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 college or university. The process took 3 months. I interviewed at NVIDIA (Santa Clara, CA)
Interview
Two interviews, both with people on the team. The first was with a senior engineer who asked general technical questions and a couple behavioural and the other was another engineer who asked about my class experience and gave me 3 Leetcode easy questions
I applied online. The process took 1 week. I interviewed at NVIDIA (Israel, TX)
Interview
1. HR short phone call - 5 minutes.
2. General conversation with the team lead - 30 minutes.
3. Technical interview with the team lead and another senior engineer. were asked 2 LeetCode style questions (easy-medium).
Interview questions [1]
Question 1
1.Input of matrix MxN -> for each index i such that the matrix value is 0 - change all values in row i and col i to 0.
2.Input of string contains only 0-9 chars -> write a function that return all valid IP Addresses that can be constructed from the input string.
Interview via temas with 2 engineers.
talked about the team and the job and then I spoke about my experience. the interview includes 2 array questions and a design question.