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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I applied online. I interviewed at NVIDIA (Haifa) in Jan 2026
Interview
The interview lasted two hours. The interviewers were very kind, professional, and supportive. it was a good experience overall. the place looks good and at first you introduce yourself for about 15 min and then the interview starts.
I applied online. I interviewed at NVIDIA (San Jose, CA) in Mar 2026
Interview
It was screening round. whole interview was based on single Digital Design question. He was not helping me much, when I was not able to solve, I told him about my thinking and then he helped but overall very poor. I was not prepared for it
Interview questions [1]
Question 1
generate a output pulse which is high for one clk pulse and low for N clk pulse. N is 2^n-1. n is input from user
1) RISC - V processor, Pipe lining stages, cache replacement, write back write through , LRU LFU SRRIP
2) questions on setup and hold time
3) Physical design flow, softwares, files used in PD,
4) Dynamic and static power
Interview questions [1]
Question 1
1) RISC - V processor, Pipe lining stages, cache replacement, write back write through , LRU LFU SRRIP
2) questions on setup and hold time
3) Physical design flow, softwares, files used in PD,
4) Dynamic and static power