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 an employee referral. The process took 1+ week. I interviewed at NVIDIA in Jun 2013
Interview
It all depends on the recruiter. My first interview was great. Discussed products etc.. The second one, was this guy who was all over the place. Was very rude and offensive to the point.
Phone interview
Design gates using CMOS transistors.
Build gates using 2-to-1 muxes.
Write a verilog module that takes a clock signal and outputs another clock signal that is 3 times lower in frequency.
The number of states required for a sequence recognizer.
Interview questions [1]
Question 1
Phone interview
Design gates using CMOS transistors.
Build gates using 2-to-1 muxes.
Write a verilog module that takes a clock signal and outputs another clock signal that is 3 times lower in frequency.
The number of states required for a sequence recognizer.