NVIDIA New Grad Interview Process

Hi everyone,

I recently got invited to interview for a DevTech New Grad role at NVIDIA that's broadly related to AI and GPUs. I'm trying to get a better idea of what the technical interviews are usually like.

From the job description, it seems like they're looking for a mix of software engineering fundamentals, performance-oriented programming, some knowledge of AI/ML, and familiarity with parallel computing concepts.

For anyone who's interviewed at NVIDIA recently:

• What was the interview process like, and how many rounds did you have?
• Was it mostly LeetCode, or did they spend a lot of time discussing your resume and past projects?
• How much emphasis was placed on C++, operating systems, computer architecture, performance optimization, or GPU-related concepts?
• Did they expect deep AI/ML knowledge, or was it more focused on software engineering and optimization?
• Were there any topics you wish you had reviewed beforehand?

I know every team is different, but I'd really appreciate hearing about your experience and any advice on how to prepare. Thanks!