Gokul Nadathur

Manager, PyTorch Distributed at Meta

Fremont, California, United States
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Summary

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Gokul Nadathur is a seasoned engineering leader with 20+ years of experience designing high-performance distributed systems and a decade focused on scalable AI infrastructure. Currently managing PyTorch Distributed at Meta, he drives strategy and core components for large-scale training—everything from TorchTitan and N-dimensional parallelism to the communication layers used in Llama pre-training and recommendation model scaling. His background spans storage and networking performance (NetApp, PernixData) to production ML platforms for Ads, Instagram, and Reels, giving him rare end-to-end expertise from low-level I/O and RDMA to HPC GPU clusters. Known for translating deep systems knowledge into practical, production-grade infrastructure, he blends academic rigor (MS, UW–Madison) with hands-on engineering across startups and hyperscale environments. An underappreciated strength is his knack for spotting cross-layer performance opportunities that unlock order-of-magnitude gains in real workloads.
code10 years of coding experience
job16 years of employment as a software developer
bookMS, Computer Science, MS, Computer Science at University of Wisconsin-Madison
bookB.Tech, Computer Science, B.Tech, Computer Science at Indian Institute of Technology (Banaras Hindu University), Varanasi
languagesEnglish, Tamil, Hindi
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Stackoverflow

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1reputation
0reached
0answers
0questions
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Github Skills (15)

neural-network10
acceleration10
machine-learning10
tensor10
deep-learning10
tensorflow10
gpu-acceleration10
gpu10
python10
numpy10
autograd10
pipeline6
pytorch5
controlling2
deploying2

Programming languages (1)

Python

Github contributions (5)

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gnadathur/Coding

Jun 2016 - Aug 2022

Contributions:6 PRs, 20 pushes, 4 branches in 6 years 2 months
cppc-plus-pluscpp17generic
gnadathur/papers

Jun 2016 - Sep 2016

Contributions:2 pushes, 1 branch in 2 months
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Gokul Nadathur - Manager, PyTorch Distributed at Meta