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 process began with a short HR call about studies, availability, and motivation. Later, I had a technical interview with the team manager and engineer, discussing logic design challenges and problem-solving.
Interview questions [1]
Question 1
They asked me to design a state machine that receives 4 input bits and outputs the value of the leftmost bit.
I applied online. The process took 3 days. I interviewed at NVIDIA in Feb 2025
Interview
it is very smooth process and enjoy it a lot. The mentor is very nice and provide a lot of userful suggestions. We discussed the foundaton model of VLA and how to makes uses of control signal.
I applied online. I interviewed at NVIDIA (Santa Clara, CA) in May 2025
Interview
I had four interviews with direct team members, external teams and HR. Mix of technical data questions and behavioral. Interviewer was digging deep into experiences and asking multiple follow ups.
Interview questions [1]
Question 1
Tell me about a time you have worked with unstructured data