Machine Learning/AI Engineering Intern

Job Description

About Qualcomm Technologies, Inc.

Qualcomm Technologies, Inc. is a leading innovator in wireless technology, headquartered in San Diego, California. For over 30 years, Qualcomm has been at the forefront of technological advancements, driving the development of essential technologies that power the world’s connected devices. From smartphones and smart cities to autonomous cars and virtual reality, Qualcomm’s inventions continue to shape the future.

Job Description: Machine Learning/AI Engineering Intern

Qualcomm is seeking talented and motivated interns to join its Machine Learning/AI Engineering team for the Summer 2025 internship program. As an intern, you will be actively involved in building cutting-edge solutions and tools that will enable state-of-the-art technologies for next-generation mobile/embedded machine learning platforms. These platforms will power devices such as smartphones, autonomous vehicles, robotics, and IoT devices.

Responsibilities:

• Work in a dynamic research environment alongside a multi-disciplinary team of researchers and software developers.
• Collaborate with internal teams on various projects.
• Utilize popular neural network frameworks to design, develop, and test software for machine learning tools and frameworks.
• Gain a deep understanding of Qualcomm’s System-on-a-Chip (SoC) compute and ML hardware accelerators.
• Contribute to efforts to optimize machine learning models, making them smaller and more efficient for deployment on edge devices.

Qualifications:

• 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 of experience with programming languages such as C, C++, and 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, and 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).

Internship Program Benefits:

• Work with world-class teams at Qualcomm.
• Receive mentorship and support from experienced professionals.
• Gain access to the entire Qualcomm employee community.
• Participate in professional development workshops, social events, and speaker sessions.
• Competitive hourly pay, accrued vacation time, relocation coverage, and furnished housing accommodations.