Wei Bai

Wei Bai 白巍

Member of Technical Staff
Microsoft AI, Microsoft
Redmond, Washington, USA

Building the networking systems that large-scale AI runs on — reliably, in production.

Work: work email
Personal: personal email

About

I am a Member of Technical Staff at Microsoft AI, where I focus on networking for large-scale AI clusters. Previously, I was a Principal Software Research Architect at NVIDIA and a Senior Researcher at Microsoft Research Redmond. I received my Ph.D. from Hong Kong University of Science and Technology and my B.E. from Shanghai Jiao Tong University.

I have worked on computer networking for over a decade, with a long focus on data center networks and, more recently, the networks behind large-scale AI training and inference. My work spans RDMA, Ethernet transport, congestion control, and production reliability across research prototypes, hardware/software co-design, and hyperscale deployments.

I still enjoy stress-testing NICs and switches until the weak points become clear. Beyond networking, I am increasingly interested in how AI agents can improve engineering workflows and day-to-day productivity.

Outside of work, I enjoy life with my love Zhen Lin between Seattle and Vancouver.

News

Feb 2026 After two unforgettable years at NVIDIA, rejoined Microsoft — now at Microsoft AI, a new chapter!

Recent Professional Activities

Program Committee: APNet 2026
Program Committee: NSDI 2026

Selected Publications

Wei Bai, et al. (71 authors)
NSDI USENIX NSDI 2023
Xinhao Kong, Jingrong Chen, Wei Bai, Yechen Xu, Mahmoud Elhaddad, Shachar Raindel, Jitendra Padhye, Alvin R. Lebeck, Danyang Zhuo
NSDI USENIX NSDI 2023
Zhuolong Yu, Bowen Su, Wei Bai, Shachar Raindel, Vladimir Braverman, Xin Jin
SIGCOMM ACM SIGCOMM 2023

See my full list of publications →