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 in-person. I interviewed at NVIDIA (Taipeh) in Mar 2024
Interview
It was a System Design Engineer Interview for the Signal Integrity and Power Integrity role. Questions were from CMOS Circuit design, RLC Circuit design, nmos filter questions, PCB design techniques-size, microvias design question for 80 ohm impedance of PCB
Interview questions [7]
Question 1
Explain in detail NRZ and PAM4 encoding techniques.
two interviewers, they asked me about my self, my projects, I explained that then they asked me physical design questions then logic questions, I add here one of the logic questions.
I applied online. The process took 2 weeks. I interviewed at NVIDIA (Santa Clara, CA) in Feb 2024
Interview
1st Round is a 45-60 minute interview with the hiring manager
2nd Round is 5-6 hours interview with several engineers
I do not know the rest of the interview process