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 3 weeks. I interviewed at NVIDIA in Feb 2017
Interview
I had 2 interviews (one with my manager who asked me about my different projects, design decisions, results etc.) and one with another member of the team who asked me to do some coding on coderpad
I applied in-person. The process took 8 weeks. I interviewed at NVIDIA (Reading, England) in Aug 2017
Interview
1 interview on the phone and 1 face2face. Waited 2 weeks without any feedback. I called and was told that they were waiting for a few people to come back from holiday so they could interview me.
After 6 weeks, still no response. I called and was told that the US had found a candidate so its a no, but the guy who interviewed me has given excellent feedback and we are hoping to create another role soon
Completely wasted my time.
I applied through an employee referral. I interviewed at NVIDIA
Interview
Two rounds to three rounds of the phone interview plus one whole day on-site interview. Each round takes around one hour to undergo, covering the project experience and basic knowledge. Different people will interview you to access the technique level and communication skills.
Interview questions [1]
Question 1
Efficient ways to parallelize the matrix-multiplication