Xiaoyang Wu
GPU Compiler Software Engineer at Qualcomm
San Diego, California, United States
Summary
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Top SchoolXiaoyang Wu is a GPU compiler software engineer based in San Diego with eight years of software experience and an MS in Computer Science from UCSD. Currently at Qualcomm, he develops a GPU-based virtual machine to emulate Adreno GPU execution across OpenGL/Vulkan/DirectX and produces performance and verification reports that guide compiler code generation and optimizations. Previously he built distributed Python/Cython infrastructure at TikTok that sped up data processing by 4x and scaled a CLIP-guided diffusion pipeline to process 200 million tracks across 32 nodes. He also worked on video cover-image generation and model format/compiler compatibility at Tencent, giving him practical experience bridging ML models, deployment, and compiler tooling. Known for blending low-level GPU/compiler work with large-scale distributed ML systems, he brings both systems rigor and applied ML production experience.
7 years of coding experience
1 year of employment as a software developer
University of California, San DiegoBachelor's degree, Computer Science, Bachelor's degree, Computer Science at Nanjing University
Github Skills (8)
cgi9
embedded7
cc7
risc-v7
iot6
microcontroller6
rtos5
pika3
Programming languages (1)
Github contributions (5)
SiterWell01/GS188_ALi
Jul 2019 - Jul 2019
Contributions:6 commits, 5 pushes, 1 branch in 1 day
xiaoyang432/new_xxx
Aug 2018 - Sep 2018
Contributions:11 PRs, 22 pushes, 13 branches in 1 month
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