Summary
Saul Rosa is a Software Engineering Manager at NVIDIA with 14 years of experience blending semiconductor physics, statistical analysis, and machine learning into production software. With an Electrical Engineering background from Rochester Institute of Technology and a master’s from Stanford, he pairs hardware-aware insight with strong systems programming skills in C/C++, Java and Perl. He leads teams that bridge deep learning research and practical engineering, applying rigorous statistical methods to improve model reliability and performance. Based in San Francisco, Saul is equally comfortable dissecting device-level signals and shipping scalable software infrastructure, a combination that helps translate complex physical phenomena into deployable ML solutions.
13 years of coding experience
Bachelors, Electrical Engineering, Bachelors, Electrical Engineering at Rochester Institute of Technology
Masters, Masters at Stanford University
English, Portuguese, Spanish, French, Italian