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).
Here are the most commonly searched roles for interview reports -
First, I had one technical interview. I was asked questions related to Data Structures and Algorithms, and did a Leetcode style question outloud. Discussed time complexity. Had one behavioral interview afterwards.
Interview questions [1]
Question 1
Tell me about a time you had to work under pressure
Research talk with 2 researchers, talked about my research and what do I want to do in Nvidia. The interviewers were very friendly and had constructive feedbacks. Highly recommend Nvidia!
Interview questions [1]
Question 1
Describe your research.
What do you want to do in Nvidia?
On-site 60 minutes' interview, with one technical interviewer asking you related questions. Like talking about the previous projects you have already done or are pursuing, and selecting some of the professional knowledge to explain them in details.
Interview questions [1]
Question 1
How often do you use the digital programming software?