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Senior Engineer - Package Health System and Analytics

micron · Fab 10A

New
Senior 🇬🇧 English
Python Statistical modeling AI/ML tools Inline metrology HBM Hybrid bonding 2.5D/3D stacking

Job description

About the role

Micron is hiring a Staff/Senior Engineer for its Package Health System and Analytics team. The engineer contributes to developing and running package health monitoring, simulation and characterization activities, working hands-on in DFT, data analysis and reliability testing to deliver robust packaging solutions.

Key responsibilities

  • Define quantitative package health metrics and develop detection mechanisms and monitoring dashboards for continuous health assessment.
  • Perform electrical and mechanical characterization of packages.
  • Implement real-time defect detection and classification (critical vs. non-critical) and carry out deeper characterization of critical defects, feeding results into predictive models.
  • Run correlation and causation studies between process variables, defect patterns and reliability outcomes.
  • Build and maintain a knowledge base of package health learnings to support NPI handover and future technology development.
  • Work with process and equipment engineers to set up traceability across wafer, assembly and test stages, and build data pipelines linking process parameters, equipment signals and defect signatures.
  • Use AI-assisted tools to improve efficiency, quality and effectiveness, and share AI-enabled improvements with the team.

Required profile

  • Bachelor's or Master's degree in Electrical Engineering, Materials Science or a related field.
  • 3+ years of experience in the semiconductor industry (complex products preferred), preferably in packaging, test or reliability engineering.
  • Strong data analytics and statistical modeling skills.
  • Knowledge of semiconductor packaging processes, material interactions and properties.
  • Ability to work cross-functionally with process, equipment and reliability teams.

Required skills

  • Proficiency in Python/R for data analysis and visualization is a plus.
  • Experience with AI/ML tools or statistical modeling.
  • Defect inspection systems and inline metrology.
  • Familiarity with advanced packaging technologies such as HBM, hybrid bonding and 2.5D/3D stacking.
  • Strong problem-solving and documentation skills.

Questions fréquentes

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Source : ats:workday

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Published 22 hours ago

Expires 1 month from now

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micron

Fab 10A