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. I interviewed at NVIDIA (Santa Clara, CA) in Mar 2022
Interview
There are 2 technical interviews then a full loop. First interview went well. Then meet a Chinese interviewer. The interview starts with some introduction. Then they ask a leet code medium question. The accent is very hard to hear thoroughly.
Interview questions [1]
Question 1
Give a tree, check if one nodes come before another node
1hr phone interview. Some intro. then mainly on layout experiences. From floorplan, powerplan, placement, CTS, routing, and STA. Explain each stage briefly, what problem did i meet, how to fix them...
I applied through other source. I interviewed at NVIDIA (Santa Clara, CA) in Feb 2026
Interview
One hour interview asking misc questions about ASIC spice correlation and other.
The interviewer was not experienced enough to evaluate my answers.
She was expecting "her" single answer and would not be open to my own experience.
I did not try to argue but was a little surprise to be interviewed by a person knowing less than me from NVIDIA.
Interview questions [1]
Question 1
Like, how to estimate very accurately silicon performances of a PVT if you don't have silicon of that specific PVT. I ask if I was allowed to run spice simulation, she said "no", and later told me the right way is to simulate Ring Oscillator !!!!