{"id":551918,"date":"2026-07-30T21:08:16","date_gmt":"2026-07-30T21:08:16","guid":{"rendered":"https:\/\/www.newsbeep.com\/nz\/551918\/"},"modified":"2026-07-30T21:08:16","modified_gmt":"2026-07-30T21:08:16","slug":"2000-interns-one-mission-shape-the-future-of-ai-at-nvidia","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/nz\/551918\/","title":{"rendered":"2,000 Interns, One Mission: Shape the Future of AI at NVIDIA"},"content":{"rendered":"

Summer means intern season \u2014 and this year, NVIDIA welcomed over 2,000 interns from nearly 300 universities to teams spanning every area of the company, from open source software platforms to hardware verification, gaming technology and autonomous vehicle (AV) development.\u00a0<\/p>\n

NVIDIA internships are taking place in around two dozen countries. One shared theme across each of their experiences: ownership. Interns here aren\u2019t shadowing employees or handed easy tasks \u2014 they actively contribute to the company\u2019s high-priority projects with real-world impact.\u00a0<\/p>\n

This National Intern Day, NVIDIA is showcasing how a group of interns at the Santa Clara campus are making their mark.<\/p>\n

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Krause Contributes to Open Robot Learning Platform<\/p>\n

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Maximilian Krause, a software engineering intern on the NVIDIA Isaac Lab<\/a> team, is spending his summer enabling multiphysics for robotics simulation and reinforcement learning.<\/p>\n

\u201cInterning at NVIDIA, world-class engineers and researchers are just a message away,\u201d said Krause, who just completed a graduate degree in mechanical engineering at ETH Zurich. \u201cWe\u2019re enabling stuff that doesn\u2019t exist yet \u2014 things developers couldn\u2019t do before that they can do now in a really fast and efficient way.\u201d<\/p>\n

Krause\u2019s work contributes to the open source Isaac Lab simulation framework and Newton<\/a> physics engine for simulation-based AI robot training.<\/p>\n

Wolniewicz Wields AI for Weather Forecasting<\/p>\n

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Linnea Wolniewicz, a computer science doctoral student at the University of Hawai\u02bbi, is solving challenges in AI-accelerated weather forecasting through her internship. Her work contributes to two open source projects: the NVIDIA PhysicsNeMo<\/a> framework for AI physics models, part of NVIDIA Agent Toolkit<\/a>, and the NVIDIA Earth-2<\/a> family of open models and tools for AI weather forecasting.<\/p>\n

\u201cIt\u2019s an open science initiative, so everything we produce is open source to help researchers move faster,\u201d she said. \u201cI\u2019d already been following the Earth-2 team from my own research, so it\u2019s honestly a dream to now be integrated into that effort.\u201d\u00a0<\/p>\n

An NVIDIA Earth-2 model architecture, StormScope, is trained on a mix of satellite and ground-based radar data. While satellite data is readily available for the entire globe, radar data is expensive and only publicly available for the continental U.S. and Europe.\u00a0<\/p>\n

Wolniewicz is working on a generative AI model that takes satellite data and generates a prediction of what the corresponding radar data should look like. By tapping this AI-generated radar data, researchers could extend weather AI models like StormScope to any region, even where ground-truth radar data is unavailable.\u00a0<\/p>\n

Anyimadu Adds Insights for Autonomous Vehicle Developers<\/p>\n

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Henry Anyimadu, an intern on the autonomous vehicles software team, is applying his passion for motorsports and engineering to support the AV systems integration and testing team at NVIDIA.\u00a0<\/p>\n

\u201cOur team is responsible for everything that happens between when a developer submits their code for review to it actually deploying on the car,\u201d said Anyimadu, a rising senior studying business and computer science at Washington University in St. Louis. \u201cOver 1,500 engineers across the entire NVIDIA DRIVE platform can use my project to check on the status of their code.\u201d<\/p>\n

Anyimadu credits NVIDIA\u2019s collaborative culture for helping him learn about various AI models and deploy one in his project, a system that helps engineers track the status of their code changes.<\/p>\n

\u201cBeing able to go from having almost no machine learning experience to creating and implementing my own model was a great feeling,\u201d he said. \u201cHaving that amount of knowledge available by just asking people has been really cool.\u201d<\/p>\n

Hu Helps Physical AI Developers Achieve Peak Performance<\/p>\n

\"\"Angelina Hu, a rising junior at the University of Pennsylvania studying computer engineering, is on a team focused on performance optimization for physical AI platforms including NVIDIA Omniverse<\/a> and NVIDIA Isaac<\/a>.<\/p>\n

Hu is helping accelerate and optimize the performance of robotics code for NVIDIA Isaac Lab<\/a> so it runs faster and more efficiently.<\/p>\n

\u201cIsaac Lab is an open source platform, which means it\u2019s for the entire robotics community. That includes researchers, developers, hobbyists and other companies, too,\u201d Hu said. \u201cBeing able to work on that platform means my work contributes to the robotics community as a whole.\u201d\u00a0<\/p>\n

Sanchez Supports System Design for NVIDIA LPU Accelerators<\/p>\n

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Mauricio Sanchez, a returning NVIDIA intern and incoming junior at Georgia Tech, is getting hands on with NVIDIA LPU accelerators on the system design team.\u00a0<\/p>\n

When new boards arrive, he helps with the bring-up process \u2014 seeing if it powers on and that everything is working as expected \u2014 as well as with board-level power sequencing and load stress testing.<\/p>\n

\u201cValidation really stuck out to me because of the physicality of the work I was doing,\u201d Sanchez said. \u201cI\u2019m working with scopes, and the device is there in front of me as we\u2019re finding issues or bugs and communicating that with the broader design team to improve the safety and efficiency of these systems.\u201d\u00a0<\/p>\n

Gautam Applies AI to Enhance Video Games<\/p>\n

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Shriya Gautam, an incoming graduate student in computer science and math at the University of Massachusetts Amherst, joined the AI for Experiences team this summer.<\/p>\n

Her work focuses on client-side frame generation, which uses AI to generate additional frames in a video game based on a rendered frame input \u2014 multiplying the frame rate for a smoother visual experience.<\/p>\n

\u201cI have a newfound appreciation for how much work goes into these games and how much technical innovation has happened in the last few years,\u201d Gautam said. \u201cWith the access to the compute clusters we have at NVIDIA, I learned things I wouldn\u2019t have been able to before \u2014 there\u2019s really no other place you can do these kinds of experiments.\u201d\u00a0<\/p>\n

He Harnesses Multimodal AI for Healthcare Applications<\/p>\n

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Yexiao He, a doctoral student in electrical and computer engineering at the University of Maryland, is developing a vision language<\/a> system that can understand different kinds of medical data, including MRIs, X-rays and CT scans.<\/p>\n

Based on open source models including NVIDIA Nemotron, the system He is working on is self-evolving \u2014 it learns from its past successes and mistakes to improve performance on tasks like analyzing medical scans.\u00a0<\/p>\n

\u201cMedical AI combines two things I care about \u2014 building the most advanced AI systems and solving a problem that really has an impact on people\u2019s lives,\u201d He said. \u201cWe hope to make this self-evolving system more general so it works across many different modalities.\u201d<\/p>\n

Read more about NVIDIA\u2019s internship program<\/a>. Applications are accepted year-round.\u00a0\u00a0<\/p>\n

Follow @nvidialife<\/a> on Instagram and learn more about NVIDIA life, culture and careers<\/a>. <\/p>\n

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