Nvidia
Ayush Shrivastava is a seasoned engineer specializing in SRAM circuit design and memory IP. Currently serving as a Senior SRAM Circuit Design Engineer at NVIDIA since October 2023, Ayush previously honed expertise at Intel Corporation from September 2015 to October 2023, advancing through roles as Senior Memory IP Design Engineer and Memory IP Design Engineer. Ayush's early career includes valuable experience as a Research Assistant at Arizona State University, where contributions involved ASIC implementation and reliability analysis of PUF in cryptographic modules, as well as serving as a Graduate Teaching Assistant, providing support in various design tools. Prior roles at HCL Technologies as a Hardware Design Engineer and a brief internship at Bharat Sanchar Nigam Limited enriched practical knowledge of telecommunications and circuit design. Academic credentials include a Master's degree in Digital and Analog VLSI from Arizona State University and a Bachelor's degree in Electrical, Electronics, and Communications Engineering from Vellore Institute of Technology.
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Nvidia
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NVIDIA has pioneered accelerated computing to tackle challenges that otherwise can’t be solved. Their work in AI and computer graphics is transforming industries valued at more than $100 trillion, from gaming to healthcare to transportation, and profoundly impacting society. NVIDIA is a place where scientists, artists, creators, and adventurers can do their life’s work. They take on tough problems where they can shape the world for the better, and where they can make a unique contribution. This has guided them into incredibly powerful technological forces and across the world’s largest and most important industries. They are well-known for their RTX and AI technologies more specifically. RTX is everywhere. More than 250 games and apps now use RTX to deliver stunning ray-traced graphics—including AAA blockbusters like Cyberpunk 2077, and digital creation apps like Autodesk 3ds Max, Blender, and the Epic Games' Unreal Engine. NVIDIA GeForce 30 Series GPUs deliver unmatched performance, from high-end rigs to incredibly thin and light laptops. As companies process mountains of data to train and refine AI models, their data centers are essentially becoming AI factories. A whole new type of data center has emerged because of AI. Most recently, NVIDIA unveiled a giant wave of products: the new Hopper GPU and Grace CPU Superchip, new networking technology, new systems, and new software products to power next-generation data centers. AI is the most powerful technology force the world has ever known. NVIDIA AI brings together computer vision, conversational AI, recommender systems, avatars, robotics, and autonomous vehicles. These AI skills are state of the art, trained to be used in production, and used by more than 25,000 companies today.