Summary
Jason Ku is a Senior Perception Engineer with a decade of experience building and deploying computer vision and robotics systems across autonomous vehicles, industrial automation, medical software, and AAA gaming. With an MASc from the University of Toronto and a Mechatronics degree from Waterloo, he blends strong systems-level engineering (C++, embedded firmware, ROS) with deep ML expertise (PyTorch, TensorFlow, CUDA) to close the gap between research and production. He has led applied perception research at Cruise and Waabi and now architects perception solutions at NVIDIA, specializing in multi-sensor fusion (lidar, radar, camera), training stabilization, and real-world model deployment. Jason’s background ranges from low-level firmware and SLAM scanners to game AI and synthetic-data-driven 3D reconstruction, reflecting a rare ability to move fluidly between hardware, simulation, and large-scale ML stacks. He’s known for pragmatic innovation—shipping robust perception pipelines that tolerate production variation and accelerate iteration.
10 years of coding experience
8 years of employment as a software developer
Master of Applied Science, Master of Applied Science at University of Toronto
Bachelor’s Degree, Mechatronics Engineering, Bachelor’s Degree, Mechatronics Engineering at University of Waterloo