How to land a job in AI at Nvidia, according to its top recruiter

• Nvidia is hiring for more than 1,000 jobs in and outside the US — many related to AI.
• The company's VP of recruitment spoke to Insider about how applicants can prove themselves.

Nvidia is powering the AI revolution — and the chip giant is ramping up hiring to keep pace.

The Santa Clara-based company makes GPUs, a specialized computer chip that companies like Microsoft use to train and deploy their own AI models. The crucial chips have contributed to Nvidia's soaring stock — it's climbed over 200% in the last year.

In response to demand, Nvidia has announced plans to triple production of its $40,000 chips, build AI factories, and release its newest, most powerful GPU called the H200 in 2024.

All of this requires human power, which the firm is hiring.

As of November 14, Nvidia has 1,810 open positions openings around the world. The majority of jobs are in the company's engineering department — including chip designers, software engineers, and AI product developers — but there are more than 100 openings across operations, sales, and program management as well.

"We have many opportunities," Lindsey Duran, the VP of global recruiting at Nvidia, told Insider. "A lot of our goals continue to be focused on engineering and AI."

Here are 5 tips on how to get hired at Nvidia, according to a top hiring leader at the company.

1) Emphasize your skills on your résumé

It may sound obvious, but include specific skills on your résumé.

For technical roles related to machine learning and AI, Duran said that Nvidia looks for a strong math background; computer vision proficiency; and knowledge of programming, machine learning, deep learning algorithms, data handling, and the utilization of GPUs.

Outlining this expertise is particularly important for applicants with degrees in humanities, Duran said.

These skills can be applied to Nvidia roles like AI developer, security architect, and generative AI performance engineer — some which offer salaries of as high as $333,500.

2) Articulate how you're more than a degree

Beyond technical knowledge, job applicants should articulate what makes them different, Duran said.

Applicants shine when they clearly communicate their career milestones, leadership capabilities, and personal achievements in their résumé or interview, she added. Showing off past projects, for example, demonstrates problem solving skills, mastery of a particular subject, and impact.

Communicating how you've grown in your career is especially important for applicants who come from non-traditional education backgrounds.

"There's got to be something that shows what makes you unique," Duran said. "There could be many that say "I've got a bachelor's degree, a master's degree," but really, how are you showing on your resume that you stand out?"

3) Show interest in generative AI, but be careful with how you use it

With AI fueling Nvidia, it makes sense that the chip giant considers knowing how to use AI tools such as ChatGPT when hiring.

Still, Duran maintains it's a "relatively new skill" and interest in the topic is paramount to a specific tool.

"The technology is evolving so quickly," Duran said in regards to AI. "We need to find people that are able to learn and grow because in the next few years, there could be new skills that are going to be required."

One thing to avoid: using ChatGPT to move through the application process. Duran said recruiters at Nvidia have caught candidates using ChatGPT during interviews, despite being told not to.

4) Tap into your professional network

Knowing somebody who works at Nvidia can increase your chances of getting hired.

Duran said that Nvidia has a "very strong" employee referral program that the company frequently uses to make hiring decisions.

5) Do an internship

If you're just starting out in your career and don't have the required skills for a particular role, Duran suggests applying for an internship.

Undergrads, master's students, and PhD candidates — even applicants with unconventional backgrounds — are considered for Nvidia's internships, she added.

As of mid-November, Nvidia had 154 internship openings, including sales and research positions.

US-based internships pay an hourly between $19 and $93 an hour depending on the applicant's background.