AI/ML Systems Performance Intern

MIPS Holding Inc; Richardson (TX); On-site; USD 28,000 - 55,000; Full time

Benefits offered by this job

Mentorship

Professional development opportunities

Job summary

GlobalFoundries is seeking a curious and motivated AI/ML Systems Engineering Intern to characterize machine learning workloads and map compute/memory demands to hardware resources. You’ll work with hardware and software engineers on performance experiments, modeling, and clear technical communication.

The role emphasizes mentorship, professional development, and the chance to own a workload characterization study during the internship. Strong math, CS concepts, and Python skills are valued.

Qualifications

• Education – At least a sophomore and pursuing a Bachelor’s or Master’s in Electrical Engineering, Computer Engineering, or related field.
• Overall GPA of 3.0 or higher and in good academic standing.
• Courses or projects applying linear algebra, probability, numerical analysis to engineering problems.
• Understanding of cache hierarchies, memory bandwidth, CPU pipelines.
• Experience using Python and data analysis tools such as NumPy, pandas, matplotlib.
• English language fluency (written & verbal).
• Travel up to 10%.
• Ability to work at least 40 hours per week.

Responsibilities

• Run and interpret performance experiments for AI/ML workloads and document observations.
• Build analytical models to estimate throughput, latency, memory bandwidth, and bottlenecks.
• Collaborate with hardware and software engineers to connect workload behavior with architecture decisions.
• Present findings through reports, visualizations, and discussions; grow toward independent workload characterization.

Skills

Python

NumPy

pandas

matplotlib

Education

Electrical Engineering

Computer Engineering

Tools

NumPy

pandas

matplotlib

Job description

GlobalFoundries is seeking a curious and motivated AI/ML Systems Engineering Intern to characterize machine learning workloads and map compute/memory demands to hardware resources. You’ll work with hardware and software engineers on performance experiments, modeling, and clear technical communication.

The role emphasizes mentorship, professional development, and the chance to own a workload characterization study during the internship. Strong math, CS concepts, and Python skills are valued.