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 a recruiter. I interviewed at NVIDIA (Taipeh) in Aug 2022
Interview
5 rounds of interview
First round is an online test with a bunch of low-level C programming questions.
2nd 3rd 4th round involves discussion with the interviewer.
Last round is with a higher level manager.
Interview questions [1]
Question 1
How to detect if there's a cycle in a linked list?
First and second technical interview onsite of 2 hours, then HR.
they were friendly and asked about everything on my cv and they tried to assess what i knew, they also asked some behavorial questions
Interview questions [1]
Question 1
Mainly about my experience and past projects. Went through my CV and GS and asked questions. At the end they gave me a block and asked how would i verify it.
I applied online. The process took 4 weeks. I interviewed at NVIDIA (California, MD) in Sep 2024
Interview
Very deep level of interview where in peope from different team reach out to you. I had 5 rounds all from different teams.There is initially phone screening round then a one on one interview and then there would be a loop interview for good 5-6 hours.
Interview questions [1]
Question 1
Tell me about yourself?
How is pro active demand planning done
Different strategies that are used to forecast the demand accurately