Manufacturing Quality Engineer (Electronics & Automotive)

TE Connectivity is a global industrial technology leader creating a safer, sustainable, productive, and connected future. Our broad range of connectivity and sensor solutions enable the distribution of power, signal and data to advance next generation transportation, renewable energy, automated factories, data centers, medical technology and more.

With more than 85,000 employees, including 8,000 engineers, working alongside customers in approximately 140 countries, TE ensures that EVERY CONNECTION COUNTS. Learn more at www.te.com and on LinkedIn, Facebook, WeChat, Instagram and X (formerly Twitter). Our core values are integrity, accountability, inclusion, innovation and teamwork.

Job Overview:

We are seeking an experienced and results-driven Manufacturing Quality Engineer (Quality & Reliability) to join our Quality team. This role is responsible for driving product quality, reliability, and customer satisfaction through quality assurance, customer complaint resolution, advanced problem-solving, and continuous improvement initiatives. You will work closely with customers, suppliers, and cross-functional teams to ensure compliance with quality standards, support new product introductions, optimize manufacturing processes, and enhance overall operational excellence within a fast-paced automotive and electronics manufacturing environment.

Key Responsibilities:

• Lead customer complaint investigations and drive timely resolution through containment, corrective, and preventive actions.
• Perform root cause analysis using structured problem-solving methodologies such as 8D, 5 Why, Ishikawa, FMEA, and Six Sigma tools.
• Prepare and manage customer quality responses, including 8D reports and complaint closure activities.
• Develop and maintain APQP deliverables, including Control Plans, Inspection Plans, PPAP documentation, and quality standards.
• Conduct Process FMEA and support Design FMEA activities to identify and mitigate product and process risks.
• Review non-conforming products and collaborate with cross-functional teams to implement effective corrective actions.
• Conduct QMS Internal Audits and Manufacturing Process Audits to ensure compliance with ISO 9001, IATF 16949, and customer requirements.
• Establish measurement standards, visual inspection methods, and gauge management systems to ensure product quality and reliability.
• Perform capability studies, Measurement System Analysis (MSA), Statistical Process Control (SPC), and Design of Experiments (DOE) to improve process performance.
• Lead tooling, process, material qualification, validation, Safe Launch, and process certification activities for new and transferred products.
• Partner with Operations, Engineering, and Supply Chain teams to drive continuous improvement, operational excellence, and quality performance.
• Champion Six Sigma, Kaizen, and other continuous improvement initiatives while providing quality-related guidance and support across the organization.

What your background should look like:

• Bachelor's degree in Mechanical Engineering, Polymer Engineering, Electrical Engineering, or a related field.
• 5-10 years of Quality Assurance and/or Quality Control experience in the automotive and/or electronics manufacturing industry.
• Strong knowledge of ISO 9001, IATF 16949, ISO 14001, APQP, PPAP, FMEA, MSA, SPC, 8D, 5 Why, Ishikawa Diagram, and DOE.
• Hands-on experience in customer complaint management, root cause analysis, and corrective action implementation.
• Strong analytical, communication, presentation, and stakeholder management skills.
• Experience in connector manufacturing, plastic injection molding, and automated assembly processes is highly preferred.
• Six Sigma certification (Green Belt, Black Belt, Red X, or equivalent) is an advantage.
• Working knowledge of SAP, Minitab, Power BI, and/or Tableau is preferred.
• Good command of English; Mandarin/Chinese language skills are a plus.
• Self-motivated with a strong sense of ownership, accountability, and continuous improvement mindset.