Snr/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","Collaboration","Responsibility","Accountability","Mentorship"]

Join the HIG HBM Product Engineering Advanced Data Analytics team to lead initiatives that improve yield and quality using advanced data analysis, machine learning, and AI. Develop state-of-the-art models and algorithms for wafer/die screening and reliability, build data infrastructure pipelines with cloud technologies, and establish proactive deviation alerts. Collaborate across HBM and cross-functional teams, mentor engineers, and drive KPI-focused outcomes across quality, cost, cycle time, and scale.

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FursaFursa
Micron Technology
Micron Technology
19 hours ago

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

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Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live

Job Summary

Join the HIG HBM Product Engineering Advanced Data Analytics team to lead initiatives that improve yield and quality using advanced data analysis, machine learning, and AI. Develop state-of-the-art models and algorithms for wafer/die screening and reliability, build data infrastructure pipelines with cloud technologies, and establish proactive deviation alerts. Collaborate across HBM and cross-functional teams, mentor engineers, and drive KPI-focused outcomes across quality, cost, cycle time, and scale.
Location: Singapore
Workplace: Onsite
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Lead cross-functional initiatives to improve overall yield and quality for the organization.
  • •Use in-house statistical tools, machine learning, and AI for engineering data analysis and integrate improvements into the Dispo workflow.
  • •Develop machine learning and deep learning algorithms for data mining, pattern recognition, wafer/die screening, and efficiency enhancement.
  • •Collaborate with IT, Manufacturing, and Operations to build and enhance data infrastructure pipelines using cloud technologies.
  • •Mentor team members and partner with cross-functional teams to deploy AI/ML models that improve key KPIs such as quality, cost, cycle time, and scale.

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 related fields.
  • •Proficiency in data analytics, data extraction, and analysis tools such as JMP, Tableau, and Power BI.
  • •Advanced statistical analysis, predictive modeling, and machine learning techniques, including TensorFlow, scikit-learn, and PyTorch.
  • •Programming skills with Python, R, SQL, and web application languages like JavaScript, HTML, and CSS for data manipulation and analysis.
  • •Excellent communication and a proven record collaborating across teams to solve sophisticated business and engineering problems.
Experience:Semiconductor industryMachine learningAI
Education:Bachelor's
Skills:CommunicationCollaborationResponsibilityAccountabilityMentorship
Tech Stack:JMPTableauPower BITensorFlowScikit-learnPyTorchPythonRSQLJavaScriptHTMLCSSCloud

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