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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Got Interview 1st Round was Resume Deep Dive asking me to explain one of my project with a High Level System Design question on rate limitter with some follow ups. It was a medium difficulty interview. I was not proceeded to the next interview round
Phone interview with HR first, received some more details about this role. Moved to the next phase which was an online test. Unfortunately, stopped at this stage, didn't go further.
Approached by the HR to schedule a meeting with 2 software engineers for 2 hours. She didnt asked anything except availability dates for the interview.
At first introduction about the team, then you introduce yourself.
Leetcode questions: group of anagrams, find median in array.
Lastly , questions in general that you have for them.
Interview questions [1]
Question 1
Leetcode questions: group of anagrams, find median in array.