James Zeng
Head Of GPU Communication, AI Networking
Menlo Park, California, United States
Summary
👤
Senior🎓
Top SchoolJames Zeng is a Senior Engineering Manager with 17 years of experience leading large teams to build and operate high-performance networking and AI infrastructure at Meta from datacenter routing to GPU collective communications. He currently heads AI Networking, designing RDMA/RoCE traffic engineering and production-grade collective libraries (NCCL/RCCL and a bespoke MTIA stack) that move GPU-to-GPU traffic at datacenter scale. His background blends deep academic research (PhD in Computer Networks from Stanford) with hands-on systems work across traffic engineering, BGP/OpenR routing, and NetFPGA/SDN projects, and he has driven teams that publish and present at SIGCOMM/NSDI/IMC. Based in Menlo Park, he’s known for turning cutting-edge research into reliable production systems and for leading large multi-disciplinary teams through complex, cross-stack infrastructure challenges.
17 years of coding experience
6 years of employment as a software developer
BSc Electrical Engineering, BSc Electrical Engineering at Tsinghua UniversityPhD Computer Networks, PhD Computer Networks at Stanford University
Github Skills (23)
python10
machine-learning10
deep-learning10
gpu10
hacklang9
facebook9
numpy9
barrage9
neural-network9
php9
gpu-acceleration8
autograd8
virtual-machine8
hhvm8
data-exchange8
Programming languages (4)
Github contributions (5)
eastzone/atpg
Sep 2012 - Aug 2015
Automatic Test Packet Generation
Contributions:20 commits, 3 pushes in 2 years 11 months
eastzone/frmp_router
Jun 2009 - Aug 2009
Contributions:3 commits in 1 month
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