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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The process began with an HR call to discuss the role and my skills, followed by a hiring manager interview focused on my technical experience. The manager repeatedly questioned my suitability due to a technology I hadn’t used recently, despite I've used it in my previous roles.
We then scheduled a technical interview, where I solved two Leetcode-style questions successfully, but the same manager maintained a negative attitude and brought up the same concern again, even though it wasn’t relevant to the questions. The experience left me with a bad impression and feeling unfairly evaluated.
First there is an online hiring test, then three video interviews, asking about your background, some basic knowledge and codin tests. After that, there is an interview with the hiring manager.
Interview questions [1]
Question 1
Differences between mutex and semaphore, how to apply them in practice?
I applied online. The process took 2 weeks. I interviewed at NVIDIA (Yoqne`am) in Nov 2022
Interview
Started with two technical interviews, the first one was with the team lead. Questions: algorithms and OS. Really nice and fair process. Then I had the final interview with HR.