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 online. The process took 2 months. I interviewed at NVIDIA (Taipeh) in Jan 2024
Interview
The interviewer asked me to introduce myself and explain my thesis. The process was smooth. The interviewer showed great curiosity as my topic was quite related to the team. The interviewer also asked about my previous work experience as TA.
I applied online. The process took 2 weeks. I interviewed at NVIDIA in Feb 2024
Interview
This is a role for compiler frontend. Two rounds of prescreening, then four rounds of back-to-back interviews. All interviews include C++ knowledge, leetcode problems or even puzzles. I guess domain knowledge of compilers and C++ is the most important. Interviewers are friendly and open to discussions.
Interview questions [1]
Question 1
Many nuance features of C++, such as move semantics, memory safety of closure capturing references, and compiler basics, such as common tradeoffs in optimizations and introducing language features.
The interview was about an hour long. It was mainly a positive experience. In the first half they introduced the job in the second half a lot of technical questions.
Interview questions [1]
Question 1
Explain what should I do if I notice there is no network in a blade server.