AI/ML Systems Engineer (2027 New College Graduate)

About the company

GlobalFoundries (GF) is a leading manufacturer of essential semiconductors, enabling AI at scale from the cloud to the physical world. Through deep partnerships with customers, GF delivers differentiated, power-efficient and high-performance solutions for high-growth markets. GF is a trusted and holistic technology partner for customers around the world. GF’s talented, global team remains focused every day on security, longevity, and sustainability.

About the role

GlobalFoundries is seeking an early-career AI/ML Systems Engineer to advance workload characterization and performance modeling across machine learning systems. The engineer will own quantitative analyses that connect workload behavior to hardware and software design decisions while communicating results across architecture, compiler, runtime, and product teams. This position is part of the New College Graduates program, which provides accelerated training in a fast-paced work environment, cross-functional working opportunities, talent mobility, mentorship, networking, and leadership opportunities.

Responsibilities

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

Requirements

• Graduating with a Bachelor’s or Master’s in Electrical Engineering, Computer Engineering, or related field from an accredited degree program.
• Overall GPA of at least 3.0 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.
• English fluency (written and verbal).
• Willingness to travel up to 10%.

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 — ability to innovate and execute solutions that matter; ability to navigate ambiguity.
• Strong written and verbal communication skills.
• Strong planning and 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.

Pay

Expected salary range: $86,000.00 – $148,000.00. The exact salary will be determined based on qualifications, experience, and location.

Schedule

Travel up to 10%.