Qualcomm Computer Vision Engineer Onsite Interview Experience 2025

In January 2025, I had the opportunity to interview with Qualcomm for the role of Computer Vision Engineer. With over 3 years of experience in Machine Learning, all focused on Vision-based projects, t

In January 2025, I had the opportunity to interview with Qualcomm for the role of Computer Vision Engineer. With over 3 years of experience in Machine Learning, all focused on Vision-based projects, this position perfectly matched my profile. I came across the opening on LinkedIn, which redirected me to the Qualcomm career portal. I applied using my existing resume — which already highlighted multiple vision-based projects — and decided not to make any changes this time. I had applied to Qualcomm before but never received a call. However, this time, since the job description aligned exactly with my experience, I was hopeful that I would at least get shortlisted — and I was right. Just two days later, I received a call from the HR team saying that my profile was shortlisted and they wanted to schedule my technical interview. I requested two days to prepare, and they agreed. 🧠 The Interview — A 2.5 Hour Deep Dive When the interview began, the interviewer mentioned something that surprised me — “This interview will last around two and a half hours, divided into five sections of 30 minutes each. If you need a break in between, just let me know.” This was going to be the longest interview I’d ever given, as most of my previous interviews lasted a maximum of 1.5 hours. He outlined the five sections: Introduction and Behavioral Questions Project Discussion DSA (Data Structures & Algorithms) Computer Vision Advanced AI/ML & Personal Interests He also gave me the freedom to choose the order of the first two sections. Since DSA is one of my strengths, I opted to start with Introduction followed by DSA. 🗣️ Section 1: Introduction & Behavioral Questions This part went really well. We discussed my background, work experience, and personal journey. He also asked how I handle challenges, my strengths, weaknesses, and how I approach problem-solving under pressure. It was a great conversation, setting a comfortable tone for the rest of the interview. 💻 Section 2: DSA (Data Structures & Algorithms) He asked me two problems, both of which I solved within 15 minutes each. Since we still had time left, he appreciated my clear explanations and smooth logic, and we moved ahead to the next section early. 🧩 Section 3: Computer Vision Here, he tested my domain expertise. We discussed CNNs, R-CNN, YOLO, and various object detection architectures. The questions were detailed but aligned perfectly with my experience, so I was able to answer them confidently. 🤖 Section 4: AI/ML Discussion This was the most interesting part of the interview. He presented real-world problem scenarios and asked how I would approach them using machine learning or vision-based techniques. We discussed model selection, optimization, evaluation, and deployment challenges in depth. I shared my thought process and practical viewpoints, which led to a very interactive and insightful discussion. 💼 Section 5: Project Discussion In the final section, I walked him through all my major projects — from dataset preparation and model training to optimization and deployment. He asked a few counter-questions about my technical choices, and I explained them clearly. By the end, he seemed quite satisfied with my explanations. The interview wrapped up on a very positive note. 📩 After the Interview A week

passed without any update, so I reached out to the HR for feedback. She responded that my interview performance was really good, but unfortunately, the position had already been filled. She assured me that my resume would be kept on record for future openings. 💡 Final Thoughts Although I didn’t make it this time, the Qualcomm interview was one of the most structured, in-depth, and well-conducted interviews I’ve experienced. It tested not just technical knowledge but also clarity of thought, communication, and problem-solving approach — everything you’d expect from a top-tier tech company. I genuinely appreciated the experience and hope to get another chance in the future. Sometimes, it’s not about the offer — it’s about the learning and confidence you gain from the process. 🚀