AI-Enabled Manufacturing Equipment Tech (12h Shifts)

Micron Technology; Singapore; Sur place; SGD 33 000 - 60 000; Plein temps

Résumé du poste

Micron Technology, Inc. in Singapore is seeking a Manufacturing Analyst to analyze machine utilization, improve output quality, and support safe operations.

You will collaborate with equipment engineers to maintain equipment availability and meet stringent product requirements, while applying AI-enabled tools to boost efficiency and quality. Requirements include a Diploma in Engineering or equivalent, experience in semiconductor manufacturing is advantageous, proficiency with Microsoft Office,

Qualifications

• A relevant Nitec/Higher Nitec/Diploma in Engineering OR equivalent working experience.
• Experience in semiconductor manufacturing is advantageous.
• Self-motivated and results-oriented with a growth mindset.
• Proficient in Microsoft Office and able to handle office tasks.
• Willingness to work a 12-hour shift including night shift.
• Demonstrates baseline digital fluency and AI literacy to use AI-enabled tools responsibly.

Responsabilités

• Analyze machines utilization and improve quality output.
• Maintain overall production efficiencies of assigned workstations.
• Support a safe work environment by following safety procedures and reporting hazards.
• Collaborate with Equipment engineers to maintain equipment availability.
• Integrate AI-assisted tools and insights to boost efficiency, quality, or effectiveness.
• Identify, test, and share AI-enabled enhancements within scope of work.

Connaissances

AI literacy

Digital fluency

Growth mindset

Team player

Formation

Nitec/Higher Nitec/Diploma in Engineering

Outils

Microsoft Office

Description du poste

Micron Technology, Inc. in Singapore is seeking a Manufacturing Analyst to analyze machine utilization, improve output quality, and support safe operations.

You will collaborate with equipment engineers to maintain equipment availability and meet stringent product requirements, while applying AI-enabled tools to boost efficiency and quality. Requirements include a Diploma in Engineering or equivalent, experience in semiconductor manufacturing is advantageous, proficiency with Microsoft Office,