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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The process took 1 day. I interviewed at NVIDIA (Santa Clara, CA) in Feb 2009
Interview
Pretty bare bones. We skipped the niceties and went straight into the technical questions. The usual screening stuff. Figure out voltage of circuit of caps in series. Threshold voltage stuff. Transistor sizing, region of operations etc. The questions the interviewer asked made me feel he was more interested in phishing for info about design practices at my current job. He didn't sound too interested about other things, and I didn't feel comfortable with this indifferent approach. Not very personable and didn't sound like someone I would want to work for.
Interview questions [1]
Question 1
12V source in series with 3 caps of so and so capacitance, the last of which is hooked to gnd. If node between the first and 2nd cap is initially open, then closed, what are the node voltages.