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 -
Unfortunately the hiring manager fell sick and couldn't be present. The replacement interviewer was only cynical from the get-go and couldn't convince them otherwise trying only to find flaws in my resume. They didn't even turn the camera on during the interview which was a put-off.
Interview questions [1]
Question 1
Several questions on experiences with prior SoC complexity.
I applied through an employee referral. I interviewed at NVIDIA
Interview
The interviewer asks you personal questions about yourself and your work experience. Then moves on to technical questions. After that, you go through 2 more similar interviews if you pass the first one.
Interview questions [1]
Question 1
Where did you study and where did you work before?
I applied through a recruiter. I interviewed at NVIDIA
Interview
It was a mixture of behavioral and technical. They will grill you about your resume and ask follow-up questions. They'll also test your knowledge of data structures, such as the definition of lists, classes, hashmaps, and the Init function in Python.
Interview questions [1]
Question 1
They asked for the definition of lists, classes, hashmaps, and the Init function in Python.