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 staffing agency. I interviewed at NVIDIA in Feb 2026
Interview
It was easy, the interviewer was pleasant. There was a small assignment during the interview. They generally assess attention to details. Reading the job description is important and preparing accordingly is a plus.
Interview questions [1]
Question 1
They asked me about me, what makes me a good fit for the role, etc.
I applied through an employee referral. I interviewed at NVIDIA (Bengaluru)
Interview
I had 2 rounds. Questions started with resume work I did and questions on multisensor fusion.
First one focused on resume, OS, cpp OOPS concepts.CUDA and bit manipulation questions. Second rounds was mostly on coding
Array, and medium level questions
I applied through a recruiter. The process took 4 weeks. I interviewed at NVIDIA (Taipeh) in Oct 2025
Interview
1st stage: HR contact around 30mins.
2nd stage: Online test for regarding to Linux operation experiences
3rd stage: Online face-to-face interview with two engineer with two Leetcode hard exams.
No other interview anymore, stopped at 3rd stage interview. Not really easy for the LeetCode even though I didn't get clear about the purposes of that Leet Code exams.
Top companies for "Compensation and Benefits" near you