Summary
Jerel Nielsen is a Staff Software Engineer with a decade of experience building navigation, sensor fusion, and state estimation systems for autonomous vehicles and robots. He combines a PhD-level background in electrical engineering with hands-on expertise integrating RGB/IR cameras, IMUs, and GNSS to turn mathematical concepts into production software and functional machines. Across roles at Hayden AI, Embark Trucks, and FLIR, he has focused on robust perception and control pipelines for real-world autonomy. Based in Spanish Fork, Utah, he is especially skilled at bridging algorithm development and practical system engineering—often validating theory through vehicle and platform-level deployment. A former mechanical engineer and drafter by training, he brings uncommon breadth from low-level hardware understanding to advanced estimation algorithms.
10 years of coding experience
9 years of employment as a software developer
Master's degree, Mechanical Engineering, Master's degree, Mechanical Engineering at Utah State University
Associate's degree, CAD/CADD Drafting and/or Design Technology/Technician, Associate's degree, CAD/CADD Drafting and/or Design Technology/Technician at Bridgerland Technical College
Doctor of Philosophy - PhD, Electrical Engineering, Doctor of Philosophy - PhD, Electrical Engineering at Brigham Young University