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 through college or university. I interviewed at NVIDIA in Jan 2017
Interview
2 back to back phone interviews. First interviewer asked a bunch of LL questions in addition to resume questions. Then he sprung a DP problem at me, which I wasn't expecting (it was for a systems software role). Second interviewer asked lots of OS questions + string manipulation questions. He was much easier.
Interview questions [2]
Question 1
Describe how a semaphore is implemented internally, describe some scheduling algorithms, what is virtual memory, what is the functions of an OS etc
HR called me to have an F2F interview, and scheduled an F2F interview. F2F interview was one hour long, and there was one person who told me that he would be managing this role.
I applied online. The process took 2 months. I interviewed at NVIDIA (Redmond, WA) in Feb 2017
Interview
Good interview, easy questions, very easy to answer and easy to crack the interview for systems guys. I liked the interview was helpful and was also helping a lot. I was aksed to solve every 10 mins.
3
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