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Micron is seeking a FE Central Quality Process Engineer to lead quality risk assessments and deploy Quality & Reliability controls across front-end and package processes.
You will partner with DDQA, Fab PI, cPIE, and QA teams to drive end-to-end QRC, inline control points, and root-cause analysis to improve QLR metrics.
As a FE Central Quality Process Engineer in Micron, you will be responsible for supporting Micron quality initiative by leading new product quality risk assessment as well as deploying Quality & Reliability control system. This role will involve closely working with cross-functional team to assess QnR risk in front-end manufacturing process and FE process on package risk impact. You will ensure product quality through comprehensive control points, specification validation, and disposition measures.
Partner with DDQA, Fab PI, cPIE and Fab QE to establish end to end QRC process
Partner with cross-functional teams to identity FE process to package impact and ensure pFMEA in place to govern process change control.
Partner with Fab PIE/RAM/QE and central RAM/PIE to establish inline control point
Tactical support continuous improvement initiatives and problem solving for manufacturing issue.
Support excursion material disposition through fail mode risk assessment
Lead global projects to deploy and improve Quality-related systems and business processes
Partner with quality engineers at other Micron fabs to share best-known-methods and drive cross-fab alignment in QA business processes and methods
Drive validation of Root cause, CA/PA and Manufacturing improvements for Quality events
Collaborate with Test/Product/System/MFG/SMAI to deploy and roll out quality initiatives to improve quality/WLR metrics
Bachelor’s degree in Engineering (e.g., Materials, Chemical, Mechanical, Electrical) or equivalent practical experience.
3+ years of experience in semiconductor manufacturing process, or related technical roles
Knowledge of NAND traveler flow and Fab area process
Strong model-based problem-solving skills combined with data-driven decision-making and effective presentation abilities. Demonstrated expertise in troubleshooting and resolving process issues, as well as identifying root causes.
The advantages of Knowledge of package process, fail modes and process WLR & pWLR
Strong organizational capabilities and the ability to work effectively. Demonstrated flexibility with job responsibilities and initiative in assuming additional tasks
Ability to work independently and collaboratively with cross-functional teams
Well communication, written and presentation skills