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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It was the first technical interview:
First, they ask about me and my experience.
Then Questions about the place and why I wanted the role.
Indeed, they asked a couple of questions about networking and how it works (TIER 2 and 3).
In the end, they asked me the question that I mentioned before.
Interview questions [1]
Question 1
They gave me a URL to an API request in JSON format and asked me to get value from the last attribute
I applied online. The process took 4 weeks. I interviewed at NVIDIA (Santa Clara, CA) in Jan 2024
Interview
One round of interview, is not easy. About operating system, using C to implement a producer and consumer loop. Also asking operating systems. Not leetcode challenge, so it's hard to prepare.
technical question about linked lists and about finding the common node in two lists
also a question about saying true or false if out of ticks there was 10 times of 1's
1
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