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. The process took 1 week. I interviewed at NVIDIA in Feb 2024
Interview
Recruiter reached out to me and sent out my resume to hiring team, First round phone interview with a member of the team. Was asked about my job responsibilities in previous role.
Interview questions [1]
Question 1
They gave a class - asked to create it's objects and send out random objects in a function.
I had a screening round, in which basic behavioral questions and some technical question.
I was asked some programming questions, memory and some data structure.
Overall, the process wasn't that difficult.
I applied through a recruiter. The process took 1 week. I interviewed at NVIDIA (Taipeh) in Feb 2024
Interview
The initial stage involves an online HackerRank test, spanning two hours. It is crucial to remain on the test page throughout this duration, as switching browser tabs is prohibited and will trigger a warning from the HackerRank. The assessment comprises 30 questions covering a variety of topics, including operating systems (e.g., the banker's algorithm, threads, CPU scheduling), programming in C (e.g., structures, unions, strings), security, and several coding problems.
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