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 applied through an employee referral. I interviewed at NVIDIA in Jan 2025
Interview
Interview with 2 team members for one and a half hour. The interview included general questions about my last position and 2 Leetcode questions: one about substrings and the other related to arrays
Interview questions [2]
Question 1
Describe the system you were verifying in your previous role
It did not go as expected, he asked me two question one was binary search and other was bit operation (DSA). I was able to solve the first one but the second one was tough. Interviewer was not very supportive.
It was an online interview. I introduced a project I worked on, they did not want me to go too much into details and an overall was enough. They asked me some technical questions about my experience, what practices I encountered during my previous work experience, etc. It was followed by more in depth leetcode questions.
Interview questions [1]
Question 1
implement a function that will return a fibonacci number (nth index)