AI Software Intern (Summer 2027)

About GlobalFoundries

GlobalFoundries (GF) is a leading manufacturer of essential semiconductors, enabling AI at scale. GF delivers differentiated, power-efficient, and high-performance solutions for high-growth markets.

Internship Program Overview

GF's Interns & Co-ops serve as an entry-level talent pipeline. The program provides meaningful work experience, one-on-one mentorship, growth-prioritized assignments, professional development, and executive networking opportunities.

Summary Of Role

GlobalFoundries is seeking a curious and driven AI Software Intern to bridge machine learning research and software production. The intern will build, optimize, test, and deploy AI models within an AI platform, gaining exposure to the AI inference software lifecycle and AI processor architectures.

Essential Responsibilities

• Assist with integrating, deploying, testing, and scaling machine learning models (including large language, computer vision, and predictive models) within production-oriented AI pipelines.
• Analyze latency, memory usage, and computational footprint; help optimize AI inference workflows for edge devices or cloud infrastructure.
• Utilize modern AI-assisted development tools to accelerate software prototyping, code development, testing, and debugging, adhering to team engineering and review practices.
• Document engineering designs, experiment configurations, performance benchmarks, software interfaces, and API architectures for clarity, reproducibility, and maintainability.

Other Responsibilities

• Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements and programs.

Requirements & Tech Stack

• Familiarity with at least one major machine learning framework, such as PyTorch or TensorFlow.
• Strong understanding of object-oriented programming.
• Proficiency in software version control using GitLab, GitHub, or related tools.
• Ability to navigate ambiguous technical problems, learn new tools quickly, and communicate technical trade-offs effectively.
• English Fluency (Written & Verbal).
• Ability to work at least 40 hours per week during the internship.

Qualifications

• Education: At least a sophomore, actively pursuing a Bachelor’s, Master’s, or PhD in Computer Science, Computer Engineering, Data Science, or a related field through an accredited degree program during the internship.
• Minimum 3.0 GPA and in good academic standing.
• Prior related internship or co-op experience (Preferred).
• Demonstrated prior leadership experience (Preferred).
• Strong interest in leveraging AI tools and emerging technologies (Preferred).
• Project management skills (Preferred).
• Strong written and verbal communication skills (Preferred).
• Strong planning & organizational skills (Preferred).
• Familiarity with low-level, high-performance programming (e.g., kernel optimization, systems programming, hardware accelerators) (Preferred).
• Exposure to cloud systems such as AWS (Preferred).
• Participation in AI/ML hackathons, open-source projects, or university research labs (Preferred).