Process Quality Engineer

Plays a key role in driving manufacturing excellence by ensuring high-quality performance, regulatory compliance, and continuous process improvement across factory operations. Partnering closely with production teams and suppliers, this role supports quality investigations, change management, non-conformance resolution, performance monitoring, and CAPA implementation to enhance product quality, strengthen process controls, and support operational success.

• Drive the management of Non-Conformances (NCs), Quality Notifications (QNs), and CAPA activities, analyzing defects, implementing corrective actions, and ensuring effective resolution of quality issues.

• Support risk assessments, PFMEA updates, design changes, manufacturing process development, and design transfer activities to maintain robust process controls and product quality.

• Monitor factory quality performance and compliance, leveraging data analysis, statistical techniques, supplier quality collaboration, and continuous improvement initiatives to optimize operations.

• Coordinate quality engineering and quality assurance activities, maintain manufacturing quality systems, and support successful New Product Introductions (NPI) and product transfer projects.

• Partner with suppliers, R&D, and manufacturing teams to investigate complex quality issues, drive process validation and improvement initiatives, and communicate key quality metrics, trends, and compliance results to stakeholders.

• Bachelor’s degree in Mechanical Engineering, Electronics Engineering, Science, or a related field; vocational education also accepted.

• 2+ years of experience required with a Bachelor’s degree, or a minimum of 4 years of experience in Quality Engineering, Process Engineering, Safety Engineering, or a related field with vocational education.

• Strong understanding of quality engineering principles, including Process Quality Management, Root Cause Analysis (RCA), CAPA methodologies, process monitoring, and regulatory requirements.

• Skilled in data analysis, manufacturing processes, continuous improvement, risk assessment, technical documentation, and Design for Quality (DFQ) to support operational excellence and product quality.