Bei Wang
Senior DevTech Engineer, AI at NVIDIA
New Jersey, United States
Summary
👤
Senior🎓
Top SchoolBei Wang is a Senior DevTech Engineer specializing in AI and high-performance computing with a decade of experience accelerating scientific applications across CPUs, GPUs and FPGAs. At NVIDIA and previously at Princeton she led GPU development for large-scale particle-tracking and gyrokinetic simulation codes, tuning C/C++, Fortran, MPI/OpenMP and CUDA/OpenCL implementations for world-class supercomputers. She combines deep numerical-methods insight from her PhD-era research with practical performance engineering, having optimized codes on systems from Blue Gene/Q to Summit and taught parallel computing bootcamps. Known for bridging research and production, she has also explored FPGA prototypes for particle tracking—a less obvious thread that highlights her hardware-aware approach to performance. Based in New Jersey, Bei brings a rare mix of domain science, low-level optimization skill, and developer-facing enablement.
8 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computational Science and Engineering, Department of Applied Science, PhD, Doctor of Philosophy (Ph.D.), Computational Science and Engineering, Department of Applied Science, PhD at University of California, Davis
Github Skills (11)
energy10
snl-applications10
high-energy-physics10
physics10
refinement10
athena9
mesh9
protein-structure8
amr8
pytorch6
gpu5
Programming languages (3)
Github contributions (5)
beiwang2003/strip_clustering_gpu
Sep 2019 - Nov 2021
Contributions:8 PRs, 63 pushes, 1 branch in 2 years 3 months
beiwang2003/Intro_to_Perf_Vectorization
Nov 2018 - Oct 2021
Contributions:26 pushes, 1 branch in 2 years 11 months
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