PCS Engineer

Micron Technology, Inc.; Manassas (VA); On-site; USD 111,000 - 131,000; Full time

Job summary

Micron Technology, Inc. seeks a FAB Engineer 2 to sustain and improve fault-detection and classification strategies across semiconductor manufacturing lines in Manassas, VA. You will analyze data, diagnose anomalies, and support engineering decisions to minimize excursions and scrap.

You will work with MES and process control platforms, develop dashboards, and implement controlled modifications using Change Management practices, advancing safety and efficiency site-wide.

Qualifications

• Bachelor's degree in Electrical Engineering, Chemical Engineering, Computer Engineering, Information Systems or related field.
• Experience with SPC, fault detection, and data-driven monitoring for manufacturing equipment and processes.
• Structured manufacturing data using SQL, Python, or similar tools.

Responsibilities

• Analyze manufacturing data and system outputs to diagnose abnormal equipment or process behavior and support corrective actions.
• Maintain and improve Fault Detection and Classification strategies and data collection methods.
• Collaborate with cross-functional teams to implement dashboards and automated reporting for process monitoring.
• Coordinate with MES and process control platforms to ensure consistency and data integrity.
• Participate in daily tactical meetings and support site-wide continuous improvement initiatives.

Skills

SPC

Fault Detection

Data Monitoring

Root Cause Analysis

Automation Reporting

Education

Bachelor's degree in Electrical Engineering, Chemical Engineering, Computer Engineering, Information Systems

Tools

SQL

Python

Visualization Tools

Job description

Our vision is to transform how the world uses information to enrich life for all.

Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.

Maintain Fault Detection and Classification for semiconductor manufacturing facilities. Identify Fault Detection and Classification Dependencies. Fault Detection and Classification for specific manufacturing area. Implement, comply, maintain and improve established standards. Test and implement system changes and improvements. Manage the implementation of controlled modifications using Change Management methodologies. Deployment and on-going maintenance of FDC strategies (data collection, summarized indicators, limits, OCAPS, etc.) using AMAT E3 in an effort to minimize risks of excursion and scrap. Troubleshoot strategy/tool/system related issues, including proper documentation, escalation, and follow-up to completion. Monitor strategy performance and effectiveness and identify opportunities for improvement. Understand and follow worldwide FDC best known methods (BKM), business rules and standards, and change management procedures. Align, share, and review FDC strategy best practices and excursion/scrap prevention with world-wide counterparts. Participate/present in daily tactical meetings (DAM), frequent interaction with customers, and general support to explore and analyze and promote the use of FDC data. Evaluate and monitor user lists for program access in compliance with established product integrity, security, and intellectual property rights’ protection standards. Coordinate Fault Detection and Classification tasks utilizing various programs, including 300mm Semiconductor Manufacturing Execution Systems, Process Control Systems, Statistical Process Control, Advanced Process Control, Fault Detection and Classification, GEM/SECS, Engineering Change Notice, and Global Conversion Process. Act as a liaison between information systems, production area management, and engineering management in matters concerning. Anticipate or diagnose automation issues across multiple equipment types within a given manufacturing area. Participated in projects that have impact on a site-wide and/or global scale. Responsible for reducing costs associated with your area including owning and completing cost reduction projects, identifying cost effective sustaining/manufacturing improvements, minimizing regular expenditures, and helping to promote a cost conscious culture. Follow all safety and environmental procedures to ensure compliance with applicable regulations. Participant in the EHSS program by reporting all EHSS-related concerns or problems immediately to the appropriate individual (ERT, Supervision, etc.).

Employer will accept a Bachelor’s degree in Electrical Engineering, Chemical Engineering, Computer Engineering, Information Systems or related field.

Position requires:

1. Semiconductor manufacturing process control concepts, including statistical process control (SPC), fault detection, and data-driven monitoring techniques for equipment and processes
2. Analyze manufacturing data and system outputs to diagnose abnormal equipment or process behavior, evaluate trends, and support engineering decisions to mitigate performance deviations
3. Manufacturing systems supporting semiconductor production, including MES and process control platforms, with an understanding of rule-based logic
4. Structured manufacturing data using SQL, Python, or similar tools
5. Root-cause analysis methodologies, such as FMEA, RCA, 8D or similar approaches, to systematically identify underlying causes and support corrective and preventive actions in manufacturing environments
6. Automated reporting and dashboarding solutions used to aggregate, standardize, and monitor manufacturing data and equipment signals using common visualization tools

The US base salary range that Micron Technology, Inc. estimates it could pay for this full-time position is $110,500.00 - $131,000.00. For additional pay & benefits information, please refer to the requisition at Micron.com/careers.

Job Profile(s):

FAB Engineer 2

Relocation Level: TBD

Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.