Machine Learning & Artificial Intelligence Engineering Internship – Summer 2027

Role Overview

Core Work

• Build machine learning solutions and tools for mobile and embedded platforms.
• Collaborate with researchers, software developers, and internal teams.
• Design, develop, and test software for ML tools and frameworks that improve model efficiency on edge devices.
• Projects may involve AI infrastructure, distributed inference, compiler technologies, runtime systems, GPU acceleration, model serving, and performance optimization.

Minimum Qualifications

• Current enrollment in a bachelor's, master's, or Ph.D. program in computer engineering, computer science, electrical engineering, or a related field.
• Availability for 11 to 14 weeks during Summer 2027, from May through September.
• Expected graduation date of November 2027 or later.
• At least 1 year of programming experience with C, C++, Python, or similar languages.

Preferred Qualifications

• Master's or Ph.D. enrollment in a relevant technical field is preferred.
• Preferred experience includes deep neural networks, ML algorithms, TensorFlow, TensorFlow Lite, PyTorch, neural network programming, and image or video processing.
• Preferred exposure includes compiler frameworks, parallel computing, AI infrastructure, inference systems, distributed computing, CUDA, Kubernetes, MLIR, and ML performance optimization.
• Preferred knowledge includes model compression, quantization, reinforcement learning, NLP, computer vision, generative models, ML security, and privacy.

Internship Program

• Interns receive mentorship, manager support, professional development workshops, social events, and speaker sessions.
• The program offers competitive hourly pay, accrued vacation time, relocation coverage, and furnished housing for the internship duration.

Potential Locations

• Internship 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

• This application expresses interest in one of many 2027 Qualcomm Machine Learning and AI Engineering internships rather than a specific project.
• Candidates may be invited to complete a timed HackerRank challenge.