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 1 day. I interviewed at NVIDIA (San Jose, CA) in Apr 2012
Interview
I was contacted by the recruiter at NVIDIA. Interview scheduled was taken by a different person than mentioned in email.
Questions were based on resume, setup time, hold time Computer Architecture etc
The process took 1+ week. I interviewed at NVIDIA in Mar 2012
Interview
1) How will you convert RGB to YUV?
2) What is the difference between H.264 and MPEG2 video codec?
3) What are I, P, B frames?
4) What entropy coding is used in H.264?
I applied through college or university. The process took 2 months. I interviewed at NVIDIA (Santa Clara, CA) in Mar 2012
Interview
Applied through on-campus career fair. Contacted by email from HR for 3 rounds of phone interviews. 2 technical and 1 based on resume and experience. Cleared the last phone screen and invited to on-site interview after. Consist of 5 technical interviews with team members and hiring managers. Team members are nice and knowledgeable.
Interview questions [4]
Question 1
How virtual function works. Virtual destructor. Abstract functions.