Machine Learning & Artificial Intelligence Engineering Internship

Before there were smartphones or smart cities, before autonomous cars or 360 virtual reality videos, there was our technology. Headquartered in San Diego, for over 30 years Qualcomm’s inventions have inspired others to make the impossible, possible. From 5G to artificial intelligence, IoT to automotive and extended reality applications, Qualcomm is inventing the technologies of an intelligently connected future, spearheading research efforts for the next global wireless standard, and collaborating with industry leaders in the wireless value chain to make this future a commercial reality. You’re bringing skills. We’ll provide the environment and the experience to push your limitless potential. Join us for our U.S. 2025 summer intern class! 

As a Machine Learning/AI Engineering Intern you will be involved and participate in building best-in-class solutions and tools needed to enable state-of-the-art technologies for next generation mobile/embedded machine learning platforms for smart phones, autonomous vehicles, robotics and IOT devices. In this role, you will work in a dynamic research environment, be part of a multi-disciplinary team of researchers and software developers, collaborate with internal teams, work with popular neural network frameworks, and understand the architecture of Qualcomm’s SOC compute and ML HW accelerators. You will design, develop & test software for machine learning tools and frameworks that enable making models smaller and run efficiently on all edge devices.

Minimum Qualifications

• Currently enrolled in a bachelor’s, master’s, or Ph.D. degree program in computer engineering, computer science, electrical engineering, or a related field 

• 1+ years’ experience with programming language such as C, C++, Python. 

• Must be available for 11 – 14 weeks during Summer 2025 (May-September) with a graduation date of December 2025 or later

Preferred Qualifications

• Proficiency in deep neural networks, machine learning algorithms, and architectures, including CNNs, RNNs, and LSTMs.

• Experience with deep learning and machine learning frameworks like TensorFlow, TFLite, PyTorch.

• Skills in neural network programming, video/image processing, and application development.

• Knowledge of compiler frameworks (LLVM, GCC, TVM, XLA) and parallel computing.

• Understanding of mathematical operations in linear algebra and fast math libraries.

• Theoretical knowledge of machine learning, deep learning, model compression, quantization, and optimization.

• Experience with reinforcement learning, neural architecture search, kernel optimization, and Bayesian optimization.

• Proficiency in on-device training, transfer learning, personalization, federated learning, NLP, and security and privacy in machine learning.

• Experience with deep generative models, audio/speech processing, NLP, computer vision, and wireless communication.

• Previous work on machine learning data pipelines, data management, and both backend and frontend applications.

• A track record of research excellence with high-quality publications in conferences like NeurIPS, CVPR, ICML, ICLR, and ICCV.

• Experience in object-oriented software design (OOSD).

• Candidates currently enrolled in a Master’s or Ph.D. degree program in computer engineering, computer science, electrical engineering, or a related field.

• Candidates actively pursuing a degree with an anticipated graduation within the upcoming year preferred Dec 2025 to June 2026.

Qualcomm’s Internship Program

Our interns join world-class teams to help define and build what is next for mobility and the world.  You’ll be paired with a mentor with visibility to your project and team, receive support from your manager, and have access to the entire Qualcomm employee community to ensure your success. To round out your summer internship, we host professional development workshops, social events, cross-functional speaker sessions, and an executive speaker series. In addition to competitive hourly pay and accrued vacation time, you will receive relocation coverage and furnished housing accommodations for the duration of your internship. 

By applying here, you are expressing interest in one of our many 2025 Qualcomm Machine Learning/ AI Engineering internships. It is important to note that this is not a job posting for a specific project.We will review resumes on an ongoing basis, and a recruiter may reach out to you.