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 through an employee referral. I interviewed at NVIDIA (Santa Clara, CA) in Jan 2012
Interview
Pretty relaxed interview process. From the get-go, there wasn't really much of a question of whether I'd get hired. I've worked for NVIDIA before, and my research is well aligned with some of the problems that NVIDIA Research is working on. I got the sense that the interviews were just a formality.
Interview questions [1]
Question 1
What is the dimension of the null space of this 3x3 matrix?
1 2 3
12 24 36
4 5 8
I applied through an employee referral. The process took 3 days. I interviewed at NVIDIA (San Jose, CA)
Interview
I got phone interview. They asked me projects on my resume. digital design, verilog and other things. But the end, they start asking me data structure........hash table, binary search tree. I told them I did not review any programming because I thought I was interviewing for a hardware position not software.
Interview questions [1]
Question 1
FSM, setup and holdup time, clock skew.....and hash table. BST
I applied online. The process took 2 months. I interviewed at NVIDIA
Interview
Had 4 interviews 2 on phone and 2 personal interviews. Both the phone interviews were very technical covering topics from CMOS process, STA, ASIC flow, Low Power techniques.