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 Oct 2018
Interview
The interview started off with them asking me to describe my experience and projects I worked on in my previous company. Then they asked a few questions about basic VLSI
Interview questions [1]
Question 1
Questions about leakage, what is better - header/footer?
Components of leakage, Coupling cap concepts, short channel effect, GIDL/DIBL etc
The interview process was good, but the second interviewer was weird. You get an email from the recruiter, and you are supposed to have 3 interviews before getting an offer. Interviews are conducted through WebEx.
Interview questions [1]
Question 1
Sort an array with only 0, 1, 2 and do it while accessing every element only once and without counting the number of each one.
I applied through college or university. I interviewed at NVIDIA
Interview
One half an hour on campus interview, and two phone interviews each about an hour long. They are very flexible about the time and is will to make alternative arrangement if the given time does not work for you.