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).
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I applied through an employee referral. The process took 4 weeks. I interviewed at NVIDIA in Jan 2019
Interview
I had a preliminary call with the hiring manager. This call was just for checking the applicant is fitted with his team or not. After that I had a phone interview for evaluating coding skills. He also asked me about my background and experiences.
I applied through college or university. The process took 2 weeks. I interviewed at NVIDIA in Jan 2019
Interview
Had 2 phone interviews after submitting my resume at a career fair. Questions were mostly basic coding interview questions in C/C++. Anticipated more hardware design questions, but there was only one about an FSM.
Interview questions [3]
Question 1
Write a C++ function that returns the second largest number in an array
I applied through college or university. I interviewed at NVIDIA (Pune) in Feb 2019
Interview
Aptitude + technical +techno HR The first round was offline mcq and then shortlisted students had different no interviews depending on their performance.
I gave total of 2 interviews first was on data structures and algorithms and second was on technical and HR.