Associate Engineer, Process Integration and Yield Engineering

About the role

GlobalFoundries is looking for an Associate Engineer, Process Integration and Yield Engineering, based in Woodlands, Singapore. The role supports semiconductor technology development and manufacturing operations through process integration, yield analysis, data mining and problem-solving. It works closely with process module engineers, device engineers, manufacturing, quality and failure analysis teams to identify yield detractors and improve process performance. Candidates without prior work experience are welcome to apply, as comprehensive training and development will be provided.

Key responsibilities

• Analyze yield performance, electrical test data, inline metrology and defect inspection data to identify yield limiters and process issues.
• Perform data mining and statistical analysis to support root-cause investigations and process optimization.
• Assist in executing Design of Experiments (DOE) and evaluate results to support process improvements.
• Monitor process performance indicators and support Statistical Process Control (SPC) implementation.
• Support technology characterization, qualification and release activities.
• Participate in continuous improvement projects to improve yield, quality, cycle time and cost.
• Prepare technical reports, presentations and documentation for engineering reviews and management updates.
• Support excursion investigations and corrective and preventive action implementation.
• Take part in cross-functional problem-solving teams and special engineering projects as assigned.

Required profile

• Diploma in Electrical Engineering, Electronics Engineering, Materials Science, Physics, Chemical Engineering, Semiconductor Technology or another related engineering discipline.
• Preferred: prior related internship or co-op experience.
• Preferred: demonstrated leadership experience in workplace, school projects or competitions.
• Preferred: basic understanding of semiconductor fabrication processes.

Required skills

• Preferred: project management skills, including navigating ambiguity.
• Preferred: strong interest in using AI tools and emerging technologies to improve productivity and decision-making.
• Preferred: basic proficiency with engineering software tools such as Excel, JMP, Spotfire, Python or equivalent analytical tools.

What we offer

• Full-time career opportunities with meaningful learning experiences and cross-functional collaboration.
• Mentorship, networking and leadership opportunities supporting career progression.