Machine 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 70% positive. This is according to Glassdoor user ratings.
Common stages of the interview process at NVIDIA as a Machine Learning Intern according to 1 Glassdoor interviews include:
One on one interview: 100%
Here are the most commonly searched roles for interview reports -
There were three interviews in total. One interview was a high-level discussion phase on how I would approach a problem. The other two were one hour each, split between a coding question for 30 minutes and ML research-related questions. There were follow-ups on how you would improve the code. The interviewers were friendly.
Interview questions [1]
Question 1
How would I detect whether a point is within a convex hull? Code up a relevant function.
I applied online. I interviewed at NVIDIA (Hong Kong) in Apr 2023
Interview
2 rounds of interview for minimum, max. 3. The interviewers mainly focus on 1. your language ability, 2. your past experiences (any projects/internships/relevant experiences). The interviewers cares a lot about your past experiences, like how you worked on a project, the technologies you have used in the past, and how you approach a problem encountered.
Interview questions [2]
Question 1
Can you explain your contribution in XXX project shown on your resume?
The questions appear to be focused on project-related issues and programming, as well as inquiries about machine specifications and operating systems. It suggests a desire to acquire knowledge about technical aspects of computer systems, software development, and project management.
Interview questions [1]
Question 1
1.) How dose CNN works 2) what is padding 3) Write a code to make a word palindrome