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 a staffing agency. The process took 1 day. I interviewed at NVIDIA (Bengaluru) in Mar 2017
Interview
There was a written test which consisted of quantitative aptitude, logical reasoning, OS and Programming.
After that there were 2 Tech rounds followed by managerial and HR Rounds.
Using quant and LR for judging people with 3 years experience isn't that fair. People who have done training for CAT or GMAT have a clear advantage.
Interview questions [1]
Question 1
Mostly data structures, Java Internals, Multhi Threading
I applied through college or university. The process took 2 weeks. I interviewed at NVIDIA in Nov 2015
Interview
telephone interview with one interviewer for a total of one hour. Lots of questions about basic c# language and statistical principles were asked. Interviewer was tough but fair with lots of good feedback. They look for higher intelligent and motivated individuals. Got response a week after the interview
I applied in-person. I interviewed at NVIDIA (Santa Clara, CA) in Feb 2016
Interview
5 rounds of interview out of which three rounds focused on coding. Two rounds involved architecture and design. It easier if you have an internal reference. The architectural questions involved server design and deployment approaches. The second question was around finding the median of a trillion plus integers.