AI Software Engineer (2027 New College Graduate)

About GlobalFoundries

GlobalFoundries (GF) is a leading manufacturer of essential semiconductors, enabling AI at scale from the cloud to the physical world. GF delivers differentiated, power-efficient, and high-performance solutions for high-growth markets through deep partnerships with customers. GF is a trusted and holistic technology partner for customers worldwide, with a talented, global team focused on security, longevity, and sustainability.

New College Graduates Overview

GF offers full-time employment paths for recent graduates, providing accelerated training, cross-functional working opportunities, and talent mobility in a fast-paced environment. New college graduates receive mentorship, networking, and leadership opportunities.

Summary Of Role

GlobalFoundries is seeking an early-career AI Software Engineer to integrate cutting-edge machine learning capabilities with scalable software production. The engineer will build, optimize, test, and deploy AI models within an AI platform, contributing to the AI inference software lifecycle and collaborating with software, machine learning, and hardware architecture teams.

Key Responsibilities

• Integrate, deploy, test, and scale machine learning models (including large language, computer vision, and predictive models) within production-oriented AI pipelines.
• Profile latency, memory usage, throughput, and computational footprint, and optimize AI inference workflows for edge devices or cloud infrastructure.
• Design and implement maintainable software components and APIs, using modern AI-assisted development tools to accelerate prototyping, testing, debugging, and code review, while adhering to team engineering practices.
• Own technical documentation for engineering designs, experiment configurations, performance benchmarks, software interfaces, and API architectures.
• Communicate results and trade-offs to cross-functional teams.
• Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements and programs.

Requirements & Tech Stack

• Education: Graduating with a Bachelor’s, Master’s, or PhD in Computer Science, Computer Engineering, Data Science, or a related field from an accredited degree program.
• GPA: At least an overall 3.0 GPA and proven good academic standing.
• Machine Learning Frameworks: Experience with at least one major framework, such as PyTorch or TensorFlow.
• Programming: Strong object-oriented programming fundamentals.
• Version Control: Experience with software version control using GitLab, GitHub, or related tools.
• Problem Solving: Demonstrated ability to navigate ambiguous technical problems, learn new tools quickly, and communicate technical trade-offs effectively.
• Language: English (Written & Verbal) fluency.

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: Ability to innovate and execute on solutions, and 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.
• Participation in AI/ML hackathons, open-source projects, or university research labs.