Dong Lee
Research Development Software Engineer at Sandia National Laboratories
Albuquerque, New Mexico, United States
Summary
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Rockstar🎓
Top SchoolDong Lee is a research development software engineer with five years of experience bridging high-performance parallel computing and practical software delivery. Based at Sandia National Laboratories and armed with an M.S. in Computer Science from UIUC, he contributes to Kokkos—an influential C++ performance portability project—improving shared-memory checks and stability for parallel reductions. His background spans distributed systems, GPU-accelerated FFTs, and full-stack/database tooling from internships at Los Alamos to backend work on diagnostic imaging at UCSD. Comfortable leading cross-disciplinary teams, he pairs research rigor with production-minded engineering to identify bottlenecks and implement robust, tested solutions. Notably, he blends low-level performance tuning with higher-level UX and data-visualization improvements, making complex simulation and analysis tools more usable. He is seeking a full-time software engineering role where he can continue to optimize performance-critical systems and deliver end-to-end software features.
5 years of coding experience
6 years of employment as a software developer
University of California San DiegoUniversity of Illinois Urbana-Champaign
English, Korean
Github Skills (10)
cluster-computing10
c-language10
cprogramming-language10
parallel-computing10
scientific-computing10
k10
cuda9
abstraction8
programming-language8
testing8
Programming languages (5)
Github contributions (5)
kokkos/kokkos
Nov 2021 - Jan 2023
Kokkos C++ Performance Portability Programming Ecosystem: The Programming Model - Parallel Execution and Memory Abstraction
Role in this project:
Back-end Developer / Performance Engineer
Back-end Developer / Performance EngineerContributions:506 reviews, 37 commits, 75 PRs in 1 year 2 months
Contributions summary:Dong's contributions focused on enhancing the performance and stability of the Kokkos library, a C++ performance portability programming model. They implemented checks for shared memory (shmem) usage within the `parallel_reduce` function, ensuring that the size of the reduced view doesn't exceed the shmem limit. The user also added unit tests to validate the shmem size limit functionality. Additionally, the user worked on improving the MD Team Policy implementation for serial backends.
memorympic-plus-plusmulti-threadingkokkos
ldh4/kokkos-core-wiki
Mar 2022 - Mar 2025
Contributions:25 pushes, 10 branches in 3 years
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