Amin Vahdat

Amin Vahdat is an Engineering Fellow and Vice President for the Machine Leaning, Systems, and Cloud AI team. The team is responsible for product and engineering across:

Compute (Google Compute Engine, Borg/Cluster Scheduling, Operating Systems and Kernel)

Platforms (TPUs, GPUs, Servers, Storage, and Networking)

Cloud AI and Core ML (Vertex AI, training, serving, compilers, frameworks)

Network Infrastructure (Datacenter, Campus, RPC, and End Host network software)

Vahdat is active in Computer Science research, with more than 54,000 citations to over 200 refereed publications across cloud infrastructure, software defined networking, data consistency, operating systems, storage systems, data center architecture, and optical networking.

In the past, he was the SAIC Professor of Computer Science and Engineering at UC San Diego. Vahdat received his PhD from UC Berkeley in Computer Science. Vahdat is an ACM Fellow and a member of the National Academy of Engineering. He has been recognized with a number of awards, including the National Science Foundation CAREER award, the Alfred P. Sloan Fellowship, the Duke University David and Janet Vaughn Teaching Award, the UC Berkeley Distinguished EECS Alumni Award, and the SIGCOMM Lifetime Achievement Award.