AI and technical engagements at Intel and Sharp, giving him rare depth across OEM/Tier-1 relationships and high-level design flows for AI-enabled video processing. Known for translating image-quality testing and optical analysis into robust hardware and FPGA implementations, he routinely optimizes camera performance against perception and fusion requirements. Beyond engineering, he’s customer-facing and adept at aligning technical decisions with program delivery and regulatory needs. He combines a practical systems mindset with academic grounding (MS, Univ. of Michigan) and a track record of shipping production automotive vision systems.
4 years of coding experience
29 years of employment as a software developer
Master of Science (MS), Electrical and Electronics Engineering, Master of Science (MS), Electrical and Electronics Engineering at University of Michigan - Rackham Graduate School
Bachelor of Science (BS), Electrical and Electronics Engineering, Bachelor of Science (BS), Electrical and Electronics Engineering at Kettering University
Primary Git Repository for the Zephyr Project. Zephyr is a new generation, scalable, optimized, secure RTOS for multiple hardware architectures.
Contributions:9 reviews, 3 PRs, 25 comments in 2 years 11 months
bluetooth-lereal-timezephyrsecuregit-repository
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