About the role#
GlobalFoundries is seeking an AI/ML Systems Engineering Intern to characterize machine learning workloads and analyze how their compute and memory demands map to hardware resources. You will work alongside hardware and software engineers to build practical skills in performance experimentation, analytical modeling, and technical communication.
What you'll do#
- Run and interpret performance experiments for AI/ML workloads and document your observations using reproducible analysis methods.
- Build analytical models to estimate throughput, latency, utilization, operational intensity, and memory bandwidth requirements.
- Identify potential compute or memory bottlenecks.
- Collaborate with hardware and software engineers to connect workload behavior with architectural and implementation decisions.
- Present your findings through concise reports, visualizations, and technical discussions.
- Perform all activities in a safe and responsible manner while supporting Environmental, Health, Safety, and Security requirements.
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.
- An overall GPA of 3.0 or higher.
- Coursework or project experience with linear algebra, probability, numerical analysis, or related mathematical methods.
- A working understanding of computer architecture concepts like cache hierarchies, memory bandwidth, and CPU pipeline fundamentals.
- Experience using Python and data analysis tools such as NumPy, pandas, and matplotlib.
- Fluency in English and the ability to work at least 40 hours per week.
- Preferred: Prior internship or co-op experience, leadership experience, and project management skills.
- Preferred: Exposure to PyTorch, TensorFlow, FLOP counting, operator-level profiling, or the roofline model.
- Preferred: Exposure to compilation, intermediate representations, or AI compiler toolchains such as MLIR, IREE, or TVM.
Location & details#
- Location: Richardson, Texas.
- Term: Summer 2027.
- Modality: On-site.
- Employment: Full-time internship.
- Compensation: Paid internship.
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.
