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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An OA followed by a 1 hour interview a few days later. The OA had 3 sections - apti, cs, coding (2 questions). The coding questions were easy enough - one was on priority queues. The interview started with intro the they asked questions from the domain I made my projects on (but not directly on project). Then 2 easy-medium DSA questions - to find missing number, to rotate a matrix. Waa pretty easy other than the domain bases questions which were incomprehensible to me.
It was a technical Interview there was 5 DSA questions, 3 were Easy and the interviewer asked to explain approach and 2 were medium questions. The time of the interview was 45 mins
Interview questions [1]
Question 1
Technical Interview. The questions were from data structures and algorithms
I applied through an employee referral. I interviewed at NVIDIA
Interview
I got phine from the hr, and i got physical interview in their offices in tel aviv, the intervieweres was nice, and the interreview go well but i think that they selected someone before.
Interview questions [1]
Question 1
they asked me about timing, questions about setup time and hold time. like what you can change that reduce the risk of setup violation. or where you put the registers to reduce the risk of set up violation