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 -
I was interviewed at college campus.Process took 1 day.Firstly their was a test consisting of c/c++ ,DS,OS,quantitative aptitude questions.Later some of them were shortlisted
interview process consisted of
Coding Test(easy)
2 rounds of technical
1 HR round
I applied online. The process took 4 weeks. I interviewed at NVIDIA (Santa Clara, CA)
Interview
Submitted resume and cover letter online and received an email within three days to set up a phone interview. It was relatively straight forward and they invited me to the campus. I met with at least six people to discuss my background and experience. I prepped a lot and the interview ended up being easier than anticipated. Left on good terms and hiring manager told me to expect a call the following week. Unfortunately they told me they had a hiring freeze and the requisition was placed on hold. No offer.
Interview questions [1]
Question 1
The interviewers tested me on my capabilities but I don't recall any difficult questions. Research your position and responsibilities.