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Micron Fab10 Singapore seeks an Equipment/Production Engineer to plan, schedule, and implement new tool installations and chamber retrofits. You will drive continuous improvement, improve uptime, and ensure QMS alignment across the manufacturing environment.
The role requires a Mechanical/Aeronautical Engineering background with 3+ years in semiconductor and dry etch equipment, and a readiness to work non-standard hours. AI-enabled enhancements and cross-functional collaboration are key elements.
As an Equipment/Production Engineer for Micron Fab10 Singapore, you will be responsible for planning, scheduling, and implementing new tool installations, relocations, chamber retrofits to enhance equipment performance and drive continuous improvement program for your process area.
Oversees the installation, modification, upgrade and maintenance of manufacturing equipment. Maintains current records on equipment manufacturers’ technical notices, upgrades and safety issues. Studies equipment performance and reliability. Establishes programs and solutions for increasing uptime and for equipment problems that affect the manufacturing process. Provides technical support to the manufacturing equipment repair and process engineering organizations. Defines and writes preventative maintenance schedules.
a) ensuring the QMS/business process that is effective and conforms to requirements
b) ensuring that the processes are delivering their intended outputs
reporting on QMS/business process performance and opportunities for improvement to management
c) ensuring the promotion of internal and external customer focus throughout the organization
4) ensuring the maintenance of the integrity of the QMS/ business process when changes are planned and implemented
5) ensuring customer requirements are met
Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements.
Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work.