Deep Learning Intern applicants have rated the interview process at NVIDIA with 3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 100% positive. To compare, the company-average is 61.7% positive. This is according to Glassdoor user ratings.
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The interview started with a resume deep dive followed by a short basic python coding test. Not leetcode based but more syntax based. After this we continued discussing a project on my resume in more detail.
Asked about the diffusion related project in resume: explain how diffusion work, explain how the scheduler affect the training.
Two coding problem: Write the conv2d function, write an attention module
Interview questions [1]
Question 1
explain how diffusion work, explain how the scheduler affect the training.
The interviewer starts with an introduction to the team and goes through the details of the project in the resume. You are asked to make connections between your experience and what the team is doing