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Researcher · Engineer · Executive

Mohammad Shoeybi

Mohammad Shoeybi portrait

Senior Director, Applied Research at NVIDIA

Shoeybi led Megatron-LM, which showed how to split enormous Transformer models across many GPUs and train them efficiently. Its parallel-training techniques became foundational infrastructure for scaling large language models at NVIDIA and across the wider AI ecosystem.

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Background

Current role
Senior Director, Applied Research 2019-present
Previously
2017-2019Senior Research Engineer,
2016-2017Research Scientist,
About this data

Work and education history is primarily focused on AI-relevant roles and may not be comprehensive.

Last editorial review: August 8, 2026

Citation Trend

1 snapshots
Citation snapshot on Aug 8, '2619,384Aug 8, '26
19,384citations as of Aug 8, '26
For today’s citation count and citations per paper, visit Google Scholar.