Yield Engineer: Drive Defect Reduction & Optimization

II-VI Laser Enterprise Philippines, Inc.; Calamba; On-site; PHP 600,000 - 1,000,000; Full time

Job summary

Coherent Philippines Pte Ltd is seeking a Yield Engineer to lead defect reduction and yield-improvement initiatives across assembly and test manufacturing. You will analyze data, perform root-cause analyses, and drive corrective actions with cross-functional teams to improve final yield and reduce scrap.

The role requires 3–5 years in semiconductor or optoelectronics manufacturing, strong statistical and data-analysis skills, and proficiency with Excel, JMP, SQL, Python, and Power BI.

Qualifications

• Bachelor’s degree in Electronics, Electrical, Mechanical, Manufacturing, Materials, Mechatronics Engineering, or related field.
• Typically 3–5 years of experience in semiconductor or optoelectronics with yield improvement and defect reduction projects.

Responsibilities

• Lead yield improvement and defect-reduction initiatives across CoC assembly and test manufacturing processes.
• Analyze production, assembly, test, equipment, and quality data to identify trends and major yield-loss mechanisms.
• Lead root-cause analysis using 8D, DMAIC, fishbone, fault-tree analysis, and DOE with cross-functional teams.
• Ensure yield actions are documented, validated, and sustained with monitoring.
• Establish yield dashboards, Pareto analysis, and related trend charts; develop standards for yield analysis.
• Collaborate with cross-functional teams for new product introduction, transfer, ramp-up, and continuous improvement.

Skills

yield analysis

statistical methods

DOE

MSA/GR&R

data interpretation

ownership & execution

technical communication

presentation & documentation

Excel

JMP

SQL

Python

Power BI

Education

Bachelor’s degree in Electronics/Electrical/Mechanical/Manufacturing/Materials/Mechatronics Engineering

Tools

Excel

JMP

SQL

Python

Power BI

Job description

Coherent Philippines Pte Ltd is seeking a Yield Engineer to lead defect reduction and yield-improvement initiatives across assembly and test manufacturing. You will analyze data, perform root-cause analyses, and drive corrective actions with cross-functional teams to improve final yield and reduce scrap.

The role requires 3–5 years in semiconductor or optoelectronics manufacturing, strong statistical and data-analysis skills, and proficiency with Excel, JMP, SQL, Python, and Power BI.