AI/ML Systems Performance Engineer Intern

Global Foundries

Richardson (TX)

Sur place

USD 28 000 - 55 000

Plein temps

Il y a 12 jours

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Résumé du poste

GlobalFoundries is seeking a curious and motivated AI/ML Systems Engineering Intern to characterize machine learning workloads and map compute and memory demands to hardware resources. You will work with experienced hardware and software engineers to gain hands-on experience in performance experimentation, analytical modeling, and clear technical communication.

As part of the internship, you will build analytical models to estimate throughput, latency, utilization, and memory bandwidth, and you

Qualifications

  • Sophomore status pursuing a Bachelor's/Master's in EE, CE, or related field.
  • GPA 3.0+ and good academic standing.
  • Courses applying linear algebra, probability, or numerical methods.
  • Understanding of cache, memory bandwidth, and CPU pipelines.
  • Experience with Python and data analysis tools (NumPy, pandas, matplotlib).
  • English language proficiency (written and verbal).
  • Willingness to travel up to 10% and work 40 hours/week.

Responsabilités

  • Run performance experiments for AI/ML workloads and document observations.
  • Build models to estimate throughput, latency, and memory usage.
  • Collaborate with hardware/software engineers to connect workload behavior to design.
  • Present findings via reports, visuals, and discussions.

Connaissances

Python
Data analysis
English fluency
Communication skills
Project planning

Formation

Bachelor's or Master's in Electrical Engineering, Computer Engineering, or related field

Outils

NumPy
pandas
matplotlib
PyTorch
TensorFlow
MLIR
IREE
TVM

Description du poste

GlobalFoundries is seeking a curious and motivated AI/ML Systems Engineering Intern to characterize machine learning workloads and map compute and memory demands to hardware resources. You will work with experienced hardware and software engineers to gain hands-on experience in performance experimentation, analytical modeling, and clear technical communication.

As part of the internship, you will build analytical models to estimate throughput, latency, utilization, and memory bandwidth, and you

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