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 Feb 2024
Interview
I had a technical interview with the group leader. It was about 30 min, during which we had an in-depth discussion on memory management. We also had some discussion on the comparison between GPUs and CPUs. No math quiz or coding task is involved in the interview.
Interview questions [1]
Question 1
What is the role of IMC in virtual memory management.
1-hour job talk and 6 rounds of 1-on-1 interviews about your research interests and what you want to do at NVIDIA. The whole process is very efficient and people are very friendly.
I applied online. I interviewed at NVIDIA (Zürich)
Interview
Quick and professional interviews with researchers who had looked into my work. A positive experience though it took several weeks to receive feedback. Otherwise quick response time and personalised emails.