Manufacturing Production Control Technician

MICRON SEMICONDUCTOR ASIA OPERATIONS PTE LTD; Singapore; On-site; SGD 40,000 - 66,000; Full time

Job summary

Micron Semiconductor Asia Operations Pte Ltd is seeking a Production Control professional to manage daily operations, monitor wafer lot starts, and optimize WIP in line withFab priorities. You will use data analytics and AI-enabled tools to drive timely decisions, support material movement, and ensure documentation accuracy.

The role involves cross‑functional collaboration, non‑standard hours including 12‑hour night shifts, and working in a cleanroom environment to maintain safety and process

Qualifications

• Nitec / Higher Nitec / Diploma in Engineering or Science is required, or relevant hands‑on experience in semiconductor manufacturing and fab operations.
• Experience working in a semiconductor fab environment (Manufacturing, Operations, Warehouse, or related functions) is preferred.
• Willing and equipped to work non‑standard working hours, including compressed schedules and 12‑hour night shifts, as required by manufacturing operations.
• Willing and capable of working in a cleanroom for most of the working time, including working fully smocked in accordance with cleanroom and safety requirements.
• Ability to apply baseline digital fluency and role‑appropriate AI literacy to use AI‑enabled tools responsibly and effectively for research, analysis, content creation, problem‑solving, operational tasks, and achieving business outcomes.

Responsibilities

• Carry out daily production control activities including wafer lot starts, lot monitoring, FOUP management, offload operations, and WIP management in alignment with Fab priorities and output commitments.
• Use data analytics and AI-enabled tools to monitor production flow, identify bottlenecks, prioritize actions, and support timely decision making on material movement
• Support offload send/receive operations, ensuring accurate documentation, system transactions, and compliance with established manufacturing procedures.
• Monitor production performance indicators including WIP levels, aging risks, cycle time impacts, carrier utilization, and capacity constraints; proactively identify abnormalities and bring up potential risks to Production Control Engineers and Manufacturing teams.
• Leverage AI-assisted insights and digital dashboards to analyze production trends, detect operational exceptions, and recommend actions to improve workflow efficiency and manufacturing performance.
• Coordinate with Manufacturing, Warehouse, Equipment Engineering, Automation, and other cross-functional teams to resolve material flow issues including carrier shortages, routing discrepancies, system mismatches, and production disruptions.
• Perform accurate transaction processing within MES, SAP, and other manufacturing systems to maintain inventory accuracy, recipe compliance, and data integrity.
• Support first-level troubleshooting of dispatch, logistics, automation, or system-related issues by using available diagnostic tools, AI-assisted knowledge resources, and standard troubleshooting methodologies.
• Use AI-enabled tools to generate shift summaries, handover reports, operational updates, and issue documentation to improve communication quality and reduce manual administrative effort.
• Discover opportunities to improve operational efficiency through process standardization, workflow automation, and effective adoption of AI and digital manufacturing solutions.
• Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work.

Skills

Data analytics

AI literacy

Problem solving

Digital fluency

Communication

Education

Engineering or Science diploma

Tools

MES

SAP

Job description

Key Responsibilities

• Carry out daily production control activities including wafer lot starts, lot monitoring, FOUP management, offload operations, and WIP management in alignment with Fab priorities and output commitments.

• Use data analytics and AI-enabled tools to monitor production flow, identify bottlenecks, prioritize actions, and support timely decision making on material movement

• Support offload send/receive operations, ensuring accurate documentation, system transactions, and compliance with established manufacturing procedures.

• Monitor production performance indicators including WIP levels, aging risks, cycle time impacts, carrier utilization, and capacity constraints; proactively identify abnormalities and bring up potential risks to Production Control Engineers and Manufacturing teams.

• Leverage AI-assisted insights and digital dashboards to analyze production trends, detect operational exceptions, and recommend actions to improve workflow efficiency and manufacturing performance.

• Coordinate with Manufacturing, Warehouse, Equipment Engineering, Automation, and other cross-functional teams to resolve material flow issues including carrier shortages, routing discrepancies, system mismatches, and production disruptions.

• Perform accurate transaction processing within MES, SAP, and other manufacturing systems to maintain inventory accuracy, recipe compliance, and data integrity.

• Support first-level troubleshooting of dispatch, logistics, automation, or system-related issues by using available diagnostic tools, AI-assisted knowledge resources, and standard troubleshooting methodologies.

• Use AI-enabled tools to generate shift summaries, handover reports, operational updates, and issue documentation to improve communication quality and reduce manual administrative effort.

• Discover opportunities to improve operational efficiency through process standardization, workflow automation, and effective adoption of AI and digital manufacturing solutions.

• Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work.

Job Requirements

• Nitec / Higher Nitec / Diploma in Engineering or Science is required, or relevant hands‑on experience in semiconductor manufacturing and fab operations.

• Experience working in a semiconductor fab environment (Manufacturing, Operations, Warehouse, or related functions) is preferred.

• Willing and equipped to work non‑standard working hours, including compressed schedules and 12‑hour night shifts, as required by manufacturing operations.

• Willing and capable of working in a cleanroom for most of the working time, including working fully smocked in accordance with cleanroom and safety requirements.

• Ability to apply baseline digital fluency and role‑appropriate AI literacy to use AI‑enabled tools responsibly and effectively for research, analysis, content creation, problem‑solving, operational tasks, and achieving business outcomes.