AI/ML Systems Engineer - New Grad Program

GlobalFoundries

Richardson (TX)

On-site

USD 86,000 - 148,000

Full time

14 days+

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Job summary

GlobalFoundries is seeking an early-career AI/ML Systems Engineer to advance workload characterization and performance modeling across machine learning systems. You will own quantitative analyses that connect workload behavior to hardware and software design decisions while communicating results across architecture, compiler, runtime, and product teams.

Join a fast-paced environment for new graduates, with mentorship and cross-functional collaboration, including benchmarking, modeling, and

Qualifications

Bachelor's or Master's in Electrical Engineering or Computer Engineering.
Minimum GPA 3.0 and good academic standing.
Strong mathematical reasoning for performance estimation.
Understanding of computer architecture including caches and memory bandwidth.
Experience with Python and data analysis tools (NumPy, pandas, matplotlib).
Exposure to ML frameworks such as PyTorch or TensorFlow.

Responsibilities

Characterize AI/ML workloads across inference and training and identify bottlenecks.
Build and validate models estimating throughput, latency, and bandwidth.
Collaborate with hardware, compiler, and runtime teams to discuss optimizations.
Own benchmarking and communicate conclusions via reports and reviews.