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 college or university. The process took 2 months. I interviewed at NVIDIA in Nov 2024
Interview
Not too bad. Behavioral first round questions, then technical second round. Got asked a tricky question in the first round though requiring some analytical thinking. Aside from that, overall interviewers were very friendly and conversational.
I applied online. The process took 4 weeks. I interviewed at NVIDIA (Santa Clara, CA) in Nov 2023
Interview
Interviewed for a Senior AI Software Engineer position at NVIDIA. The interview consisted of three 1-hour sessions with a Senior Director, Senior Manager, and Senior Engineer. We discussed my past projects, my specific roles in those projects, and my background in AI and software engineering. I also shared my thoughts on how I could contribute to NVIDIA's future initiatives. While I wasn't selected for the position, I was left with a very positive impression of both the team and the company, especially the collaborative and innovative environment they foster. It was a great experience overall.
Interview questions [1]
Question 1
What were your main job responsibilities for your previous job?
I applied through college or university. I interviewed at NVIDIA (Bengaluru)
Interview
Panel wise distribution of candidates, two people interviewing one by one and asking questions about projects and codes and furthermore asking more questions about programming and debugging along with code explanation.