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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I took only the online test, I don't know what there is in the next stages at all. The platform was quite user friendly, the demo is not really related to the questions asked in the actual assignment.
Interview questions [1]
Question 1
They asked questions about Linux, Networking and coding questions
I applied online. I interviewed at NVIDIA in Feb 2026
Interview
First round was a 2-hour interview with two of the senior engineers on the team I'm interviewing with, much of it was talking about past internship experiences and past projects, and then 2 whiteboard questions that are simple leetcode style questions, the first one was explained very bad so I missed some details and didn't get it right, the second was fine but didn't have enough time due to speaking too much about past experiences
Interview questions [2]
Question 1
Parse an array of strings and for each string starting at a certain place, make sure a pattern in it exists in a previous string
I was asked two questions during the interview, one of which was the zero-matrix problem, where you are given a matrix and need to set an entire row and column to zero whenever a zero appears in the matrix.
Interview questions [1]
Question 1
Zero matrix problem, where you are given a matrix and need to set an entire row and column to zero whenever a zero appears in the matrix.