Vignesh Ravi is a Director of Software with 12+ years of deep expertise building system software and runtimes for heterogeneous CPU–GPU architectures, currently leading large-scale parallel and distributed deep learning software at Cerebras Systems. His career spans key roles at Intel and AMD, where he worked on GPGPU/fabric architecture, HSA runtime design, and interconnect/runtime development for high-performance and energy-efficient computing. A PhD researcher who produced award-winning work on GPU virtualization and multi-tenant schedulers, he brings rare experience translating cutting-edge research into production-grade tooling and runtimes. Based in the San Francisco Bay Area, he blends low-level systems design with cloud and distributed programming models, and has a track record of delivering novel execution models and power-aware solutions for exascale and AI workloads.
12 years of coding experience
8 years of employment as a software developer
D.A.V Matriculation School, Gopalapuram, Chennai, India
Doctor of Philosophy (Ph.D.) Computer Science and Engineering, Doctor of Philosophy (Ph.D.) Computer Science and Engineering at The Ohio State University
Bachelors in Engineering Computer Science and Engineering, Bachelors in Engineering Computer Science and Engineering at PSG College of Technology
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