HBM PROCESS ENGINEER(FY28 NCG)

Micron Technology
Taiwan
Workplace: OnsiteFull timeFunction: Industrial, Process & Manufacturing EngineeringExperience: 2+ yearsEducation: mastersSkills: ["Problem-solving","Process improvement","Cross-functional collaboration","Digital fluency"]

Use AI and advanced analytics to detect process variation, uncover KPIVs, and accelerate root-cause analysis. Develop and deploy AI-assisted monitoring, anomaly detection, and predictive models to improve process stability, yield, and equipment performance. Apply digital solutions and machine learning to optimize manufacturing processes, establish digital twins and predictive maintenance, and partner across Automation, IT, and Data Science to implement AI-enabled process control methods. Lead AI adoption initiatives to improve productivity, quality, cost, and operational efficiency.

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Micron Technology
Micron Technology
6 days ago

HBM PROCESS ENGINEER(FY28 NCG)

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Last checked: 12 hours agoStatus: Live

Job Summary

Use AI and advanced analytics to detect process variation, uncover KPIVs, and accelerate root-cause analysis. Develop and deploy AI-assisted monitoring, anomaly detection, and predictive models to improve process stability, yield, and equipment performance. Apply digital solutions and machine learning to optimize manufacturing processes, establish digital twins and predictive maintenance, and partner across Automation, IT, and Data Science to implement AI-enabled process control methods. Lead AI adoption initiatives to improve productivity, quality, cost, and operational efficiency.
Location: Taiwan
Workplace: Onsite
Employment Type: Full time
Job Function: Industrial, Process & Manufacturing Engineering
Seniority: Mid level

Key Responsibilities

  • •Leverage AI and advanced analytics to identify process variation, uncover hidden KPIVs, and accelerate root cause analysis.
  • •Develop and deploy AI-assisted monitoring, anomaly detection, and predictive models to improve process stability, yield, and equipment performance.
  • •Utilize digital solutions (Copilot, Power BI, AI Agents, dashboards) to automate routine engineering analysis, reporting, and decision-making workflows.
  • •Drive data-driven process optimization using machine learning, pattern recognition, and large-scale manufacturing data analysis.
  • •Establish digital twins and AI-based early warning systems for process and equipment health monitoring, and lead AI adoption initiatives across manufacturing to improve productivity, quality, cost, and operational efficiency.

Pay and Benefits

Perks:Paid LeaveLearning BudgetWellness StipendHealth InsuranceEquity

Key Requirements

  • •Master’s degree or above in Engineering, Science, or a related technical field.
  • •Around 2 years of experience in the semiconductor industry.
  • •Hands-on experience in semiconductor assembly or backend processes is preferred.
  • •Knowledge and practical experience in Lamination, Lapping/Grinding, and Laser Dicing processes.
  • •Strong problem-solving, process improvement, and cross-functional collaboration skills.
Experience:2+ yearsSemiconductor industry
Education:Master's
Skills:Problem-solvingProcess improvementCross-functional collaborationDigital fluency
Tech Stack:AIAdvanced analyticsCopilotPower BIAI AgentsDashboardsMachine learningPredictive modelsDigital twinsPredictive maintenance modelsAnomaly detectionRoot cause analysisData miningKnowledge management platformsLaminationLapping/GrindingLaser Dicing

Company Brief

Micron Technology
Designs and manufactures semiconductor memory and storage solutions, including DRAM, NAND, and NOR flash, for computing, networking, mobile, and automotive markets worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Boise, United States
Founded: 1978
Glassdoor
Glassdoor: 3.7
WebsiteLinkedIn