Shift Semiconductor Process Engineer

Overview

In this role you will provide hands-on, shift-based engineering support to maintain safe, stable and efficient semiconductor production. You will work with cross-functional teams to diagnose process issues, drive yield and productivity improvements, and support NPI and process development. The position focuses on data-driven troubleshooting, containment and recovery actions, and continuous improvement across lithography, etching, deposition and backend wafer processing. This is a hands-on, impact-oriented role in a fast-paced manufacturing environment.

Responsibilities

• Provide technical support to Manufacturing, troubleshoot process, product and equipment issues
• Monitor process performance using SPC, MES and manufacturing data systems, respond to abnormal conditions
• Investigate excursions, identify root causes and implement containment, corrective and recovery actions
• Improve yield, quality, process capability, throughput, cycle time and cost
• Support process development, qualification, optimisation and NPI
• Apply SPC, DOE, Six Sigma, Lean and statistical methods to drive continuous improvement
• Escalate recurring or significant issues to engineering teams and process owners
• Mentor Manufacturing personnel and ensure compliance with process controls, quality standards and HSE requirements

Key requirements

• Degree, postgraduate qualification or equivalent industrial experience in Semiconductor Technology, Materials Science, Physics, Chemistry, Engineering or a related discipline
• Experience in semiconductor, MEMS, silicon photonics or other advanced manufacturing environments
• Practical knowledge of lithography, etching, deposition, metallisation or backend wafer processing
• Backend experience in wafer mounting, thinning, back grinding, CMP, polishing, cleaving or dicing is highly desirable
• Understanding of SPC, DOE, Six Sigma, Lean Manufacturing and root-cause analysis
• Strong analytical, troubleshooting and problem-solving skills with ability to interpret process and equipment data
• Ability to work independently under pressure and collaborate across multidisciplinary teams
• Good written and verbal communication skills, including technical documentation and knowledge sharing

• Strong analytical and problem-solving abilities
• Ability to work under pressure
• Collaborative across multidisciplinary teams
• SPC (Statistical Process Control)
• DOE (Design of Experiments)
• Six Sigma

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