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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Interview was easy to medium level focusing on operating system concepts and data structures and Algorithms along with discussion of my projects and a puzzle.Interviewers were friendly and guided actively.
Interview was great . My interview took about an hr . Some Basic Questions mostly about Data handling and Cloud Computing too. Cleared all of the rounds , ML related questions regarding how to handle new LLms etc.
The process took 1+ week. I interviewed at NVIDIA in Feb 2024
Interview
A brief phone call with HR, followed by a lengthy (and partly technical) discussion with the team leader, then interviews with two team leaders, the director, and finally with HR.
Interview questions [1]
Question 1
Networking questions, such as: how data transfers between devices, and the differences between a switch and a router.