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 online. The process took 4 weeks. I interviewed at NVIDIA (Santa Clara, CA) in Sep 2018
Interview
Phone Interview asking about my experience in the self-driving car field: such as object classification, object detection, control theory, localization, and tensor flow, Keras. Campus interview asking about other technical on cars.
Interview questions [2]
Question 1
How thick the power cable should be from the battery to car electric motors. What kind of problems you might have?
It was an internal transfer interview and still the candidate had to go through the entire formal interview process. The process was good and most of the team was known so not sure why the formality to have to use up so much time internally.
I applied in-person. The process took 2 weeks. I interviewed at NVIDIA (Santa Clara, CA) in Jan 2016
Interview
Went through several cycles, including a lunch with NVIDIA VP and a director. Then 2 rounds of on-site. Deep technical questions, I didn't have trouble answering. Had a couple junior folks asking programming puzzles (solved all).