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. I interviewed at NVIDIA in Jun 2025
Interview
Os kernel wuestions and ds from recursion, path find but mostly still os needed, live coding and hackerank theory and code remaining are ok quite oke, thank you for ur time
Interview questions [1]
Question 1
Data algorithms, Operating systems and Data structures
I applied online. The process took 1 day. I interviewed at NVIDIA (California City, CA) in Sep 2024
Interview
Technical screening round- questions were based on digital logic design, computer architecture, and static timing analysis. Questions related to projects that were mentioned in the resume. They provide a whiteboard to draw FSM circuits.
Interview questions [1]
Question 1
Questions on FIFO, FIFO Design, setup and hold time
First round of interview was with the hiring manager. Was not invited for second round. Avergae difficulty interview. A brief conversation about 30 min to assess basic qualifications, communication skills, and initial interest. This helps filter candidates before investing more time.
Interview questions [1]
Question 1
Have you had any experience in handling difficult leaders in the past?