Deep Learning Engineer applicants have rated the interview process at NVIDIA with 3.4 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 64% positive. To compare, the company-average is 58.1% positive. This is according to Glassdoor user ratings.
Candidates applying for Deep Learning Engineer roles take an average of 26 days to get hired, when considering 11 user submitted interviews for this role. To compare, the hiring process at NVIDIA overall takes an average of 25 days.
Common stages of the interview process at NVIDIA as a Deep Learning Engineer according to 11 Glassdoor interviews include:
One on one interview: 29%
Phone interview: 24%
Skills test: 14%
Background check: 10%
Presentation: 10%
Drug test: 5%
Group panel interview: 5%
Other: 5%
Here are the most commonly searched roles for interview reports -
I applied online. I interviewed at NVIDIA in Jan 2024
Interview
1. First, the role and project was explained by the interviewer
2. I explained my research and a couple of projects that I have done in detail
3. Technical questions related to my research
4. Coding question in an interactive platform
Interview questions [1]
Question 1
Implement a convolutional layer with python and numpy
The overall experience was decent. The first-round interview was reasonable: the interviewer asked detailed questions about distributed training and went through my past project experience. However, the first round explicitly told me the coding portion would not be LeetCode-style questions, but the second round only consisted of LeetCode problems, which I had never practiced. This mismatch between expectations and the actual interview was the main issue.
Interview questions [1]
Question 1
Can you explain the details of how distributed training works, and walk me through your past projects?
One round with the hiring manager on the basics and advanced topics of deep learning, covering the latest developments of transformer architecture as well, parallel training methods, and optimization techniques.
It was good, but interviews were hard
Some of the interviewers didn't seem interested (didn't even turn on his video)
They asked me two leetcode hards in 40 mins which I thought was crazy