Jacob Lambert is a Perception Engineer with 11 years' experience building LiDAR-, camera-, and radar-based sensing pipelines for autonomous vehicles, currently driving perception at TIER IV. He holds a PhD from Nagoya University and an MEng from University of Toronto, with research and production work spanning AI-based object detection, tracking, state estimation, and LiDAR–camera calibration. Jacob has repeatedly moved research into product: designing hardware and firmware, implementing perception algorithms, and integrating V2X and visualization systems for self-driving stacks. His background includes founding an AR startup and hands-on profiling of sensor fusion methods (EKF, particle filters, sliding-window and batch optimization), which gives him uncommon depth across hardware, algorithms, and systems. Based in Nagoya, he blends academic rigor with pragmatic engineering to turn novel perception research into deployable autonomous sensing platforms.
11 years of coding experience
8 years of employment as a software developer
Bachelor's degree, Physics, Bachelor's degree, Physics at McGill University
Master's Degree, Mobile Robotics, Master's Degree, Mobile Robotics at University of Toronto
Doctor of Philosophy (PhD), Robotics, Machine Learning, Autonomous Vehicles, Doctor of Philosophy (PhD), Robotics, Machine Learning, Autonomous Vehicles at Nagoya University
Contributions:24 commits, 19 pushes, 1 branch in 2 years
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