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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They took an online assessment and then selected only a single guy for interview. The interview was about the concepts of operating systems and object oriented programming. There was also a dsa question.
Interview questions [1]
Question 1
They asked about different cpu scheduling algorithm and which one is suitable for what type of processes.
In total 5 interview. Deep technical questions. What was strange, no HR was in involved in these rounds.The interview was quite challenging. It lasted for 4 weeks. Initial response was very slow, after that was faster. The overall experience was fine. I would apply it again in the future.
One round with the hiring manager on the basics and advanced topics of deep learning, covering the latest developments of transformer architecture as well, parallel training methods, and optimization techniques.