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Shift Manufacturing Engineer - F4 IDCMP Process Priority

Job in Boise, Ada County, Idaho, 83701, USA
Listing for: Micron Technology, Inc.
Part Time position
Listed on 2026-10-20
Job specializations:
  • Manufacturing / Production
    Lean Manufacturing / Six Sigma, Manufacturing Engineer
Salary/Wage Range or Industry Benchmark: 85000 - 125000 USD Yearly USD 85000.00 125000.00 YEAR
Job Description & How to Apply Below
Position: Shift Manufacturing Engineer - F4 ID1 CMP Process  United States of America Company Priority Flexible Location
## Shift Manufacturing Engineer - F4 ID1 CMP Process Boise, Idaho, United States of America Apply Now Find out how well you match with this jobJob :
JR114211
** 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.
** Our Opportunity

Summary:

** Fab 4 CMP Operations supports the safe, efficient, and high-quality movement of wafers through the CMP process area. Our team works closely with peer manufacturing areas, Process teams, Equipment teams, and many other organizations to supervise fab performance, manage production risks, optimize cycle time, and drive execution against move targets. Through real-time decision making and continuous improvement, we help ensure the fab meets customer and business commitments.  

The Shift Manufacturing Engineer (ME) is responsible for driving daily fab performance within the assigned area. This role partners closely with Manufacturing Technicians, Shift Lead Engineers, Process Engineers, and Operations teams to achieve wafer move targets, optimize cycle time, respond to quality concerns, and maintain efficient workflow through the manufacturing line.  Working on a 12-hour compressed workweek schedule, this position provides real-time operational leadership by identifying manufacturing constraints, supervising material flow, supporting production decisions, and driving actions needed to meet weekly wafer movement and wafer-on-hand objectives.  

**(Disclaimer**) While you may not exhibit all of the characteristics/skills listed below today, we are highly interested in a team member who is anxious to grow in both technical breadth and depth. If you are open to learning from and being a valued member of a team of top-tier engineers, we are eager to help build on your existing foundation and expand your individual and collaborative skills in this exciting and unique opportunity.

** What’s Encouraged Daily:
*** Supervise wafer movement performance by DID, process step, and operational targets.
* Identify manufacturing gaps, WIP imbalances, bottlenecks, and workflow disruptions.
* Develop and implement plans to close gaps and achieve weekly move and wafer-on-hand commitments.
* Support operational decision-making to optimize capacity utilization and factory performance.
* Partner with Engineering teams to prioritize and communicate tool-related needs.
* Support automation, reporting, and process improvements that improve visibility and decision-making.
* Leveraging AI powered tools and technologies to improve operational decision-making, increase productivity, and enhance visibility into manufacturing performance.  
** How To Qualify:
*** Bachelor's degree or equivalent experience in Industrial Engineering, Manufacturing Engineering, Operations Management, Supply Chain, Engineering, or a related technical field.
* Proven analytical and problem-solving skills.
* Ability to work in a fast-paced manufacturing environment.
* Strong communication and teamwork skills.  
** What Sets You Apart:
*** Semiconductor manufacturing experience.
* Experience with production planning, factory flow management, or industrial engineering concepts.
* Knowledge of cycle time management, bottleneck analysis, and manufacturing optimization.
* Experience using manufacturing systems, reporting tools, and data analysis platforms.
* Familiarity with statistical analysis and continuous improvement methodologies.
* Experience leading projects and influencing cross-functional teams without direct authority.
* Experience with programming, database management,…
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