APTM Yield Analysis Senior Engineer / Team Leader

Key Responsibilities

• Extract insights from structured and unstructured datasets using statistical analysis, machine learning techniques, and data mining methodologies.
• Analyze large volumes of manufacturing, test, and defect data to identify yield-impacting trends and opportunities for improvement.
• Develop and implement solutions using manufacturing process knowledge, statistical methods, and structured problem-solving techniques.
• Drive recommendations and influence yield improvement roadmaps across technology development and manufacturing organizations.
• Analyze the relationship between electrical failures and physical defects through the application of: Failure Isolation and Failure Analysis (FIFA), Design for Test (DFT), Sort and Test methodologies, Process Integration, and Manufacturing process flows.
• Data mining and database analysis, Data visualization techniques.
• Evaluate inline defect metrology performance, detection capabilities, and defect monitoring systems used in manufacturing.
• Partner with Process Engineering, Integration, Quality and Reliability (Q&R), Product Engineering, and Test Development Engineering teams to resolve yield and defect challenges.
• Prepare and present detailed technical reports on yield performance, defect trends, and device health metrics.
• Define and drive corrective actions necessary to achieve world-class yield performance.
• Collaborate with upstream, downstream, and cross-functional stakeholders to support technology development, technology transfer, and successful ramp to high-volume manufacturing.
• Lead and mentor small teams of engineers in direct or indirect leadership capacities.
• Travel domestically and internationally as required.

Qualifications

• Bachelor's degree with 9+ years of experience, OR Master's degree with 6+ years of experience, OR PhD with 4+ years of experience in Materials Science and Engineering, Mechanical Engineering, Chemical Engineering, Electrical Engineering, Computer Science, Information Systems, Physics, Chemistry, or a related technical discipline.
• 5+ years of experience performing data analysis using tools like JMP, Python, or similar statistical and data analysis tools.