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 online. The process took 1 week. I interviewed at NVIDIA (Shanghai, Shanghai) in Mar 2024
Interview
Ask several questions about the graphcis pipeline and the overview of how the GPU execute, several questions about the graphics API usage, how the driver submit the commands to GPU. Then some very simple questions about data structure and algorithm.
Interview questions [1]
Question 1
Describe how to use vulkan, and what should be take care of when create vulkan queues.
I applied online. The process took 3 weeks. I interviewed at NVIDIA
Interview
The process only had 1 interview. Interviewer said position is very competitive. Nice experience, questions were mostly theoretical & quite random, but related to computer graphics. I answered all of them.
I applied through a recruiter. The process took 5 days. I interviewed at NVIDIA in Mar 2024
Interview
There are five technical rounds (including a screening round with the HR) and three managerial rounds to test your communication skills.
The screening round is with the HR to test how much do you know from what's in your resume. Once you clear that, the first technical round is with a Senior Solution Architect. I did not clear the first round.
Interview questions [3]
Question 1
Describe some open source LLM architectures such as Llama, Gemma or Mistral