Data Science applicants have rated the interview process at NVIDIA with 3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 55% positive. To compare, the company-average is 58.1% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Science roles take an average of 49 days to get hired, when considering 11 user submitted interviews for this role. To compare, the hiring process at NVIDIA overall takes an average of 25 days.
Common stages of the interview process at NVIDIA as a Data Science according to 11 Glassdoor interviews include:
Phone interview: 33%
One on one interview: 13%
Group panel interview: 13%
Skills test: 13%
Other: 13%
Personality test: 7%
Background check: 7%
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The first round interview was mostly behavioral and questions about your past projects. My interviewer told me that I did well and even verbally confirmed that he would move me on to the next round. I received a rejection email from HR two weeks after. A rejection without the verbal confirmation would have been completely fine, but rejecting a candidate after telling him he's already made it to the next round? Highly disrespectful and unprofessional
I applied online. The process took 1+ week. I interviewed at NVIDIA (Tel Aviv-Yafo) in Jan 2026
Interview
This was a technical interview . Including a leetcode question (medium) on a whiteboard and a design question . The interviewer was nice and explain the role and the demands elaborately. The
The process started with a recruiter screening where we discussed my background, the role expectations, and some logistics. The recruiter was friendly and gave me a clear idea of the next steps.
The technical round came next and included a mix of SQL, probability, and machine learning questions. I was able to answer most of them confidently, though there were a couple of curveballs—especially around feature engineering for time-series data. The interviewer was professional but a bit reserved, so it was hard to gauge how I was doing in real-time.
Conversation and questions about my prev work. I mostly talked and explained about projects i was involved with and they asked following questions. Finally one or two professional questions. Generally nice people