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 through an employee referral. The process took 4 weeks. I interviewed at NVIDIA (San Jose, CA) in Aug 2018
Interview
The interviewer was of chinese descent and I had trouble understanding through the thick accent. First few questions were elementary and afterward the focus was entirely on computer science. The job description lacked CS as a prerequisite and was focused on application perspective of deep learning. However I was told later on, it required low level optimization of programs.
Interview questions [1]
Question 1
What courses from computer science have you taken?
I applied through college or university. I interviewed at NVIDIA
Interview
Great Experience. Learn Data Structures and Algorithms and you are all good. They will ask project specific questions as well. Usually 2-3 phone screens. Try to make yourselves relevant to the company or team.
I applied through college or university. I interviewed at NVIDIA in Aug 2018
Interview
The company came to our campus. There were first shortlisting based on the CPGA. Then there was an interview round after some days. The interview lasted for about half an hour. Almost 10 students from 4 branches were there in the interview process. And finally, 4 were selected finally.