Qualcomm Machine Learning Engineer Interview Questions
& Process

So the interview process involved like one easy and one medium leetcode problem, then some questions about CNNs, like calculating the number of parameters. They also asked about my project, specifically what dataset and model I used. Then there were some C++ class design questions, and finally, some filter-related questions. It was a mix of technical and some coding.

I was contacted by a recruiter in December 2024 for a Senior ML Engineer role in Qualcomm Amsterdam. They scheduled a phone interview for December 18th, where we talked about my background, CI/CD, and general ML stuff. It seemed to go well. I followed up for updates on January 2nd, 2025, and was told the team was on holiday. After a few weeks of no response to my follow-ups, I CC'd the interviewer from the first call, and the recruiter finally replied, saying they'd get feedback. Two days later, I got an invite for a Virtual Onsite, which they wanted scheduled within two business days, and I had to prepare a technical presentation. The agenda included a candidate presentation, Python skills, software architecture/CI/CD, a behavioral interview, and practical Neural Networks/Deep Learning. But then, the day before the interview, it was canceled because the position was filled. This hiring experience was really unprofessional; the HR seemed disorganized and didn't respect my time. Canceling an onsite after asking for prep reflects badly on them. A heads-up: if your recruiter has a name like First Name, Last Name (Temp), be cautious. Qualcomm tries to copy Amazon's hiring style, but their HR isn't as organized.

The first round focused on problem-solving skills, requiring solid knowledge of data structures and algorithms. You're given a problem and need to explain your approach, starting with a basic or brute-force solution and then improving it. This assesses your problem-solving abilities. It's recommended to practice solving at least 100 problems by thinking through the approach and improvements without coding. For instance, the water container problem from LeetCode was asked. Subsequent rounds delve into deep learning and fundamental machine learning concepts.