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 an employee referral. The process took 3 weeks. I interviewed at NVIDIA in Sep 2024
Interview
There are a total of seven interview rounds, all of which are technical. Even the discussions with leadership are technical, so be well-prepared. The topics range from detailed architecture discussions to deploying LLM models in a cost-effective manner. I found that taking the Mastering LLM interview preparation course helped me a lot.
Interview questions [1]
Question 1
Questions around Quantization, inference optimization , LLM system design
I applied through an employee referral. The process took 2 weeks. I interviewed at NVIDIA (Yoqne`am) in Feb 2023
Interview
I told about myself and some achievements from my cv. Then they spoke about the company and asked a technical question. When answering if you didn’t know they tried to have an open conversation about it and try to see how your mind thinks.
Interview questions [1]
Question 1
How to sort 2 arrays in one of them without using extra space
I applied online. The process took 2 months. I interviewed at NVIDIA in Oct 2023
Interview
3x 45-min technical + behavioral rounds with various senior engineers + manager of team. Mostly leetcode questions + trivia questions related to technologies used in project on resume that relate to the team's work.
Interview questions [1]
Question 1
Introduce yourself / talk about your past experience/background