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MTB Assembly Equipment Engineer

Full-time On-site work

Publication date: 05/11/2026

Micron Technology is an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all. Micron delivers a portfolio of high-performance DRAM, NAND, and NOR memory and storage products through its Micron and Crucial brands.

Responsibilities

Leverage AI-enabled and AI-assisted work methods to improve equipment utilization, yield performance, alarm code analysis, parts lifetime prediction, and manufacturing efficiency; Utilize AI-powered data analysis to identify equipment performance gaps, predict equipment failures, optimize preventive maintenance, and reduce unplanned downtime; Apply AI-assisted troubleshooting to accelerate root cause analysis of equipment alarms, process excursions, and yield loss mechanisms; Identify, diagnose, and resolve assembly equipment related issues using data-driven and AI-supported methodologies; Coordinate and execute process, equipment, and material evaluations to optimize manufacturing performance and quality; Lead and participate in utilization improvement, yield enhancement, cost reduction, and smart manufacturing initiatives; Validate and qualify new processes, equipment, materials, and manufacturing technologies for NPI deployment; Support FDC/RMS/APC/SPC systems and use AI-driven analytics to identify trends, abnormalities, and improvement opportunities; Drive site-to-site best practice transfer and digital transformation initiatives; Manage supplier quality and risk mitigation through data analytics and predictive monitoring; Support internal and external audits while maintaining compliance with engineering and quality standards; Demonstrate effective adoption of Microsoft Copilot and other AI technologies to enhance engineering productivity, knowledge management, documentation, decision making, and operational excellence

Requirements

Familiar with TCB/DB process; Minimum of 5 years of semiconductor equipment engineering experience; Adoption of Microsoft Copilot and other AI technologies
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