Sang-hoon Park
Principal Engineer at Qualcomm
Cambridge, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolSang-hoon Park is a Principal Engineer based in Cambridge with six years of focused experience in virtual prototyping and system-level simulation of processors and memory systems using C++ and SystemC. He has progressed through senior engineering and architecture roles at Qualcomm, Apple, Arm, and Samsung, bringing deep expertise in Fast Models, gem5, SystemC co-simulation, and memory design-space exploration for DRAM and non-volatile storage. His work spans building ARM full-system simulators, host and NAND-side virtual platforms for early firmware development, and integrating compute-library optimizations for ML and computer vision workloads. Sang-hoon combines rigorous academic grounding from a PhD in Electrical and Electronic Engineering with hands-on platform architecting, enabling faster hardware–software co-verification cycles. Notably, he has repeatedly moved between industry-leading silicon and software teams, which gives him a rare cross-domain view of both microarchitectural modeling and production platform constraints. He is especially skilled at turning complex timing and memory behavior into actionable simulation models that accelerate firmware and architectural decisions.
6 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy - PhD, Electrical and Electronic Engineering, Doctor of Philosophy - PhD, Electrical and Electronic Engineering at Yonsei University
Korean, English
Github Skills (19)
opencl10
nvidia10
sve10
armv810
neon10
computer-vision10
cpp10
armv710
linux9
machine-learning9
android9
cuda9
simd9
arm9
gpu8
Programming languages (1)
Github contributions (2)
ARM-software/ComputeLibrary
Feb 2020 - Apr 2021
The Compute Library is a set of computer vision and machine learning functions optimised for both Arm CPUs and GPUs using SIMD technologies.
Contributions:1 release, 2 pushes, 1 tag in 1 year 2 months
simdneonopenclnvidiaarmv8
ARM-software/armnn
Jan 2020 - Feb 2020
Arm NN ML Software. The code here is a read-only mirror of https://review.mlplatform.org/admin/repos/ml/armnn
Contributions:2 commits in 1 month
adminarmv8deep-learningneural-networksmachine-learning
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