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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Interviewed for the intern role in 2025. The interview process had a hiring manager round and a coding round. The coding tested my DSA knowledge and I honestly thought it went well.
I applied through a recruiter. I interviewed at NVIDIA in Dec 2024
Interview
2 role-focused technical interviews which included a simple algorithm/problem solving task, 1 standard behavioral interview and a casual conversation with potential manager. I asked about interview scope beforehand and got topics to prepare for which was massively helpful.
Interview questions [1]
Question 1
Design a system in Kubernetes with app using persistent storage.
basic C knowledge with take home assessment for prepare video interview. It seems like they actually bring some code that they are working on right now. Also, they prepare some of leetcode base question.
Interview questions [1]
Question 1
Leetcode pair programming C knowledge basic question