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 intervew process consisted of 2 tech screens followed by a panel. Interview questions were standard design problems, with Verilog coding ability and problem solving both targeted. Interviewers looked more at thought process than specific syntax.
Interview questions [1]
Question 1
Create a module that implements a vending machine.
two hours, questions : software - coding in c or c++ whatever you want , talk about your cv - projects , courses ... explain how riscv works pipelined stages ...
There is an initial resume screening and then an online assessment. For the online assessment, there were two average coding questions. For the MC section, there were basic operating system questions.