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 Nov 2015
Interview
Two phone interviews, one that checks your personality and asks you about projects youve worked on. The other was more technical and asked some theory questions, based on what was on my resume, like C programming, circuits stuff.
Interview questions [1]
Question 1
What is one thing to look out for when allocating memory?
I applied through college or university. The process took 2 weeks. I interviewed at NVIDIA (Tempe, AZ) in Oct 2015
Interview
Telephonic, over 1.5 hours. Was interviewed by a systems software engineer for their systems software intern position. Got the call through career fair at university where preliminary screening involved a written technical quiz. Call also consisted of coding challenge.
I applied through an employee referral. The process took 2 weeks. I interviewed at NVIDIA (Santa Clara, CA) in Oct 2013
Interview
I applied and received an email a week later, scheduling phone interviews. The phone interviews were over a couple of days and each lasted about 30 minutes. A few days later I was emailed and asked to come in for an on-site interview. I spoke to several managers where they asked me questions for about 30 minutes. I was then asked to complete two research quizzes, which lasted another 30 minutes.