AI/ML Systems Engineering Intern (Summer 2027)

Job Title

AI/ML Systems Engineering Intern (Summer 2027)

Role Summary

Work with hardware and software engineers to characterize AI/ML workloads and map their compute and memory demands to hardware resources. The role emphasizes performance experiments, analytical modeling, and clear technical reporting.

Experience Level

Entry-level internship for students (sophomore or above). Intended for individuals building foundational skills in workload characterization and systems performance.

Responsibilities

Primary responsibilities during the internship:

• Run and analyze performance experiments on AI/ML workloads and document results with reproducible methods.
• Build analytical models to estimate throughput, latency, utilization, operational intensity, and memory bandwidth requirements.
• Identify compute or memory bottlenecks and relate workload behavior to architectural and implementation choices (cache, memory subsystem, runtime, compiler).
• Produce concise reports, visualizations, and presentations; aim for ownership of a defined workload characterization study.
• Follow Environmental, Health, Safety & Security requirements.

Requirements

Must-have technical skills and commitments for successful candidates.

• Working understanding of computer architecture concepts such as cache hierarchies, memory bandwidth, and CPU pipeline fundamentals.
• Experience using Python and data analysis tools (NumPy, pandas, matplotlib, or similar).
• Coursework or project experience applying linear algebra, probability, numerical analysis, or related mathematical methods to computing or engineering problems.
• English proficiency (written and verbal).
• Ability to work at least 40 hours per week during the internship and travel up to 10%.

Nice-to-have:

• Prior internship or co-op experience in a related area.
• 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 (MLIR, IREE, TVM, etc.).
• Project management, leadership, and strong written/verbal communication skills.

Education Requirements

At least a sophomore enrolled in an accredited Bachelor's or Master's program in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field during the internship period. Minimum overall GPA: 3.0. (Degree and program enrollment are required; no alternative application-by-experience language provided.)

About the Company

Company: GlobalFoundries

Headquarters: Saratoga Springs, New York, USA

GlobalFoundries is a leading contract manufacturer for the global semiconductor industry, with facilities in multiple countries, including the USA. The company develops a broad portfolio of semiconductor technologies and employs around 13,000 people worldwide. GlobalFoundries focuses on enhancing competitiveness in specialized application solutions and fostering innovation in mobile communications, consumer electronics, and automotive applications.