{"id":2235,"date":"2022-07-28T19:45:09","date_gmt":"2022-07-28T19:45:09","guid":{"rendered":"https:\/\/salarydistribution.com\/machine-learning\/2022\/07\/28\/1650-global-interns-gleam-with-nvidia-green\/"},"modified":"2022-07-28T19:45:09","modified_gmt":"2022-07-28T19:45:09","slug":"1650-global-interns-gleam-with-nvidia-green","status":"publish","type":"post","link":"https:\/\/salarydistribution.com\/machine-learning\/2022\/07\/28\/1650-global-interns-gleam-with-nvidia-green\/","title":{"rendered":"1,650+ Global Interns Gleam With NVIDIA Green"},"content":{"rendered":"
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A record number of interns calls for a record-sized celebration.<\/p>\n

In our largest contingent ever, over 1,650 interns from 350+ schools started with NVIDIA worldwide over the past year.<\/p>\n

Amidst busy work days tackling real-world projects across engineering, automation, robotics and more, the group\u2019s also finishing up a three-day celebration, culminating today with National Intern Day. Events ranged from tech demos to virtual meditation and yoga classes to an exclusive Q&A with NVIDIA founder and CEO Jensen Huang.<\/p>\n

The three stories below highlight the meaningful work of our interns \u2014 who are roughly half undergrads, half grad students \u2014 and the connections they\u2019ve been forging.<\/p>\n

Bailey Tinkers His Way Into Computer Engineering<\/b><\/h2>\n

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<\/a>Ever since he started tinkering with PC parts at age 12, Darryl Bailey \u2014 a computer engineering student at Georgia Tech \u2014 knew he wanted to work with computers.<\/p>\n

He\u2019s doing just that this summer as an ASIC verification intern on the Compute Express Link team, which ensures bug-free pre-silicon design across multiple GPUs. So far, he\u2019s worked on a dashboard that will simplify the workflows of design verification engineers.<\/p>\n

\u201cThis project specifically has a high impact because the script is going to be used by all design verification engineers at NVIDIA,\u201d he said. \u201cIt\u2019s a really cool feeling to have my code out there in action.\u201d<\/p>\n

Bailey hasn\u2019t just been gaining technical skills here. He\u2019s also honed his work style and learned how to use soft skills to most effectively wield the hard skills he\u2019s acquired at school.<\/p>\n

\u201cThe most important thing I\u2019ve gotten out of this internship is that we\u2019re all just one big team,\u201d he said. \u201cI realized that as much as I want to learn and dive into everything related to computers, it\u2019s also okay to just focus on one thing, because we\u2019re all working together towards the final goal.\u201d<\/p>\n

Kulkarni Pioneers a Path in Engineering<\/b><\/h2>\n

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This summer, Seema Kulkarni, an electrical and computer engineering student at the University of Texas at Austin, joined NVIDIA as a software R&D intern working on NVIDIA Omniverse<\/a>, a virtual world simulation and collaboration platform for 3D workflows.<\/p>\n

Kulkarni comes from a background with limited early exposure to careers in tech. Her academic journey initially suggested a future in finance and marketing. But, wanting to make a more tangible impact, she switched over to engineering.<\/p>\n

\u201cI really loved sitting in on the Women\u2019s Leadership Panel hosted by the University Recruiting team because it felt inspiring to know that even as a woman, you can stay in technical fields for a long time and love it,\u201d she said. \u201cSeeing these female leaders drive innovation here at NVIDIA affirmed that no matter where you\u2019re at, there\u2019s always room to flourish.\u201d<\/p>\n

So far, Kulkarni has been working on projects like building asset validators that will simplify user interface for NVIDIA Omniverse users and debugging Universal Scene Description<\/a> code to resolve critical issues. It\u2019s taught her to be a better software engineer because it\u2019s challenged her to think in the way that the engineers that came before her did.<\/p>\n

Kim Kicks Off Her Second Round in Technical Writing<\/b><\/h2>\n

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<\/a>Writing may not be the first thing that comes to mind when one thinks about an internship at NVIDIA.<\/p>\n

But as JJ Kim, a marketing major from Boston University, points out, communication is key in any business, even in tech.<\/p>\n

This summer, she\u2019sKim is\u00a0 returning for her second stint on the enterprise marketing team as a technical writing intern. She\u2019s assisted with SIGGRAPH<\/a> preparations and is churning out explainer blogs<\/a>, which break down technical concepts in a digestible, approachable way.<\/p>\n

\u201cI always feel like I\u2019m learning new things when I write these explainer blogs because they do such a good job of helping someone like me \u2014 who has limited technical knowledge \u2014 understand what it is that NVIDIA technology does and the impact that it\u2019s making,\u201d she said.<\/p>\n

Kim says what\u2019s brought her back for a second internship is NVIDIA\u2019s inclusive, welcoming culture.<\/p>\n

\u201cEveryone is so willing to help, which makes work feel like such a safe environment,\u201d she said. \u201cI\u2019m not afraid to try new things out or ask questions because I have such an amazing team of experienced people to work with.\u201d<\/p>\n

Read more about <\/i>NVIDIA\u2019s internship program<\/i><\/a>. Applications are accepted year-round.\u00a0\u00a0<\/i><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

https:\/\/blogs.nvidia.com\/blog\/2022\/07\/28\/internship-virtual-2022\/<\/p>\n","protected":false},"author":0,"featured_media":2236,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[3],"tags":[],"_links":{"self":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts\/2235"}],"collection":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/comments?post=2235"}],"version-history":[{"count":0,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts\/2235\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/media\/2236"}],"wp:attachment":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/media?parent=2235"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/categories?post=2235"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/tags?post=2235"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}