AI Software Engineer (2027 New College Graduate)

GlobalFoundries • Richardson, CA

1d

About The Position

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

This is part of GlobalFoundries’ new college graduate program, which offers full-time employment paths for recent graduates, accelerated training, cross-functional opportunities, mentorship, networking, leadership opportunities, and potential talent mobility.

Requirements

• 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.
• At least a 3.0 overall GPA and proven good academic standing.
• Experience with at least one major machine learning framework, such as PyTorch or TensorFlow.
• Strong object-oriented programming fundamentals.
• Experience with 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 and verbal.

Nice To Haves

• Prior related internship or co-op experience.
• Demonstrated prior leadership experience in the workplace, school projects, competitions, or similar settings.
• Strong interest in leveraging AI tools and emerging technologies to enhance productivity, streamline workflows, and support effective decision-making.
• Project management skills, including the ability to innovate, execute on meaningful solutions, and navigate ambiguity.
• Strong written and verbal communication skills.
• Strong planning and 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.

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 following team engineering practices.
• Maintain technical documentation for engineering designs, experiment configurations, performance benchmarks, software interfaces, and API architectures, and communicate results and trade-offs to cross-functional teams.
• Perform all activities in a safe and responsible manner and support Environmental, Health, Safety & Security requirements and programs.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level