I had two rounds of interviews with NVIDIA.
The first round was for a managerial role and focused mainly on my resume. They emphasized the importance of intellectual honesty and having a “can-do” attitude. The discussion also touched on AI cloud services, with the expectation that I be familiar with NVIDIA’s software stack and related terminology.
For my next round with an architect, I created my own study plan covering GenAI with LLMs, basic concepts of CNNs, deep learning, CUDA, TensorRT, Kubernetes, and more. I was able to answer most of the questions and felt good about the interview. Unfortunately, I was not selected to move forward.
Learn about RAG and Prompt Engineering.
Familiarize yourself with CUDA and TensorRT.
Learn about fine-tuning LLMs.
The following metrics were computed from 1 interview experience for the Nvidia Sr Cloud Architect role in United States.
Nvidia's interview process for their Sr Cloud Architect roles in the United States is extremely selective, failing the vast majority of engineers.
Candidates reported having very good feelings for Nvidia's Sr Cloud Architect interview process in United States.