Depaul Miller
Senior Deep Learning Library Performance Software Engineer at NVIDIA
San Jose, California, United States
Summary
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Senior🎓
Top SchoolDepaul Miller is a Senior Deep Learning Library Performance Software Engineer at NVIDIA with nine years of experience specializing in heterogeneous and parallel computing, particularly GPGPU. He designs and ships state-of-the-art CUDA/C++ kernels and contributes to CUTLASS and MLIR-driven performance paths for deep learning and linear algebra. As a PhD candidate at Lehigh, his research bridged GPU computation with data repositories, concurrency control, and novel concurrent data structures—work that informed GPU-accelerated OLTP/HTAP designs and transaction-aware heterogeneous systems. He has a track record of turning research into production-grade optimizations (e.g., warp-specialized and TF32 cooperative kernels in CUTLASS 3.2) and focuses on latency and energy-efficient kernel design. Based in San Jose, he blends academic rigor (4.0 GPA across MS/PhD) with practical engineering across multiple NVIDIA internships and research appointments.
9 years of coding experience
5 years of employment as a software developer
Boston College High SchoolDoctor of Philosophy - PhD, Computer Science, 4.0, Doctor of Philosophy - PhD, Computer Science, 4.0 at Lehigh University
Stackoverflow
1reputation
0reached
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Github Skills (30)
python10
nvidia10
gpu10
cuda10
cpp10
linear-algebra10
pytorch9
deep-learning9
jit9
kernel9
compiler9
gpt8
inference8
multicore8
llama8
Programming languages (8)
Github contributions (5)
depaulmillz/Rfantasyfootball
Jan 2017 - Nov 2018
Contributions:1 release, 2 PRs, 17 pushes in 1 year 10 months
footballrstatspredictivefantasyfantasy-football
depaulmillz/MisophoniaHelpingBrowserExtensions
Jan 2019 - Dec 2020
Contributions:1 release, 21 pushes, 1 branch in 1 year 11 months
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