Manufacturing Quality and Reliability Engineer

Job Details:

Job Description: 

Role Summary

The Manufacturing Quality & Reliability Engineer drives product quality, manufacturing readiness, reliability assurance, and continuous improvement across semiconductor manufacturing operations. The role partners with development, engineering, operations, and customers to ensure robust product quality, successful new product introductions (NPI), and data-driven manufacturing excellence.

Key Responsibilities

Quality & Manufacturing Excellence

• Lead manufacturing quality issue containment, investigation, and corrective actions.
• Drive risk assessment, excursion management, and disposition of non-conforming materials.
• Conduct audits and ensure compliance with quality standards and procedures.
• Improve manufacturing quality, yield, reliability, and process capability.

New Product Introduction (NPI)

• Support technology transfer from development to high-volume manufacturing.
• Drive manufacturing readiness reviews and quality gate assessments.
• Establish control plans, quality monitoring systems, and production controls.

Reliability & Data Analytics

• Support reliability qualification and product risk assessments.
• Apply statistical methods, SPC, DOE, and data analytics to identify quality risks and trends.
• Develop dashboards and metrics to support data-driven decision making.

Continuous Improvement

• Lead process improvement and cost reduction initiatives.
• Drive CAPA effectiveness and standardisation of best practices.
• Support operational excellence through quality-focused improvements.

Customer & Cross-Functional Engagement

• Collaborate with engineering, operations, development, and quality teams.
• Lead structured problem-solving activities using 8D and Root Cause Analysis.
• Address customer quality concerns and drive sustainable solutions.

Semiconductor Test Quality (Preferred)

Experience with semiconductor test environments and platforms such as: Advantest V93K/Teradyne Test Systems/HPB-8/AMPS/ Chroma 3200

Qualifications:

• Bachelor’s degree in electrical, Electronics, Mechanical, Chemical, Materials, Microelectronics Engineering, or related discipline.
• Min > 6 years of Experience in Quality Engineering, Reliability Engineering, Manufacturing Engineering, Product or Process Engineering
• Knowledge of quality tools such as FMEA, SPC, Cp/Cpk, Control Plans, CAPA, and Root Cause Analysis.
• Strong analytical, problem-solving, and stakeholder management skills.
• Experience with Excel, PowerPoint, JMP, SQL, or data analytics tools is an advantage.
• Excellent communication and project management capabilities.

Job Type:

Experienced Hire

Shift:

Shift 1 (Malaysia)

Primary Location: 

Malaysia, Kulim

Additional Locations:

Posting Statement:

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust

N/A

Work Model for this Role

This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.

*

ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

Bachelor’s degree in Electrical, Electronics, Mechanical, Chemical, Materials, Microelectronics Engineering, or a related discipline. Minimum 6 years of experience in Quality Engineering, Reliability Engineering, Manufacturing Engineering, Product, or Process Engineering. Knowledge of quality tools like FMEA, SPC, Cp/Cpk, Control Plans, CAPA, and Root Cause Analysis. Strong analytical, problem-solving, and stakeholder management skills. Experience with Excel, PowerPoint, JMP, SQL, or other data analytics tools is an advantage. Excellent communication and project management capabilities.