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# AI/ML Systems Engineer (2027 New College Graduate)

- **Company:** GF U.S. Inc.
- **Location:** Richardson, TX, United States
- **Experience:** Starter
- **Salary:** $86,000.0 - $148,000.0
- **Contract:** Internship / Graduate position
- **Skills:** Artificial Intelligence, Data Analysis, Profiling, Computer Engineering, Python (Programming Language), NumPy, Tensorflow, Pytorch, Discretization, Pandas, Matplotlib, Machine Learning Operations, MLIR (Multi-Level Intermediate Representation)
- **Published:** October 20, 2026
- **Apply:** https://globalfoundries.wd1.myworkdayjobs.com/External/job/USA---Texas---Richardson/AI-ML-Systems-Engineer--2027-New-College-Graduate-_JR-2604163

## About the Role

* Education - Graduating with Bachelor's or Master's in Electrical Engineering, Computer Engineering, or related field from an accredited degree program.

 * Must have at least an overall 3.0 GPA and proven good academic standing.

 * Strong mathematical reasoning, including the ability to apply linear algebra, probability, and numerical analysis to performance estimation and numerical precision questions.

 * Working understanding of computer architecture concepts, including cache hierarchies, memory bandwidth, and CPU pipeline fundamentals.

 * Experience with Python and data analysis tooling such as NumPy, pandas, matplotlib, or similar.

 * Exposure to machine learning frameworks such as PyTorch or TensorFlow.

 * Language Fluency - English (Written & Verbal)

 * Travel - Up to 10%

Preferred Qualifications:

 * Prior related internship or co-op experience.

 * Demonstrated prior leadership experience in the workplace, school projects, competitions, etc.

 * Strong interest in leveraging AI tools and emerging technologies to enhance productivity, streamline workflows, and support effective decision-making.

 * Project management skills, i.e. the ability to innovate and execute solutions that matter; the ability to navigate ambiguity.

 * Strong written and verbal communication skills

 * Strong planning & organizational skills

 * Familiarity with the roofline model, FLOP counting, operator-level profiling, quantization analysis, or performance KPI frameworks.

 * Exposure to compilation or intermediate representation concepts, including MLIR, IREE, TVM, or similar AI compiler infrastructure.

#NCGProgramUS

## Description

* Characterize AI/ML workloads across inference and training, quantify compute and memory behavior, and identify bottlenecks using methods such as roofline analysis, operational intensity profiling, and bottleneck decomposition.

 * Build and validate analytical or code-based models that estimate achievable throughput, latency, utilization, bandwidth consumption, and efficiency for real or projected hardware.

 * Partner with hardware, compiler, and runtime engineers to translate workload findings into architectural and software optimization discussions, including memory subsystem sizing, scheduling, kernel optimization, and data layout tradeoffs.

 * Own benchmarking or modeling efforts end to end, maintain clear and reproducible analysis artifacts, and communicate conclusions through written reports, presentations, and design reviews.

Other Responsibilities:

 * Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements and programs.