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 recruiter. The process took 2 weeks. I interviewed at NVIDIA (Santa Clara, CA) in Apr 2018
Interview
Good Experience . Covered basics starting from digital design to c++.
Random comp arch questions as well. More emphasis was made on clock tree synthesis, clock skew , slack, clk jitter etc
3) Flip flop A -> Flip flop B -> Flip flop C - output of Flip flop is C is connected to Flip flop A.
Combinational delay between A and B is 3ns, b/w B and C is 4ns, b/w C and A is 5ns.
Case a) Find max operating freq? [setup = 1ns, hold = 1ns,clock to q =0]
Case b) Now make the flip flop B , neg edge triggered . Find max operating freq?
I applied through a recruiter. The process took 3 weeks. I interviewed at NVIDIA (Austin, TX) in Jun 2018
Interview
Solicitation by the company recruiter followed by the phone screen and on site technical interviews ( full day).
Followed by one more phone interview with the hiring director.
They got back to me after more than a week.
I applied online. The process took 1 day. I interviewed at NVIDIA (Toronto, ON) in Nov 2017
Interview
I interviewed at nvidia on site, went to look at the office and meet the people in the office. Got contacted by recruiter and recieved phone call to arrange for a time.