Quality Engineer - Production

About this role

The Production Quality Engineer is responsible for ensuring that products manufactured in production meet defined quality standards, customer requirements, and applicable regulatory expectations. This role works closely with Production, Process Engineering, Supply Chain, and Quality teams to detect, prevent, and resolve quality issues, improve manufacturing processes, and support continuous improvement initiatives.

Key Responsibilities

• Monitor and analyze production quality performance, including defects, scrap, rework, and yield trends.
• Investigate non-conformities, customer complaints, and internal quality issues using structured problem-solving methods.
• Lead root cause analysis and support the implementation of corrective and preventive actions.
• Maintain and update control plans, inspection plans, and quality documentation as required.
• Collaborate with Production and Engineering teams to improve process capability and stability.
• Conduct audits, inspections, and product/process verification activities.
• Ensure compliance with ISO requirements, internal standards, and customer-specific requirements.
• Track quality KPIs and prepare reports for management review.
• Support new product introduction and process validation activities.
• Assist with supplier quality and incoming material quality activities when required.
• Drive continuous improvement initiatives to reduce variation and improve productivity.

Requirements

• Bachelor’s degree in Electronics, Industrial Engineering, or a related discipline.
• 2–5 years of experience in production quality, manufacturing quality, or process quality within a semiconductor or manufacturing environment.
• Good knowledge of quality tools such as: 8D , Fishbone Diagram, 5 Whys , SPC , FMEA ,Control Plan and CAPA.
• Good understanding of manufacturing processes and quality systems.
• Strong analytical and problem-solving skills.
• Ability to work effectively across functions and communicate clearly with different stakeholders.
• Proficiency in MS Office and quality data analysis tools