About GlobalFoundries 

GlobalFoundries (GF) is a leading manufacturer of essential semiconductors, enabling AI at scale from the cloud to the physical world. Through deep partnerships with customers, GF delivers differentiated, powerefficient and highperformance solutions for highgrowth markets. GF is a trusted and holistic technology partner for customers around the world. GF’s talented, global team remains focused every day on security, longevity, and sustainability. For more information, visit www.gf.com. 

Internship Program Overview:  

Our Interns & Co-ops are our entry-level talent pipeline for GF across the globe. Our goal is to provide students with a meaningful work experience that will equip them with the skills to embark on a career in the fast-paced and growing semiconductor industry after graduation. As an intern at GF, you’ll experience one-on-one mentorship, work assignments that prioritize your growth and potential, professional development opportunities, and the chance to network with executives. 

Summary of Role: 

GlobalFoundries is seeking a curious and driven AI Software Intern to help bridge cutting-edge machine learning research and scalable software production. Working alongside senior software engineers, the intern will build, optimize, test, and deploy AI models within an AI platform while gaining hands-on exposure to the AI inference software lifecycle and AI processor architectures. 

Essential Responsibilities include: 

• 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, and help optimize AI inference workflows for edge devices or cloud infrastructure. 

• Use modern AI-assisted development tools to accelerate software prototyping, code development, testing, and debugging while following team engineering and review practices. 

• Document engineering designs, experiment configurations, performance benchmarks, software interfaces, and API architectures so work is clear, reproducible, and maintainable. 
  

Other Responsibilities: 

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

Required Qualifications: 

• Education – At least a sophomore at time of application and actively pursuing a Bachelor’s, Master’s, or PhD in Computer Science, Computer Engineering, Data Science or related field through an accredited degree program during the time of internship. 

• Must have at least an overall 3.0 GPA and be in good academic standing. 

• Familiarity with at least one major machine learning framework, such as PyTorch or TensorFlow. 

• Strong understanding of object-oriented programming and 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. 

• Language Fluency - English (Written & Verbal) 

• Ability to work at least 40 hours per week during the internship. 
  

Preferred Qualifications:  

• Prior related internship or co-op experience 

• Demonstrated prior leadership experience in the workplace, school projects, competitions, etc. 

• Strong interest in leveraging AI tools and emerging technologies to enhance productivity, streamline workflows, and support effective decision-making. 

• Project management skills, i.e., the ability to innovate and execute on solutions that matter; the ability to navigate ambiguity. 

• Strong written and verbal communication skills 

• Strong planning & organizational skills 

• Familiarity with low-level, high-performance programming, such as kernel optimization, systems programming, or hardware accelerators. 

• Exposure to cloud systems such as AWS, and participation in AI/ML hackathons, open-source projects, or university research labs. 
  

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Expected Salary Range 

$20.00 - $40.00

Expected Salary Range

The exact Salary will be determined based on qualifications, experience and location.