Distinguished Engineer, Accelerated Compute And AI System Architecture
Austin, Texas, United States
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Summary
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Rockstar
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Top School
Abhinav Vishnu is a Distinguished Engineer specializing in accelerated compute and AI system architecture, currently driving performance and system-level design for NVIDIA after a senior technical leadership stint at AMD. He has a decade-plus career focused on performance modeling and optimization of deep learning workloads—especially large-scale training and generative inference—across AMD GPU families and beyond, with work that informs silicon validation, software tuning, customer deployments, patents, and publications. His expertise spans modeling GEMMs, collectives, and operator kernels at SoC and hyperscale system levels, with a particular interest in systems larger than today’s biggest supercomputers. Former roles leading scalable ML research at PNNL and academic work on high-performance MPI underpin his strengths in distributed algorithms and communication-computation co-design. He is pragmatic about closing the loop from modeling to software optimizations and routinely adapts public models (e.g., Hugging Face benchmarks) to project real-world performance. Based in Austin, he combines deep research pedigree (PhD) with hands-on impact on production GPU platforms.
10 years of coding experience
20 years of employment as a software developer
High School High School, High School High School at Delhi Public School - VidyutNagar
BTech Computer Science, BTech Computer Science at Indian Institute of Technology (Banaras Hindu University), Varanasi
PhD Computer Science, PhD Computer Science at The Ohio State University
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Abhinav Vishnu - Distinguished Engineer, Accelerated Compute And AI System Architecture