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 -
I applied through a recruiter. I interviewed at NVIDIA (Tel Aviv)
Interview
Talked to GL and explained what I do at my job.
Had a brief explanation what they do in his team. Was pleasant talk.
HR was not so professional as the manager, rescheduled the interview multiple times and across multiple sites. The interview was great ! Great atmosphere !
Interview questions [1]
Question 1
Design a system to transfer BE integration units to the factory.
first round is call interview
second round is 4 hours on-site
got declined in a week
first round is call interview
second round is 4 hours on-site
got declined in a week
I applied online. The process took 4 weeks. I interviewed at NVIDIA (Santa Clara, CA) in Aug 2025
Interview
30min teams interview
Starting with my introduction about my most related experience, which is followed up by very extensive and detailed questions about the technical detail and division of labor
Then a free form 10 min basic coding question for both python and c++
Ending with me asking questions about the position
Interview questions [1]
Question 1
What's the division of labor and what's your contribution?