NVIDIA ML Compiler Engineer Intern interview questions
based on 1 rating - Updated May 4, 2026
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ML Compiler Engineer Intern applicants have rated the interview process at NVIDIA with 3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 100% positive. To compare, the company-average is 61.7% positive. This is according to Glassdoor user ratings.
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My 45-minute online technical screen began with a deep dive into the projects on my résumé, especially those involving lower-level systems, C++, and GPU-related work. The interviewer asked me to explain my design choices, debugging process, and how I thought about correctness and performance.
The second half focused more on algorithms and verbal reasoning. I was asked about topological sort: when it applies, how to recognize a dependency-graph problem, and how the algorithm works conceptually. I walked through the idea of using in-degrees, a queue of nodes with no remaining prerequisites, and detecting cycles when not all nodes can be processed.
There was no heavy live coding- the interview was mostly discussion-based, it tested whether I could clearly explain my past projects, reason about graph algorithms, etc
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