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 (Stony Brook, NY) in Feb 2016
Interview
2 rounds of technical discussions where they asked about kernel programming, mutex , multithreading. Some questions were analytical and other were mostly technical. It also included data structures and algorithms questions.
I applied through college or university. The process took 1 day. I interviewed at NVIDIA (Bengaluru) in Aug 2016
Interview
The first round would be the technical aptitude which is purely based on core microprocessor and micro controller. So anyone attending the interview for the intern post at the nvidia you should aware of the present processors technology. In aptitude, there will be questions based on explanatory like your dream mobile phone/computer.
I applied through college or university. The process took 1+ week. I interviewed at NVIDIA in Feb 2016
Interview
Submitted Resume at career fair and applied online. Has 2 phone Interviews one with team lead and other with manager.One was on resume and basic screening questions.
Other was completely on a project which I had done under professor falls in line with what the team does.