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 had three rounds back-to-back with different team members, and they were pretty nice. I worked on paper and showed the interviewer what I drew. Interviews were for the summer internship only.
Interview questions [1]
Question 1
SRAM, regex, python, boolean logic, digital logic, layout
Only took part in the first part. Was asked about cpp data structures and algorithms and a lot of question from operating systems which I was not ready for but could be expected in a hardware-ish comapny
I applied online. I interviewed at NVIDIA (Austin, TX) in Jan 2026
Interview
every round involved coding challenged while they watched on hackerank. first round was easy with a fizzbuzz challenge then it becamse very difficult as you aren't allowed to lookup anything