I applied online. The process took 4 weeks. I interviewed at Qualcomm in Aug 2024
Interview
2 virtual interview - one with recruiter and then with hiring manager.
4 onsite interviews back to back with 1 hour in between for lunch with hiring manager (technically also an interview)
Asked a lot of machine learning questions from my resume and even fundamental questions as well - sgd v/s gd, random forest, bagging, boosting, backpropagation, image recognition, and also some computer architecture
2
Other Machine Learning Engineer interview reviews for Qualcomm
I applied online. The process took 3 weeks. I interviewed at Qualcomm (Seoul) in Oct 2025
Interview
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.
->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
Interview questions [1]
Question 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
I applied online. The process took 2 weeks. I interviewed at Qualcomm (Bengaluru) in May 2025
Interview
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
