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: ["Communication","Responsibility","Accountability","Mentoring","Professional work ethic"]

Drive advanced data analytics for yield and quality improvements within the HIG HBM Product Engineering Advanced Data Analytics team. Use statistical tools, machine learning, and AI to analyze engineering data, develop algorithms for wafer/die screening and efficiency, and enhance data infrastructure pipelines using cloud technologies. Partner cross-functionally across HBM teams and Fab to deliver solutions that improve KPIs like quality, cost, cycle time, and scale, while mentoring and promoting innovation.

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FursaFursa
Micron Technology
Micron Technology
1 week 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: 11 hours agoStatus: Live

Job Summary

Drive advanced data analytics for yield and quality improvements within the HIG HBM Product Engineering Advanced Data Analytics team. Use statistical tools, machine learning, and AI to analyze engineering data, develop algorithms for wafer/die screening and efficiency, and enhance data infrastructure pipelines using cloud technologies. Partner cross-functionally across HBM teams and Fab to deliver solutions that improve KPIs like quality, cost, cycle time, and scale, while mentoring and promoting innovation.
Location: Singapore
Workplace: Onsite
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence

Key Responsibilities

  • •Lead cross-functional initiatives to improve overall yield and quality, driving measurable organizational benefits.
  • •Perform engineering data analysis using statistical tools, machine learning, and AI and integrate improvements into the Dispo workflow.
  • •Develop machine learning and deep learning algorithms for data mining, pattern recognition, wafer/die level screening, and efficiency enhancement.
  • •Collaborate with IT, Manufacturing, and Operations to develop and enhance data infrastructure pipelines using cloud technologies.
  • •Work with cross-functional teams to support end-to-end development and shipping, advocate for AI/ML models, and maximize KPIs including quality, cost, cycle time, and scale.
Travel: Medium travel

Pay and Benefits

Perks:Paid LeaveLearning BudgetWellness StipendEquityHealth Insurance

Key Requirements

  • •Bachelor's or Master's degree in Engineering, Computer Science, Statistics, Artificial Intelligence, or a related field.
  • •Strong data analytics knowledge and experience with tools such as JMP, Tableau, and Power BI.
  • •Proficiency in Python, R, SQL, and web application languages like JavaScript, HTML, and CSS for data manipulation and analysis.
  • •Knowledge of statistical analysis, predictive modeling, and machine learning techniques, including TensorFlow, Scikit-learn, and PyTorch.
  • •Excellent communication skills to present findings and insights to non-technical stakeholders.
Education:Bachelor's in Engineering, Computer Science, Statistics, Artificial Intelligence (or related fields)
Skills:CommunicationResponsibilityAccountabilityMentoringProfessional work ethic
Tech Stack:JMPTableauPower BIPythonRSQLJavaScriptHTMLCSSTensorFlowScikit-learnPyTorchCloud technologies

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