Summary
Matthew Freihofer is a research engineer with 11 years of hands-on experience in GPU system software, heterogeneous computing, and embedded ML systems, currently building GPU performance tooling at Code Metal after a multi-year tenure in Qualcomm's Machine Learning Group. He specializes in GPGPU development and optimization (CUDA/OpenCL, Adreno series) and has shipped deep learning API support across C, C++ and Python, bridging low-level performance work with higher-level ML integration. His background spans real-time and embedded projects鈥攆rom FPGA color-management tooling to simulation software鈥攕howing a consistent ability to translate research prototypes into production-capable systems. Based in San Diego with a BS in Computer Science from Drexel, he pairs technical depth with practical engineering: beyond code, he contributes to technical design and product integration decisions. Outside work he channels curiosity into writing, music and board sports, reflecting a creative problem-solving temperament that surfaces in both tooling and system design.
10 years of coding experience
7 years of employment as a software developer
Bachelor鈥檚 of Science Computer Science, Bachelor鈥檚 of Science Computer Science at Drexel University
Communications Computer Science, Communications Computer Science at Atlantic Cape Community College