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).
Here are the most commonly searched roles for interview reports -
Smooth, very chill. Didnt asked too many questions, interview went smoothly. Liked my experience in AI, Machine Learning and offered the position immediately. Asked about how to do end-to-end validation, automation, and coverage-driven verification.
Applied to general software engineering internship posting, I was contacted by a Nvidia recruiter a few months later and they asked about availability and when they could book an interview.
I applied through an employee referral. The process took 2 weeks. I interviewed at NVIDIA (Santa Clara, CA) in Apr 2026
Interview
The interview was good. The questions covered low-speed I/O, the differences between SPI, I2C, and I3C, debugging signals using an Oscilloscope (which is high speed and which is low speed), and images of I2C signal readings.
Top companies for "Compensation and Benefits" near you