AI/ML Systems Engineering Intern (Summer 2027)

Overview

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, power-efficient and high-performance solutions for high-growth markets. GF is a trusted and holistic technology partner for customers around the world, with a talented global team focused on security, longevity, and sustainability.

Our Interns & Co-ops are our entry-level talent pipeline for GF across the globe. The program provides students with meaningful work experience to equip them with skills for a career in the fast-paced and growing semiconductor industry. Interns experience one-on-one mentorship, growth-oriented work assignments, professional development opportunities, and the chance to network with executives.

GlobalFoundries is seeking a curious and motivated AI/ML Systems Engineering Intern to characterize machine learning workloads and analyze how their compute and memory demands map to hardware resources. Working with experienced hardware and software engineers, the intern will build practical skills in performance experimentation, analytical modeling, and clear technical communication.

Responsibilities

• Run and interpret performance experiments for AI/ML workloads, including classical inference pipelines and modern model architectures, and document observations using reproducible analysis methods.
• Build analytical models to estimate throughput, latency, utilization, operational intensity, and memory bandwidth requirements, and identify likely compute or memory bottlenecks.
• Collaborate with hardware and software engineers to connect workload behavior with architectural and implementation decisions, including cache, memory subsystem, runtime, and compiler considerations.
• Present findings through concise reports, visualizations, and technical discussions, and grow toward independent ownership of a defined workload characterization study during the internship.

Other responsibilities:

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

Requirements

• Education: At least a sophomore at time of application and actively pursuing a Bachelor’s or Master’s in Electrical Engineering, Computer Engineering, 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.
• Coursework or project experience applying linear algebra, probability, numerical analysis, or related mathematical methods to engineering or computing problems.
• Working understanding of computer architecture concepts such as cache hierarchies, memory bandwidth, and CPU pipeline fundamentals.
• Experience using Python and data analysis tools such as NumPy, pandas, matplotlib, or similar.
• Language fluency: English (Written & Verbal).
• Travel: Up to 10%.
• 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: ability to innovate and execute on solutions that matter; ability to navigate ambiguity.
• Strong written and verbal communication skills.
• Strong planning & organizational skills.
• Exposure to PyTorch or TensorFlow and concepts such as FLOP counting, operator-level profiling, or the roofline model.
• Exposure to compilation, intermediate representations, or AI compiler toolchains such as MLIR, IREE, TVM, or similar.

Pay

Expected salary range: $20.00 – $40.00 per hour. The exact salary will be determined based on qualifications, experience, and location.