Summary
Eric Work is a Senior Deep Learning Inference Software Engineer with 19 years of experience, currently building production-grade inference solutions at NVIDIA from California. He holds a B.S. from the University of Washington and an M.S. from UC Davis, and blends deep academic training with long-term industry practice in AI performance engineering. At NVIDIA he focuses on optimizing models for speed, efficiency, and real-world deployment, while also advising on technical strategy for American Paper Converting. Known for translating research into scalable inference pipelines, he brings uncommon domain continuity—nearly two decades of applied systems work—into cutting-edge deep learning runtimes.
19 years of coding experience
B.S., B.S. at University of Washington
M.S., M.S. at University of California, Davis