Basic Information
- Name: Sravan K Suresh
- Branch: DD
- Company: Qualcomm
- Duration: 21/05/2025 - 18/07/2025
Domain Targeted
I had been preparing and targeting for a computer vision/AI-ML role since the beginning of the internship season.
Preparation Resources
LeetCode and ML/CV resources from various online blogs and sites like Kaggle, Coursera etc
Interview Experience
Test: The test was relatively easy overall, focusing mainly on theoretical concepts in C and C++. While most questions were straightforward, there were a few tricky ones scattered throughout that could catch you off guard if you weren’t paying close attention. The emphasis was largely on subtle syntactical differences, data types, and the implications of specific language constructs.
Interview: The interview was conducted by an IITB graduate with a Master’s degree in Signal Processing. I had prepared extensively for software-related topics such as DSA, Operating Systems, and Kernels. However, the interview took an unexpected turn and began with signal processing-related questions (Nyquist Sampling, in particular). This was followed by a moderately challenging question from Probability Theory related to packet loss and data transmission in networks. I was then asked a few optimization puzzles. The final part of the interview involved a deep dive into my resume; nearly all of my projects were discussed in detail, especially those involving Machine Learning and Computer Vision.
Other Applications
Yes; Sony, Fractal AI, and AWL Inc. were some of them
Project Work
Role: AI-SW Engineer During my internship, I was involved in the internal testing of a parallel-computing language that is currently under development at Qualcomm for its in-house Neural Signal Processors (NSPs), with the goal of enabling efficient parallel computing and deployment of large-scale models and image processing algorithms. The language functions as an API wrapper around C, so my work required extensive hands-on interaction with C, focusing on low-level programming and performance testing.
Overall Experience
The overall experience was nice. The work culture is extremely employee-friendly. I had the opportunity to explore various ongoing research and development initiatives within the company and gained insights into how Qualcomm is adapting to the fast-emerging technologies and industry shifts. While it wasn’t a high-paying job, it was definitely a rewarding and enriching experience in terms of learning and environment.
Organizational Culture
The organizational culture at Qualcomm is highly collaborative and employee-centric. There’s a strong emphasis on learning, innovation, and open communication. I found the environment to be inclusive and supportive, where even interns are encouraged to share their perspectives and contribute meaningfully. My peers were approachable and always willing to help. Many of the employees were IITB graduates. Overall, it was a culture that promotes growth and teamwork.
Networking Opportunities
Yes, the internship provided several opportunities to connect with professionals across various teams. I was able to interact with engineers and team leads through meetings, technical discussions, and informal catch-ups.
PPO & Future Prospects
Qualcomm seems to be quite open to hiring interns as full-time employees, especially those who perform well during the internship. While they tend to prefer postgraduates for full-time roles, they are still receptive to hiring high-performing interns. For dual-degree students in particular, they follow a system of giving a return-internship offer, which may then lead to a PPO in the following year.
Recommendation & Advice
Yes, I’d recommend this internship as Qualcomm is an established corporate firm and it actively rolls out PPO offers. Also, my department in Qualcomm (AI/Autonomous Driving) is a small but growing one, thus providing good opportunities for learning and innovations. The company supports the interns well by covering all travel expenses and providing accommodation and meals for the entire duration of the internship, which makes the experience smooth and comfortable. As for preparation, it’s important to have a clear and well-structured resume that reflects your strengths accurately. Performing well in the written tests and interviews is equally crucial, so focusing on both technical depth and communication skills is key.