Gregory Giecold
Staff Software Engineer at NVIDIA
United States
Summary
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Rockstar🎓
Top SchoolGregory Giecold is a Staff Software Engineer with 11 years of experience who transitioned from theoretical physics to building and leading production AI infrastructure at NVIDIA. His background spans academia and industry—PhD-level research in gauge/gravity duality and computational biology, quant research at Citadel, technical leadership at Nuro, and autonomous-system engineering at Uber ATG—bringing a rare mix of mathematical rigor and product-minded execution. He specializes in designing reliable, scalable systems for machine learning and robotics, comfortable moving between low-level algorithms and large distributed deployments. Known as a “debugganeer” and systems conductor, he excels at untangling complex interactions across compute stacks to ship robust infrastructure. Based in the United States, he pairs deep theoretical intuition with practical delivery, often turning research-grade ideas into production-ready services.
11 years of coding experience
9 years of employment as a software developer
Master of Advanced Study in Mathematics (Part III of the Mathematical Tripos), Master of Advanced Study in Mathematics (Part III of the Mathematical Tripos) at University of CambridgePh.D. Theoretical Physics, Ph.D. Theoretical Physics at Paris-Sud University (Paris XI)
English, French, Dutch, Chinese
Stackoverflow
1reputation
0reached
0answers
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Github Skills (11)
crypto-wallet10
wallet10
rust10
ethereum-wallet10
blockchain10
bitcoin-wallet10
cryptography9
zkp9
wasm-pack8
rust-wasm8
testing7
Programming languages (8)
Github contributions (5)
GGiecold-zz/Cluster_Ensembles
Dec 2015 - Aug 2018
A package for combining multiple partitions into a consolidated clustering. The combinatorial optimization problem of obtaining such a consensus clustering is reformulated in terms of approximation algorithms for graph or hyper-graph partitioning.
Contributions:59 commits in 2 years 8 months
consolidatedoptimization-problemcombinatorialhyperconsensus-clustering
GGiecold-zz/Concurrent_AP
Nov 2015 - Jan 2018
A scalable and concurrent programming implementation of Affinity Propagation clustering.
Contributions:35 commits in 2 years 2 months
scalablepropagationconcurrent-programmingconcurrencyaffinity
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