Engineer Integration & Yield

About the role

GlobalFoundries is a full-service semiconductor foundry with a global manufacturing footprint. This Engineer Integration & Yield position sits within the Process Integration (PI) department, which bridges device design, unit-process engineering, yield and manufacturing so that process steps across modules produce functional, high-yielding devices. The work directly supports expanding Fab Operations and platforms for smart mobile devices, personal computing, IoT, automotive and more.

Key responsibilities

• Identify, resolve and improve process integration and yield issues, including low-yield problems and defect sources.
• Own process integration for assigned modules and define and optimize process flows for electrical performance, yield targets and manufacturability.
• Drive cross-functional problem solving with equipment, device, yield and process engineering teams.
• Lead defect and yield troubleshooting using inline data, electrical test results and physical failure analysis to find root causes.
• Support customer and product requests, including device performance evaluations and issue resolution.
• Develop custom or derivative processes to meet customer needs and build a defect source library with defect source fingerprinting.
• Perform project management and data analysis, including product/process partitioning studies for yield and defect characterization.
• Drive continuous improvement plans and ensure processes are well documented, with failure modes assessed and mitigations and detection measures in place.
• Work safely and responsibly, supporting environmental, health, safety and security requirements.

Required profile

• Bachelor's degree in Electronic & Electrical Engineering, Material Science, Microelectronics or Physics.
• Specialized knowledge of semiconductor physics and device fundamentals preferred.
• Strong analytical skills and ability to work independently.
• Good communication skills and effective cross-module teamwork.
• Prior internship or project experience in the field is an advantage.

Required skills

• Statistical knowledge (SPC/JMP)
• Python programming
• SQL data query