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 -
I applied through college or university. I interviewed at NVIDIA
Interview
First time: Ask for research project. Introduce his team and let me ask questions. No coding questions. Lasted about 30 mins.
Second time: Still discuss my research project in depth. One coding concept is asked but no puzzled is asked to solve. Then my question time. Lasted about 50 mins.
Interview questions [1]
Question 1
What is virtual function? What is destructor? What is virtual destructor?
I applied through college or university. I interviewed at NVIDIA
Interview
I was given a sheet which contained three questions and was told that i would be called in two weeks or so. the questions were kind of tough for my friend. he was asked to write really long programs.
I applied through college or university. The process took 1 day. I interviewed at NVIDIA (Vāranāsi) in Aug 2012
Interview
Pretty quick interview , just wanted to check basics . Asked few HW design questions regarding FSM . Then few SW questions regarding tree walk algorithms . Then asked about general trend in Low power design for SOC