Glassdoor users rated their interview experience at NVIDIA as 100% positive with a difficulty rating score of 3 out of 5 (where 5 is the highest level of difficulty). Candidates interviewing for Sr. Machine Learning Engineer and rated their interviews as the hardest, whereas interviews for Sr. Machine Learning Engineer and roles were rated as the easiest.
The hiring process at NVIDIA takes an average of 21 days when considering 1 user submitted interviews across all job titles. Candidates applying for Sr. Machine Learning Engineer had the quickest hiring process (on average 21 days), whereas Sr. Machine Learning Engineer roles had the slowest hiring process (on average 21 days).
Here are the most commonly searched roles for interview reports -
I've been working in Silicon Valley for over 10 years and the interview experience was probably one of the worst I have ever encountered. The recruiters are very non informative and non responsive. I had to consistently do their job and follow up with them and they would not even get back to me. Basically gave up pursuing the role after the on-site because of the lack of communication
I applied through college or university. The process took 5 weeks. I interviewed at NVIDIA in Jan 2018
Interview
I had two rounds of phone interviews. Both interviewers are really polite and nice! We talked about projects on my resume and then technical coding challenges.
I applied through an employee referral. I interviewed at NVIDIA
Interview
The interview started with a review of my resume. The interviewer tried to get a sense of what kind of person I was. Then, we discussed three technical questions that increased in difficulty.
Interview questions [1]
Question 1
How do you approach fitting several rectangles/squares that vary in size onto one large square board.