Machine Learning & Artificial Intelligence Engineering Internship – Summer 2027

Internship Overview

Role Overview

• Help build solutions and tools for next-generation mobile and embedded machine learning platforms.
• Collaborate with researchers, software developers, and internal teams in a multidisciplinary research environment.
• Work with neural network frameworks and ML hardware accelerators for Qualcomm SoC compute platforms.
• Design, develop, and test ML tools and frameworks that make models smaller and more efficient for edge devices.
• Projects may include AI infrastructure, distributed inference, compilers, runtime systems, GPU acceleration, model serving, and performance optimization.

Minimum Qualifications

• Be enrolled in a bachelor's, master's, or Ph.D. program in computer engineering, computer science, electrical engineering, or a related field.
• Be available for 11–14 weeks during Summer 2027 from May through September.
• Have an expected graduation date of November 2027 or later.
• Have one or more years of programming experience with C, C++, Python, or similar languages.

Preferred Qualifications

• Master's or Ph.D. enrollment and graduation between November 2027 and June 2028 are preferred.
• Deep neural network, ML algorithm, CNN, RNN, and LSTM proficiency is preferred.
• Experience with TensorFlow, TFLite, PyTorch, neural-network programming, video or image processing, and application development is preferred.
• Compiler, parallel computing, AI infrastructure, inference, distributed computing, runtime, GPU, CUDA, Kubernetes, MLIR, and optimization experience is preferred.
• ML theory, reinforcement learning, neural architecture search, federated learning, NLP, ML security, generative models, and computer vision experience is preferred.

Pay and Support

• The posted pay range is $17.00 to $98.00 per hour.
• The internship program offers accrued vacation time, relocation coverage, and furnished housing for the internship duration.

Potential Locations

• Opportunities may be available in Austin, Boulder, Boxborough, Bridgewater, Chandler, Irvine, New York City, Louisville, Raleigh, San Diego, Santa Clara, and Seattle, depending on team and project needs.

Application Process

• Applicants express interest in one of several 2027 Qualcomm Machine Learning and AI Engineering internships.
• Advancing candidates may be invited to complete a timed HackerRank technical challenge.