NVIDIA interview experience(rejection)

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nvidia
Deep Learning Software Engineer – Inference
June 4, 20253 reads

Summary

My interview experience was a mix of system-level understanding, project ownership, and one solid DSA question. I felt it was fair and relevant to the role.

Full Experience

Started off with a deep dive into my CUDA experience — what I’ve worked on, specific kernels, optimizations, and any challenges I tackled. This led to a series of follow-ups around model serving and my work with inference engines like vLLM.

They also asked:

  • What were your exact contributions to the projects mentioned?
  • What technical skills do you want to pick up next?

DSA Question:

  • Serialize and Deserialize a Binary Tree (Focus was on clean code and optimal time/space complexity)

Interview Questions (3)

Q1
Project Contributions
Behavioral

What were your exact contributions to the projects mentioned?

Q2
Future Technical Skills
Behavioral

What technical skills do you want to pick up next?

Q3
Serialize and Deserialize a Binary Tree
Data Structures & Algorithms

Serialize and Deserialize a Binary Tree (Focus was on clean code and optimal time/space complexity)

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