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 applied online. The process took 3 weeks. I interviewed at NVIDIA (Santa Clara, CA) in Mar 2018
Interview
2 phone interviews followed by an onsite interview.
First phone interview had a live coding session.
Second phone interview was just being asked in depth technical questions.
Onsite had six interviewers, five of which were strictly technical.
I applied through a staffing agency. The process took 2 days. I interviewed at NVIDIA (Bengaluru) in Mar 2018
Interview
The interview process includes 1 hour Written test followed by F2F interview. The candidates who clears the written will be qualified for the F2F interview. The total process takes 2 or 3 days.
Interview questions [1]
Question 1
Questions were on digital design, FSM, waveform analysis, verilog coding with inter and intra delays, SVA, test bench scenario writing, CPU vs GPU and pipelining.
I applied online. The process took 2 weeks. I interviewed at NVIDIA (Santa Clara, CA) in Feb 2018
Interview
Interview process was smooth without any hassles. I had two phone interviews with Clocks Team at Santa Clara. I was asked application type questions which make you think hard.