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 in Jan 2025
Interview
Applied online for the System Software Engineer, Distributed Systems position and recruiter reached out to me to set up a 45 min interview over Teams. Interview was with one of the engineers for the team this position was for. We talked about my previous experience and the role for 15 min. Then he had me do a LC question via HackerRank. Last 15 min was for questions. Thought I did fine, but received a rejection 2 days later.
Four round interview, with first technical round with local manager, followed by collaborative interview with nvidia teams from abroad. Last round is a culture fit interview with the local office again.
I applied through an employee referral. The process took 2 weeks. I interviewed at NVIDIA (Tel Aviv-Yafo) in Nov 2024
Interview
Two technical interviews
following by an HR interview
the interview flow is pretty common and consists of describing the role, then asked to tell about yourself and then technical questions
Interview questions [1]
Question 1
each interview had at least 3 RTL design questions