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 -
Applied with a referral. 2 rounds. One coding question per round. Both interviewer were polite. I got nervous during the second round and messed up a little. They reached out set up interviews and gave me a response pretty quickly.
I got a phone call from a recruiter, and we scheduled a phone interview with the manager where he asked about my background and degree. I later had a 2 hour techincal online interview with the manager
Interview questions [1]
Question 1
Setup and hold constraints for negative and positive clock skew
It was a First round technical interview
Leet code style question, sharing the screen
Firstly introduce our selves then jumped straight in the interview question
Candid interviewer but exercise was hard
Interview questions [1]
Question 1
Leet Code: find k nearest neighbors in some feature space (essentially a database of vectors) for a query vector