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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The interview began with several basic Python questions that tested my understanding of core concepts, and then I was asked to solve a medium-level Leetcode problem, explain my thought process, and discuss possible improvements.
Had 5 rounds of interview with engineers, managers and directors and sr directors for this position all located in Israel. All the interviewers were intelligent, knowledgeable and very professional! Just want to call out to Sergey, Pavel, Amichay, Dean and Olga! Hope I get the opportunity to work with all of you!
followed by a quick recruiter screen where they check your background and interest in the role. After that comes a technical phone or video interview with an engineer, where they test your knowledge in areas like Linux, networking, storage, automation, and troubleshooting real-world system issues. If you pass, you move on to panel interviews with multiple engineers and sometimes a manager
and then I got ghosted.
Interview questions [1]
Question 1
A Linux server suddenly becomes unresponsive — how would you go about troubleshooting it?