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).
Here are the most commonly searched roles for interview reports -
First a simple quize. Then phone interview. Then face to face interview.
Questions mainly focused on RTL designing, clocking and timing analysis, computer architecture, and basic programming skills. Also a lot about resume experiences.
Interview questions [1]
Question 1
Clocking and timing analysis about a register circuit.
Contact through recruiter about a support software engineer position, dealing with their mobile solutions.
I only had the first interview with HR asking about my background, experience and personality.
The process didn't continue for the reason that I lack experience since I'm an entry level.
It was unexpected as a reason for me, because they already checked my CV and situation before first contact, so it was kind of a waste of time ...