Intern - F10 Process and Equipment Engineer

Micron Technology
Singapore
Workplace: OnsiteInternshipFunction: Communications, PR & CommunityEducation: bachelorsSkills: ["Learning mindset","Structured problem-solving","Technical communication","Presentation skills"]

Work on a semiconductor manufacturing internship project focused on wafer defect reduction using Wafer Intelligent Scanner inspection data. You’ll gather and prepare historical wafer, defect, yield, process, and equipment data, then analyze and correlate scanner metrics with yield loss and defect occurrence. Apply statistical methods, machine learning, and AI-enabled workflows to detect abnormal bevel behavior, assess model performance, and deliver dashboards plus a final report with actionable recommendations to reduce yield loss.

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FursaFursa
Micron Technology
Micron Technology
4 days ago

Intern - F10 Process and Equipment Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live
Reposted: similar role first listed 1 week ago

Job Summary

Work on a semiconductor manufacturing internship project focused on wafer defect reduction using Wafer Intelligent Scanner inspection data. You’ll gather and prepare historical wafer, defect, yield, process, and equipment data, then analyze and correlate scanner metrics with yield loss and defect occurrence. Apply statistical methods, machine learning, and AI-enabled workflows to detect abnormal bevel behavior, assess model performance, and deliver dashboards plus a final report with actionable recommendations to reduce yield loss.
Location: Singapore
Workplace: Onsite
Employment Type: Internship
Job Function: Communications, PR & Community
Seniority: Intern level

Key Responsibilities

  • •Transform large volumes of Wafer Intelligent Scanner inspection data into actionable insights for earlier defect detection and yield-loss reduction.
  • •Identify Wafer Intelligent Scanner metrics associated with wafer defects and yield loss.
  • •Develop a data-driven methodology to detect abnormal wafer bevel behavior.
  • •Evaluate statistical, machine learning, and AI techniques for early defect detection and assess model performance (prediction accuracy and sensitivity).
  • •Create visualizations/dashboards and deliver a final report and presentation with recommended actions to reduce yield loss.

Pay and Benefits

Perks:Paid LeaveLearning BudgetWellness StipendEquityHealth Insurance

Key Requirements

  • •Pursuing a degree in Chemical Engineering, Materials Science, Materials Engineering, or a related field.
  • •Ability to perform data analysis using statistical or visualization tools.
  • •Strong structured problem-solving skills and a strong learning mindset.
  • •Clear technical communication and presentation skills.
  • •Familiarity with machine learning, Artificial Intelligence tools, or AI-enabled workflows (advantageous).
Education:Bachelor's in Chemical Engineering, Materials Science, Materials Engineering, or a related field
Skills:Learning mindsetStructured problem-solvingTechnical communicationPresentation skills
Tech Stack:Data analyticsStatistical methodsMachine learningArtificial IntelligenceAI-enabled workflowsData visualizationDashboards

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