Nvidia’s market capitalization hit $3 trillion in June, making it one of the most hotly-watched companies in the world.
Plus, he receives roughly half of that amount each year in restricted stock units (RSUs). So it’s no wonder the company is an attractive place to work, ranking second on Glassdoor’s 2024 Best Employers list.
A company spokesperson told Fortune last year that the company plans to hire 1,500 interns in 2022 and about 600 in the summer of 2023.
Getting an internship at a big tech company can be tough. Linh Nguyen, university recruiting manager at Nvidia, offers advice to internship seekers in a blog post:
Applicants for an Nvidia internship must have the technical skills necessary for the job, and Nguyen said they look for candidates with strong problem-solving, reasoning and communication skills.
Prospective interns can set themselves apart and impress Nguyen by having a strong understanding of the company’s mission and experience using the company’s technology.
“I’m always impressed when students leave with a deeper understanding of our mission and impact, or have first-hand experience using NVIDIA technology,” she said in a company blog.
Here are her three top tips to help you land an internship at Nvidia.
Understand Nvidia’s broad range of business and technologies
Applicants can learn more about the company’s products and services on its website, and also read about what one employee learned after five years with the company.
Find out why people are passionate about technology
People who understand why they are passionate about working at Nvidia are likely to be better candidates.
Focus on applying to 2-3 roles
Instead of “applying to 50 so-so jobs,” Nguyen suggests applying to up to three jobs that you’re passionate about and where you feel you can have the biggest impact.
Students interested in applying for an internship at Nvidia can search for open positions on the company’s University Recruiting careers page. The hiring phase will begin in the fall.
An India-based Nvidia software engineer previously told BI that the hiring process was very easy.
He first had a coding interview where he was asked about data structures and algorithms, then he had a phone interview with a recruiter, followed by two technical interviews. He says that his working knowledge of data structures and algorithms helped him get the job.
Nvidia declined to comment.
