Ho presentato la mia candidatura tramite un'altra fonte. La procedura ha richiesto un giorno. Ho sostenuto un colloquio presso Qualcomm (Hyderabad) nel mese di lug 2022
Colloquio
First round was about testing problem solving skills.It is important to know Data structures and algorithms basic knowledge and strong Problem Solving skills. You are Given a random problem and asked to solve , you need to tell ur approch (could be basic and brute force) and try to improve it.with that exercise you will assessed on problem solving skills try to solve atleast 100 problems ( don't code ) just think and come up with an approch and try to improve it and then u will be able to clear this interview.For example look at water container problem from leet code, it was one of the questions asked to me.Next rounds will be testing deep learning and Machine Learning fundamentals.
Domande di colloquio [1]
Domanda 1
Basic Problems from Leetcode , geeks for geeks like water container problem, deleting an element from the end , finding a duplicate number from an array with all distinctive elements except for one.
Ho presentato la mia candidatura online. La procedura ha richiesto 3 settimane. Ho sostenuto un colloquio presso Qualcomm (Seoul) nel mese di ott 2025
Colloquio
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.
Ho sostenuto un colloquio presso Qualcomm (Hyderabad)
Colloquio
->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
Domande di colloquio [1]
Domanda 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
Ho presentato la mia candidatura online. La procedura ha richiesto 2 settimane. Ho sostenuto un colloquio presso Qualcomm (Bengaluru) nel mese di mag 2025
Colloquio
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
