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. The process took 1+ week. I interviewed at NVIDIA (Austin, TX) in Oct 2012
Interview
I had a phone interview after I submitted my resume at a career fair in my university. The process was very good, the HRs were very responsive and quick. The phone interview lasted 1 hr. There were basic questions on algorithms, operating systems and questions like what was the most challenging thing in your academic projects? how did you deal with it etc. Initially in the career fair there was a basic written test I was asked to write which was fairly simple.
Interview questions [1]
Question 1
A function generates uniform random numbers? how will you use it to print all the elements of the array randomly?