Sumit Ahuja

Sumit Ahuja is a Principal Architect at NVIDIA, where they have worked since 2014, focusing on designing memory subsystems and optimizing performance for Deep Learning applications. Prior to NVIDIA, Sumit held positions as a Research Scientist at Intel Corporation, where they specialized in low power micro-architecture optimization, and as a Hardware Engineer at Cisco Systems, contributing to micro-architectural pipeline development. Sumit has also gained experience through various internships and roles at Sequence Design, CebaTech, and Intel Inc. They earned a PhD in VLSI/EDA for Low Power from Virginia Tech and hold a Master’s degree in digital circuits and systems.