->One easy and one medium leetcode level problem
->CNN based number of parameters calculation
->About project , what dataset was used ,what model was used
->C++ class based questions , design a simple class
->Filter related questions
Preguntas de entrevista [1]
Pregunta 1
->One easy and one medium leetcode level problem
->CNN based number of parameters calculation
->About project , what dataset was used ,what model was used
->C++ class based questions , design a simple class
->Filter related questions
Me postulé en línea. El proceso tomó 3 semanas. Acudí a una entrevista en Qualcomm (Seúl) en oct 2025
Entrevista
I applied online. The first round is an online technical assessment on computer science & machine learning basics. Once passed, there is another technical interview via Zoom, with a focus on deep learning & coding.
To be fair it wasn't particularly difficult, but I wasn't well prepared and there's a little bit of language barrier (korean & english), so I didn't get an offer in the end.
Me postulé en línea. El proceso tomó 2 semanas. Acudí a una entrevista en Qualcomm (Bengaluru) en may 2025
Entrevista
Implement Causal Masking in decoder only architecture using Pytorch.
What is grouped query attention.
What is Mixture of Experts.
Difference between encoder only architecture and decoder only architecture.
Explain convolution operation in CNNs.
What is NMS algorithm in YOLO