Jeongnim Kim is a Principal Engineer with 21 years of experience designing parallel algorithms and high-performance computing applications, currently contributing to Intel SHMEM and communication libraries from Hillsboro, Oregon. His career spans national labs and top research centers—Oak Ridge, NCSA at UIUC, and Intel—where he bridged computational materials science, applied mathematics, and computer science to enable HPC-driven scientific discovery. A domain expert in many-body quantum simulations, he has contributed back-end fixes and CUDA-focused optimizations to widely used projects like QMCPACK, underscoring practical GPU performance tuning at scale. He has led technology pathfinding and ecosystem development for HPC, helping translate research-grade codes into production-capable, performance-portable implementations. Trained as a condensed matter theorist (PhD, Ohio State), he combines deep scientific insight with hands-on systems engineering, often working on subtle toolchain and platform issues that yield outsized performance gains.
21 years of coding experience
21 years of employment as a software developer
PhD Physics Condensed Matter Theory, PhD Physics Condensed Matter Theory at The Ohio State University
BS Physics, BS Physics at Korea Advanced Institute of Science and Technology
Main repository for QMCPACK, an open-source production level many-body ab initio Quantum Monte Carlo code for computing the electronic structure of atoms, molecules, and solids with full performance portable GPU support
Role in this project:
Back-end Developer
Contributions:3767 commits, 1 PR, 34 comments in 18 years 1 month
Contributions summary:Jeongnim primarily contributed to the codebase by fixing bugs and addressing typos. Their work focused on the CUDA platform, specifically correcting CUDA-related issues. They also updated the toolchain and made code adjustments for the use of BGP_BUG, indicating a focus on optimization and bug fixing within the high-performance computing domain.
Main repository for QMCPACK, an open-source production level many-body ab initio Quantum Monte Carlo code for computing the electronic structure of atoms, molecules, and solids.
Contributions:130 pushes, 14 branches, 1 tag in 3 years 7 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Jeongnim Kim - Principal Engineer at Intel Federal LLC