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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Interviewed through career fair. Questions are given regarding computer architecture, C/C++ coding, circuit design, FSM. Though questions are seemingly not difficult, they are very difficult to answer comprehensively, and missing points will leave a negative expression.
I applied at the college job fair. They assigned us several problems before receiving resumes. Common digital circuits questions like designing sequence detectors. The booth is small and crowded and noisy and it's a little challenge to answer those questions as quickly as you can do in an exam.
I applied through a recruiter. The process took 2 weeks. I interviewed at NVIDIA in Aug 2013
Interview
Was contacted by a Recruiter on LinkedIn. Sent my Resume, and within days I was contacted to have an on site 1 hour interview with an Engineer.
the interview was simple. I was asked about what I do in my current job then moved quickly to technical questions in C++ even though the positon I was applying for was for SystemVerilog
Interview questions [1]
Question 1
I was asked to solve/find the number of 1s in an given integer number in C++
Unexpected question since the position is for SystemVerilog only