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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Phone interview, on the call for about 30 minutes, a few challenges but ultimately was a pretty standard interview, nothing stood out. Evverything really just went as I expected it would. Though I didn't move on past this stage, I imagine the technical questions would come along later.
Interview questions [1]
Question 1
What are your aspirations outside of company work?
I applied through college or university. I interviewed at NVIDIA in Jul 2018
Interview
They test a lot of basics of Data Structures and Algorithms. Operating Systems concepts and focus alot on C and C++ concepts and programming, questions on Linux were also asked
I applied online. The process took 4 weeks. I interviewed at NVIDIA
Interview
It was all done over the phone, the team was great and asked interesting questions about projects on my portfolio. I wish part of the process was conducted in person but I appreciate how quickly it could be done over the phone. I spoke with the head of UX, then the head of Visual design, then the head of UX Research. They were all very professional yet easy to speak with and asked provocative questions about specifics in the projects.
Interview questions [1]
Question 1
Tell me more about this project you worked on (referring to my portfolio)