Summary
Nathan Godwin is a Research Software Engineer and technical lead with nine years of experience building computer vision, 3D data processing, and embedded systems tooling, currently driving research engineering at Meta from Redmond. He blends deep algorithmic work—SLAM, point-cloud fusion, fast 3D geometry processing—and production C++/Python engineering with a track record of device abstraction and web services for end-to-end testing. Earlier roles at HP and ASML show hands-on expertise spanning FPGA/SystemVerilog verification, VHDL, MATLAB signal processing and machine learning for few-shot part classification, and five patents filed in imaging and optimization. Nathan pairs rigorous academic training (BS/MS in Electrical Engineering from UCSD) with practical system-level design and mentoring experience, often translating research prototypes into robust libraries and test frameworks. Notably, he has repeatedly bridged hardware and software boundaries to accelerate testing and calibration workflows, shaving hours off verification cycles and enabling scalable 3D scanning platforms.
9 years of coding experience
2 years of employment as a software developer
Associate’s Degree, Natural Sciences, 3.84/4.0, Associate’s Degree, Natural Sciences, 3.84/4.0 at Sierra College
University of California San Diego