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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The interview was okay. Questions about the job description and basic behavioral questions. Mine was on a team specific to robotics. Overall, I got what you would expect from an interview.
I applied through college or university. The process took 4 weeks. I interviewed at NVIDIA (San Francisco, CA) in Jan 2025
Interview
Made it through 3 rounds. Mostly technical but usually a warm up behavioral team. Technical knowledge questions, CPU v. GPU, computer architecture questions, C++ leetcode easy with bit manipulation and then Verilog question. Doesn't need to compile
5 people an hour each. Some did not leave time for you to ask anything. HR pressed for salary range hold your ground and make them go first. Good luck you will need it
Interview questions [1]
Question 1
Draw diff amp layout on whiteboard over laggy teams connection