Reliability Lab Process Engineer (GQ Ops Process)

About the role

Micron is hiring an Engineer or Senior Engineer for its GQ Ops Process role in Singapore. The role owns reliability lab processes from qualification through implementation, monitors process performance, leads technicians and drives continuous improvement, working with Operations, Equipment, Quality, Product and other engineering teams.

Key responsibilities

• Own assigned reliability lab processes from qualification to implementation, supporting processes such as Temperature Cycling (TC), HAST/uHAST, THB/THS, HTS, Preconditioning/Reflow, Burn-In/HTOL and CSAM.
• Monitor process performance, identify variation, excursions, bottlenecks and process gaps, and lead root-cause analysis and corrective and preventive actions.
• Lead, guide and develop technicians in daily process execution, troubleshooting and continuous improvement.
• Improve quality, turnaround time, productivity and process capability, and develop error-proofing and process controls.
• Analyze reliability and process data to identify trends and support data-driven decisions, and look for automation, digitalization and AI-enabled improvements.
• Establish and maintain process specifications, SOPs, process parameters, control plans and reaction plans, and ensure compliance with quality, safety, audit and compliance requirements.

Required profile

• Bachelor's or master's degree in mechanical, electrical/electronics, mechatronics, materials, manufacturing, industrial engineering or a related field.
• Understanding of semiconductor backend or reliability lab processes.
• Good communication skills and the ability to translate technical problems into clear actions.

Preferred skills

• Knowledge of semiconductor reliability and qualification processes (TC, HAST/Bake/Soak/Reflow/HTS, Burn-In/HTOL, CSAM).
• Experience leading technicians, coordinating process activities and driving problem resolution.
• RCA, 5M1E, FMEA, DOE and risk assessment; equipment and process qualification/validation.
• AI and programming: working knowledge of AI-assisted tools such as Claude Code, with basic Python and/or SQL.
• Automation and data visualization: Microsoft Power Automate, Tableau or Power BI.