Machine Learning & Artificial Intelligence Engineering Internship – Summer 2027

Location: San Diego, California, United States of America Department: Interim Engineering Intern - SW

Company:Qualcomm Technologies, Inc.

Job Area:Interns Group, Interns Group > Interim Engineering Intern - SW

General Summary

About Qualcomm

Qualcomm relentlessly innovates transforming businesses, enriching lives and fortifying societies. Our solutions are pivotal in crafting a smarter, interconnected world. Building on our nearly 40-year history of era-defining technology breakthroughs, we deliver leading-edge AI, high performance, lower-power computing, and unrivaled connectivity. We’re proud to be the partner of choice to many of the world’s largest enterprises. Together with our ecosystem partners, we enable next-generation digital transformation. At Qualcomm, we are engineering human progress.

Join Us in Shaping the Future

At Qualcomm, we're committed to engineering human progress by delivering intelligent computing everywhere. We're passionate about harnessing the power of technology to transform industries and improve lives. Our early career programs offer limitless opportunities for growth, mentorship, and meaningful work. By joining our team, you'll be part of a community that's pushing the boundaries of what's possible in AI, computing, and connectivity. With a global footprint spanning over 30 countries, you'll have the chance to collaborate with diverse talent and contribute to projects that are shaping the future of technology.

Our early career programs are designed to attract inventive minds, offering a platform to contribute to our long-term innovation pipeline. You'll be part of a community that values collaboration, creativity, and continuous learning. Our programs provide real-world experience, technical skills, and professional development opportunities, empowering you to make a meaningful impact and achieve your career goals. Join us for our U.S. 2027 summer intern class!

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Role Overview

As a Machine Learning / AI Engineering Intern, you will help build best-in-class solutions and tools that enable state-of-the-art technologies for next-generation mobile and embedded machine learning platforms. These platforms power smartphones, autonomous vehicles, robotics, and IoT devices. You’ll work in a dynamic research environment as part of a multi-disciplinary team of researchers and software developers, collaborating with internal teams, working with popular neural network frameworks, and gaining exposure to Qualcomm’s SOC compute and ML hardware accelerators. Projects may also focus on AI systems infrastructure, distributed inference platforms, compiler technologies, runtime systems, GPU acceleration, model serving, performance optimization, and large-scale deployment of machine learning workloads. You will design, develop, and test software for machine learning tools and frameworks that make models smaller and more efficient for edge devices.

This internship supports the Machine Learning/ AI Engineering track. Based on your resume you will be aligned to projects within this track.

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

Must be available for 11–14 weeks during Summer 2027 (May–September)

Expected graduation date of  November 2027 or later

1+ years of experience with programming languages such as C, C++, Python

Preferred Qualifications

Currently enrolled in a Master’s or PhD degree program in computer engineering, computer science, electrical engineering, or a related field

Candidates actively pursuing a degree with an anticipated graduation between  November 2027 and June 2028

Proficiency in deep neural networks, machine learning algorithms, and architectures (CNNs, RNNs, LSTMs)

Experience with ML 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

Experience with AI infrastructure, inference systems, distributed computing, runtime systems, GPU programming, CUDA, Kubernetes, MLIR, or performance optimization of machine learning workloads.

Understanding of linear algebra operations and fast math libraries

Theoretical knowledge of ML, deep learning, model compression, quantization, and optimization

Experience with reinforcement learning, neural architecture search, kernel optimization, Bayesian optimization

Familiarity with on-device training, transfer learning, personalization, federated learning, NLP, and ML security/privacy

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

Background in ML data pipelines, data management, backend/frontend applications

Research excellence with publications in NeurIPS, CVPR, ICML, ICLR, ICCV

Experience in object-oriented software design (OOSD)

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 enti