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).
Here are the most commonly searched roles for interview reports -
2hr phones screen followed by full day panel interview. All interviews were conducted remotely. Interviewers were very friendly. If interviewing for multiple teams just be aware that the recruiters won’t allow you to talk to more than 2 teams if selected for panel. Interview loop roughly took about 1-2 months.
A algoirithm and AI related coding test writing on the paper. Ask the details about your project and all the items listed on your CV. Software Enginner, Software Enginner, Software Enginner,
The questions seem highly specialized, focusing predominantly on intricate details of hardware systems. Answering them would demand a deep understanding of hardware architecture and related technologies.
The interviewer is understanding and willing to listen to detailed responses to the technical questions.
Interview questions [1]
Question 1
The difference between thread and process.
How to find the best block number and thread number.