Summary
Thomas Kil is a Senior Software Engineer with seven years of experience building perception and mapping algorithms for autonomous vehicles, currently working at NVIDIA and completing a Master's in Robotics at the University of Michigan. He has led production features at Lucid Motors such as ego-lane identification using a Bayesian framework and developed HD map libraries and visualization tools for localization and sensor fusion. His work on drowsy-driver detection and autonomous safe-stop behavior blends computer vision, SLAM, and control, reflecting hands-on end-to-end development from data collection to deployment. Comfortable in C++, Python, and MATLAB, he brings automotive-grade software practices (AUTOSAUR/MISRA, RTI DDS) and a track record of speeding up systems and tools in both industry and lab settings. Notably, he pairs research experience with practical engineering—having turned event-camera SLAM research into applied solutions for production platforms.
7 years of coding experience
7 years of employment as a software developer
Bachelor’s Degree, Mechanical Engineering, Bachelor’s Degree, Mechanical Engineering at University of California, Berkeley
Master's Degree, Robotics, Master's Degree, Robotics at University of Michigan - Rackham Graduate School
Korean, English