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Micron Technology

Makes memory and storage chips for AI and PCs

Engineer / Senior Engineer - Stpg PE IE

Supply Chain ManagementPosted on Nov 11
Full-timeSingaporeNo salary listedIn-person

About the Job

Requirements

  • A PhD, Master's, or Bachelor's degree in Industrial Engineering, Electrical/Electronic Engineering, Computer Engineering, Data Science, Operations Research, Semiconductor Engineering, or a related technical discipline is required.
  • Experience with super intelligence, machine learning, predictive analytics, or agent-based solutions is required.
  • Experience with data analysis, statistical modeling, and scenario planning is required.
  • Proficiency in Python, SQL, Power BI, Tableau, Databricks, Microsoft Fabric, or similar analytics platforms is required.
  • The candidate must be able to work effectively in a highly collaborative, cross-functional environment.
  • Strong communication and stakeholder management skills are required.

Responsibilities

  • Partner with Fab Planning and Sales & Operations Planning organizations to align engineering demand with manufacturing capacity and business priorities.
  • Develop and maintain planning models to support new product introduction execution, engineering qualification activities, and product ramp readiness.
  • Perform scenario analysis to evaluate tradeoffs across engineering wafer demand, qualification schedules, yield assumptions, capacity constraints, and roadmap milestones.
  • Develop and deploy Super Intelligence-enabled planning solutions that improve planning accuracy, automate workflows, and accelerate decision-making.
  • Use predictive analytics, machine learning, data science, and intelligent agents to identify risks, forecast future resource requirements, and optimize new product introduction outcomes.
  • Build data pipelines, dashboards, and decision-support systems that improve visibility into qualification progress, ramp health, and capacity risks.
  • Convert manual planning processes into scalable, automated, and intelligent workflows as part of digital transformation initiatives.
  • Collaborate with Technology Development teams to understand technology roadmap transitions, process maturity, and yield-learning trends that may affect new product introduction planning assumptions.
  • Present data-driven recommendations and strategic insights to engineering, planning, and operations leadership.
  • Integrate 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.
  • Identify, test, and share AI-enabled enhancements within the scope of work to contribute to continuous improvement.

About the Company

Micron Technology

Makes memory and storage chips for AI and PCs

Micron Technology designs and manufactures memory and storage chips, mainly DRAM and NAND flash, used in data centers, PCs, phones, cars and industrial equipment. It is one of only three companies that make HBM, the stacked high-bandwidth memory placed beside processors in AI servers, and it is the largest memory chipmaker based in the United States. Unlike chip designers that outsource production, Micron runs its own fabs and assembly sites in the United States and across Asia. It earns money by selling chips, memory modules and solid-state drives to cloud providers, device makers and distributors. Micron was founded in 1978 and is headquartered in Boise, Idaho.

Company size
10,001+
Company stage
IPO
Headquarters
Boise, ID
Founded
1978

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