Summary
Saad Ahmad is a Principal AI Research Engineer based in Mountain View with nine years of hands-on experience building high-performance C++ systems and applied AI for AR/vision platforms. He has driven production features at Apple for visionOS and now leads AI research engineering at Archer, drawing on prior roles at Magic Leap and Google where he optimized SLAM, controller tracking, and ML classifiers for real-time constraints. Known for squeezing 4–10x speedups from simulations and shipping multi-threaded C++14/17 code with minimal hardware support, he blends low-level performance tuning with practical ML tooling. Saad also scripts build, test, and on-device simulation infrastructure to improve team productivity and regression coverage, and he has a history of cross-site collaboration with vendors and international teams. A Waterloo Mechatronics graduate who likes to “build and hack stuff,” he pairs systems-level instincts with product-focused engineering to move research into deployable systems.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Applied Science (BASc) Mechatronics Engineering, Bachelor of Applied Science (BASc) Mechatronics Engineering at University of Waterloo