Product Engineer (Advance Data Analytics), Heterogeneous Integration Group (HIG), High Bandwidth Memory (HBM) Product Engineering

Micron Technology
Singapore
Workplace: OnsiteFull timeFunction: Data Analytics & Business IntelligenceEducation: bachelorsSkills: ["Leadership","Communication","Collaboration","Mentoring","Adaptability"]

Develop and deploy product-disposition (wormhole) solutions to improve quality and reduce DPM through data-driven workflows. Use statistical tools, machine learning, and AI to analyze engineering data, enhance yield and reliability, and build deviation alert systems. Create ML/DL models for quality enhancement and wafer/die/cube screening, collaborate with cross-functional teams to ship end products, and mentor team members.

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FursaFursa
Micron Technology
Micron Technology
1 month ago

Product Engineer (Advance Data Analytics), Heterogeneous Integration Group (HIG), High Bandwidth Memory (HBM) Product Engineering

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 20 hours agoStatus: Live

Job Summary

Develop and deploy product-disposition (wormhole) solutions to improve quality and reduce DPM through data-driven workflows. Use statistical tools, machine learning, and AI to analyze engineering data, enhance yield and reliability, and build deviation alert systems. Create ML/DL models for quality enhancement and wafer/die/cube screening, collaborate with cross-functional teams to ship end products, and mentor team members.
Location: Singapore
Workplace: Onsite
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Develop, validate, and deploy product-disposition solutions (wormhole) to improve quality and reduce defects via a disposition workflow.
  • •Use statistical tools, machine learning, and AI to analyze engineering data and integrate yield/reliability improvements into the disposition workflow.
  • •Create deviation alert systems to monitor yield loss, characteristic/parameter trends, and wafer/die/cube shading.
  • •Develop state-of-the-art ML/DL algorithms for data mining and pattern recognition to improve quality, yield, screening, and efficiency.
  • •Collaborate with cross-functional teams (Fab, HBM Technology Development, HBM Design, System Development, Quality/Reliability) and mentor team members.
Travel: Medium travel

Key Requirements

  • •Bachelor's or Master's degree in Electrical and Electronics Engineering, Statistics, or a related engineering field.
  • •At least 3 years of experience in data analytics or data science is preferred (outstanding fresh graduates may apply).
  • •Strong leadership and technical skills with deep understanding of data analytics and data extraction/analysis tools such as JMP, Tableau, and Power BI.
  • •Excellent communication skills to present findings and insights to non-technical stakeholders.
  • •Experience collaborating across teams and mentoring/coaching others to solve sophisticated engineering and business problems.
Experience:Semiconductor industry
Education:Bachelor's in Electrical and Electronics Engineering, Statistics, or related engineering fields
Skills:LeadershipCommunicationCollaborationMentoringAdaptability
Tech Stack:Machine LearningDeep LearningAIJMPTableauPower BI

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
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Glassdoor: 3.7
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