About the role#
GlobalFoundries is seeking an AI/ML Systems Engineering Intern to analyze machine learning workloads and map their demands to hardware resources. You will work alongside hardware and software engineers to build skills in performance experimentation and analytical modeling. The goal is to help characterize how these workloads interact with architectural decisions.
What you'll do#
- Run and interpret performance experiments for AI/ML workloads, including modern model architectures and inference pipelines.
- Build analytical models to estimate throughput, latency, utilization, and memory bandwidth requirements.
- Identify potential compute or memory bottlenecks.
- Document observations using reproducible analysis methods.
- Collaborate with engineering teams to connect workload behavior with architectural and implementation decisions.
- Present findings through technical reports, visualizations, and discussions.
- Manage a defined workload characterization study independently by the end of the term.
- Follow all safety, health, and security programs.
What you'll need#
- Current enrollment as at least a sophomore pursuing a Bachelor’s or Master’s in Electrical Engineering, Computer Engineering, or a related field.
- A minimum overall 3.0 GPA and good academic standing.
- Coursework or project experience using linear algebra, probability, or numerical analysis.
- Knowledge of computer architecture concepts like cache hierarchies, memory bandwidth, and CPU pipeline fundamentals.
- Experience with Python and data analysis tools including NumPy, pandas, or matplotlib.
- Fluency in written and spoken English.
- Ability to work at least 40 hours per week.
Location & details#
- Location: Richardson, Texas.
- Term: Summer 2027.
- Modality: On-site.
- Employment: Full-time internship.
- Compensation: Paid position.
About GlobalFoundries
GlobalFoundries manufactures semiconductors for various industries including automotive, aerospace, and data centers. The company operates manufacturing facilities across the United States, Europe, and Asia. It was founded in 2009 and currently functions as a public company. The organization employs over 10,000 people.
How to get in at GlobalFoundries
Applying early to GlobalFoundries gives you a distinct advantage because recruiters review applications as they arrive. Intern Insider sends an instant alert the moment a role matching your target is published anywhere, so you apply among the first and get seen before the pile grows. Reaching out to the right person often beats waiting in an automated queue. Intern Insider surfaces the recruiters behind the company roles so you can reach out directly to ask about the role or a referral, which materially improves your response rates.
