Geoffrey Wenger
Principal Software Engineer at d-Matrix
San Diego, California, United States
Summary
🤩
Rockstar🎓
Top SchoolGeoffrey Wenger is a Principal Software Engineer based in San Diego with a decade of hands-on experience building high-performance deep learning systems from embedded real-time inference engines to custom training accelerators. He has driven GPU and accelerator software across industry leaders—Qualcomm, Intel, Cerebras, and d-Matrix—often delivering runtime optimizations, FP16/math advances, and compiler-level techniques like precompilation, tensor lifetime analysis, and heterogeneous op segmentation. Geoffrey pairs low-level kernel tuning and threading expertise with higher-level compiler/runtime design, improving both performance and numerical verification for AI workloads. Comfortable across mobile GPUs, datacenter accelerators, and edge devices, he repeatedly translates research ideas into production features used in shipping SDKs and chips. His background in mathematics and computer science underpins a pragmatic approach to precision, pipelining, and memory efficiency that surfaces in unexpected places, such as doubling down on verification workflows to catch subtle numerical drift.
10 years of coding experience
23 years of employment as a software developer
BA Mathematics, BA Mathematics at Franklin & Marshall CollegeMS Computer Science, MS Computer Science at Rensselaer Polytechnic Institute
Github Skills (21)
inference-engine9
c-library9
cpp9
os-agnostic8
deep-learning8
machine-learning8
hardware-acceleration8
tvm8
package-management7
conda7
python7
compiler7
c-extension6
vscode6
neural-network6
Programming languages (3)
Github contributions (4)
gcwenger/ml-class
Jul 2018 - Jul 2018
Materials for class on machine learning/deep learning using scikit-learn, tensorflow and keras
Contributions:2 pushes in 3 days
pythonk-meansdata-sciencedeep-learningconvolutional-neural-network
NervanaSystems/ngraph
Sep 2018 - Feb 2020
nGraph - open source C++ library, compiler and runtime for Deep Learning
Contributions:29 PRs, 63 pushes, 33 branches in 1 year 5 months
inference-enginecppc-librarydeep-learningtvm
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