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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I applied online. I interviewed at NVIDIA (Santa Clara, CA) in Feb 2020
Interview
The NVIDIA interview process starts with submitting an application and an initial screening by a recruiter. This is followed by technical interviews, often via phone or video, and possibly a coding assessment for technical roles.
Interview questions [1]
Question 1
How do you approach the design and troubleshooting of a new hardware system, and can you provide an example from your past experience?
Conversion style however got to details quickly. It was a comfortable discussion and allowed time for questions at the end. SAP experience seems to be a key. Very busy environment
I applied online. The process took 2 weeks. I interviewed at NVIDIA in Dec 2023
Interview
Discussion on projects I have worked on + they are working on. We discussed ideas to solve their ongoing or upcoming projects. Two coding problems. Interviewer came 5 minutes late and was very rude.
Interview questions [1]
Question 1
* List enumeration problem
* Tree traverse problem