I applied through university. I interviewed at Qualcomm (New Delhi) in Sept 2022
Interview
The interview process was as follows:
1. Online test for 90 minutes with 60 questions - 20 (Aptitude and Logical ) + 20 (Technical MCQ) + 20 (Technical MCQ - Digital or Computer Science based on your choice).
2. Round 1: Technical Interview - Basic questions on your projects, different ML concepts I have worked with, few coding questions and DSA questions were asked.
3. Round 2: More questions from my projects and ML were asked. This round also followed the same template as the previous round but the questions were of higher order.
Then the results were annouced
Interview questions [1]
Question 1
1. Explain what you know about CNN (I had mentioned about this in my resume).
2. Explain about Linear and Logistic Regression
3. From an array, find which pairs add up to a target value - intervener suggested I use Hash Map.
4. Sum of diagonals of a square matrix
5. Basic implementation on Linked List
6. Reverse a Linked List
7. Find the number of set numbers
8. Shortest path in a matrix with the source and destination given
9. Discussion on different Graph and Dynamic Programming algorithms
10. General discussion on Data Structures
I applied online. I interviewed at Qualcomm (Ireland, IN) in Sept 2025
Interview
One interview with ML Related questions and training related questions (overfitting etc).
The person was very nice and understanding, and it looked very professional.
I was also asked about my projects and many details about how it went.
There were 3 rounds of interview. There were 2 technical rounds and 1 HR round. This is apart from the online assessment conducted as screening. It was an on campus opportunity in our college.
Straightforward interview and a cordial interviewer. The interview was conducted remotely over Zoom with one interviewer. The technical and typical interview questions were straightforward, and follow up by email was quick.
Interview questions [1]
Question 1
Technical question regarding how to recognize randomness in a signal.