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 online. The process took 4 weeks. I interviewed at NVIDIA (Tel Aviv-Yafo) in Jan 2025
Interview
Consisted of 3 parts, went over my studies and academical achievements, was asked to talk about a project i worked on (asked for alot of details). then 2 easy-medium leetcode questions. Followed by two logic questions and one data structure logic questions
Interview questions [1]
Question 1
Given an array with integers, return an the same array where all rows and cols that originally contained zeros are zeroed.
I applied online. The process took 1 day. I interviewed at NVIDIA (Israel, TX)
Interview
talking a bit about my self and what i have learned.
explaining to me the job offered in the company.
asking technical questions and watch how i try to solve them.
I applied through college or university. The process took 4 weeks. I interviewed at NVIDIA (Tel Aviv-Yafo) in Feb 2024
Interview
Personal and knowledge questions.
The interview started with 30 min of explanation about the team,
Mostly basic electric engineering.
Then a design question regarding digital design, with MUX and NAND/NOR gates.
Interview questions [1]
Question 1
voltages across capacitors and resistors mix circuits