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 5 days. I interviewed at NVIDIA (San Jose, CA) in May 2025
Interview
There are a total of 2 Rounds:
1. Asked about past experience, one CUDA programming question (no needs to be runnable)
2. Also asked about part experience, one Python programming question (needs to be runnable)
Interview questions [1]
Question 1
How can you optimize GPU utilization for CUDA programming?
It's an Online interview. There are 4 to 5 interviews arranged in a day, one hour for each, including your manager and your colleagues. Get feedback around two weeks after the interview.
Interview questions [1]
Question 1
domain knowledge as well as easy-medium coding tests
I applied online. The process took 1 week. I interviewed at NVIDIA (Shanghai, Shanghai) in Mar 2024
Interview
The interview questions were fair but difficult, but the interviewer lost interest in me and stopped paying attention halfway in unfortunately. However, these interviews are largely team-dependent; hope you have better luck!
There is an OA and at least 1 technical interview: I am not sure how many more technical rounds there are.
Interview questions [1]
Question 1
- Program matrix multiplication and describe *all* applicable optimizations (they mean *all*)
- Program graph coloring