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. The process took 2 weeks. I interviewed at NVIDIA
Interview
Video recorded screen hackerrank with around 90 minutes to complete; 2 leetcode easy problems with some basic concepts tested and hardware multiple choices to do with transistors, circuits and heat sinks.
good interview between us and he is very good and friendly. We asked basic questions about the role and explained the roles and responsibilities what should i do in the company when i get the opportunity to it and also the work must having the targets to completed on the given day
I applied online. I interviewed at NVIDIA (Santa Clara, CA)
Interview
Two phone screen rounds, questions on RTL design, verification, past projects, etc. Focused on Verilog and Python questions. Pretty hard to get the logic right, but the interviewers will help you out if you get stuck.
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