Engineer, Process Integration and Yield Engineering

About the role

GlobalFoundries is looking for an Engineer, Process Integration and Yield Engineering in its Woodlands facility. The role develops, sustains and improves semiconductor manufacturing technologies to achieve industry-leading yield, quality, cost and cycle-time performance. It covers process integration, yield enhancement, technology characterization and production problem solving across the wafer fabrication flow, working with process module, device, manufacturing, quality, reliability and failure analysis teams. Candidates without prior work experience are welcome to apply, as comprehensive training and development will be provided.

Key responsibilities

• Own and manage process integration activities for assigned technology platforms, products or process modules, and develop, optimize and sustain integrated process flows.
• Drive technology development and manufacturing readiness from engineering development through high-volume production, and evaluate process interactions across fabrication modules.
• Perform yield analysis using electrical test, inline metrology, defect inspection and reliability data, identify yield detractors and root causes, and run yield improvement roadmaps.
• Apply statistical techniques to monitor and improve process capability and yield.
• Carry out data mining and correlation analysis, lead root-cause investigations of process excursions and yield loss, and use SPC, DOE, regression analysis and statistical methods.
• Build automated dashboards, reports and analytical tools, and collaborate with FA teams and other cross-functional teams on continuous improvement.
• Support customer engagements and technology reviews, and follow safety, environmental, health and security requirements.

Required profile

• Bachelor's degree in Electrical Engineering, Electronics Engineering, Materials Science, Physics, Chemical Engineering, Semiconductor Engineering, Microelectronics or a related discipline.
• Preferred: prior internship or co-op experience, and demonstrated leadership experience.
• Preferred: project management skills, strong interest in AI tools and emerging technologies, and a solid understanding of semiconductor device physics and CMOS manufacturing.

Required skills

• Yield analysis, defectivity analysis and process integration methodologies
• SPC, DOE, regression analysis and statistical methods
• Data mining and correlation analysis