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 -
Súper confortable and common question given to me. The interviewer was super nice and really valued that I had questions post-interview related to the company. It was an overall positive experience
Interview questions [1]
Question 1
Why would like to apply to this position? And talked about a time you failed.
I applied online. I interviewed at NVIDIA (Taipeh)
Interview
Different interviewers will ask you questions about operating systems and your resume, so make sure you thoroughly understand key technical concepts, common OS topics, and your past experiences in detail.
I applied through a recruiter. The process took 1 day. I interviewed at NVIDIA in May 2025
Interview
Process was odd; no recruiter pre-screen. Interview revealed Nvidia's HR is surprisingly traditional and outdated, lacking strategic focus. This "that's just how we do it" approach was a major turn-off, despite their AI prowess.