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).
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It was the first round of interviews which went on for less than 45 minutes and was one of the worst experiences I have ever had. The interviewer was least interested in interviewing me and did not turn on his video either. I felt really bad after the interview was completed, as he did not even greet me at the beginning of the interview and was laughing very loudly when I answered a couple of questions wrong. I do not want to assume anything, but I believe that the interviewer decided to not hire me from the beginning just because of my race.
I applied online. The process took 1 day. I interviewed at NVIDIA (San Jose, CA) in Jan 2024
Interview
Asked coding question. The majority of the decision was made based on how well you code. the interview was one hour 30mis coding 30mis talking. Talking does not impact the interview process
I applied online. The process took 3 weeks. I interviewed at NVIDIA (Santa Clara, CA) in Jan 2024
Interview
2 Technical interviews. 1:15 each. Questions were based on Computer Architecture, GPU Design, Verilog programming and OOPS. Some questions regarding future of AI/ML and how CPU designs have been influenced by ML.
Interview questions [1]
Question 1
Different ways in which you can make an Single cycle processor increase throughput?