Steven Reeves is a Senior Math Libraries Engineer with nine years of experience building high-performance GPU software, currently leading NVIDIA’s cuPQC post-quantum cryptography SDK. He combines deep academic training—a PhD in Statistics and Applied Mathematics from UCSC—with hands-on expertise in GPGPU, HPC, cryptography, and AI, having shipped optimized compute kernels and deep learning integrations at AMD and NVIDIA. His background spans national labs and defense research, where he accelerated simulation codes for exascale systems and held DoD clearance, giving him uncommon experience in secure, mission-critical computing. Steven has applied computer vision and numerical methods in industry and research, bridging algorithmic theory with production-grade CUDA, C++, and mixed-language stacks. Based in Truckee, CA, he is known for turning cutting-edge research into performant library releases that serve both ML and cryptographic workloads.
9 years of coding experience
7 years of employment as a software developer
Bachelor of Science (B.S.), Mathematics, Bachelor of Science (B.S.), Mathematics at Southern Oregon University
University of California Santa Cruz
Master of Science (M.S.), Computational and Applied Mathematics, Master of Science (M.S.), Computational and Applied Mathematics at San Diego State University
Contributions:18 commits, 20 pushes, 1 branch in 4 months
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