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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Mostly a fit based interview with questions around motivation and previous working experience. Also I had to prep a short presentation about how using AI can change an industry of my choosing
I applied online. The process took 2 months. I interviewed at NVIDIA (Santa Clara, CA) in Apr 2024
Interview
It depends on team, certain team the response is slow. Everything is online, and there are multiple rounds of interview in order to get the offer. My role is mainly on the research engineer domain, thus slightly different.
I applied online. I interviewed at NVIDIA (Santa Clara, CA) in Feb 2024
Interview
I applied online.The interview process consisted of two virtual technical rounds. Both are conducted by the team that was hiring on same day, both reviewed my resume and asked both technical and behavioral questions. The interviewers are understanding and friendly.
Interview questions [1]
Question 1
2 technical interview focusing on resume and basic questions on setup time, hold time, how can you overcome it.Basic power related questions.