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 by friend reference for the web developer internship. The recruiter contacted me and scheduled a phone interview using Webex. The interview was all about talking resume and previous projects.
Interview questions [1]
Question 1
Only talk about resume. Ask about why how you implement it in detail.
I applied online. The process took 4 weeks. I interviewed at NVIDIA (Santa Clara, CA) in Dec 2018
Interview
I had a phone call by a senior member of the group, 2 weeks after, get an on-site interview invitation by the hiring manager. On-site starts at 10 am, ends at around 5 pm. Totally 6 round of 1:1, including VP and manager. Most questions are technical, few are behavioral.
Interview questions [1]
Question 1
Timing closure. How noise(cross-talk) affect setup/hold? How metal dimension affect timing?
I applied through a recruiter. I interviewed at NVIDIA in Oct 2018
Interview
Several round of phone interview and home work assignment. The phone interview include some IQ test, technical questions about ML/Cuda, simple math. After that there are two home work tasks about algorithm and Cuda.
Interview questions [1]
Question 1
1. Machine learning and deep learning questions, like bias vs variance, parallel mini batch training.
2. Cuda optimization questions