Zejia Zheng
Member Of Technical Staff (Optimization)
California, United States
Summary
👤
Senior🎓
Top SchoolZejia Zheng is a Senior ML Systems Engineer with a decade of experience building and optimizing large-scale GPU inference and real-time vision systems, currently working on optimization at Runway. Previously a Senior Architect at NVIDIA and tech lead of Zoox’s vision core team, Zejia combines hands-on CUDA/TensorRT kernel work with system-level latency profiling and hardware validation. He holds a PhD-level research background from Michigan State and a BSc in Applied Mathematics from Fudan, blending rigorous academic training with production engineering. Known for squeezing performance out of perception pipelines, he has deep experience across reduced-precision inference, GPU threading, and cross-team hardware scoping that helps bridge research models to deployable, low-latency services.
10 years of coding experience
11 years of employment as a software developer
Bachelor of Science (BSc) Applied Mathematics, Bachelor of Science (BSc) Applied Mathematics at Fudan UniversityShanghai foreign language schoolDoctor of Philosophy (Ph.D.) Computer Science and Engineering, Doctor of Philosophy (Ph.D.) Computer Science and Engineering at Michigan State University
English
Github Skills (36)
python10
acceleration10
machine-learning10
numpy10
deep-learning10
gpu10
neural-network10
tensor10
gpu-acceleration10
autograd9
tensorflow9
compression9
mixture-of-experts8
pytorch7
inference7
Programming languages (3)
Github contributions (5)
ZejiaZheng/multiresolutionDN
Jun 2016 - Aug 2016
Contributions:89 commits, 4 PRs, 55 pushes in 1 month
buttonzzj/cuda_trial
May 2016 - May 2016
Contributions:29 pushes, 1 branch in 1 day
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