Micron Technology
Manufacturing
Engineer-OperationsImprovement
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Engineer - Operations Improvement at Micron Technology. Skills: Operations Improvement, Automation, Data analysis. Identify and implement innovative solutions to optimize Fab. Eliminate inefficiencies”
What You'll Achieve.
Improve production metrics
Industry & Context.
Root-cause analysis; Problem-solving
What They're Looking For.
Must Have
MS in Industrial Engineering, Mechanical Engineering, Computer Science, or Data Science, Hands-on experience designing, querying, and optimizing relational (SQL) and NoSQL databases (MongoDB) in production environments with SQL and Python required, Proven ability to plan, drive, and complete projects effectively, Proficiency in statistics, data analysis, and problem-solving, Understanding of Manufacturing Science including scheduling, inventory management, and capacity planning
Nice to Have
2 years of relevant experience through semiconductor internship or equivalent, leading decision-support, workflow automation, or data engineering initiatives in complex environment, Advanced data extraction, analysis, and reporting skills, written and verbal communication skills with the ability to communicate complex analysis succinctly, Experience building and deploying end‑to‑end ML systems, or interest in developing production-grade ML automation
What You'll Do.
Identify and implement innovative solutions to optimize Fab
Eliminate inefficiencies
Collaborate with Fab Operations
and cross‑functional Operations
high‑impact automation solutions
Define and deliver a decision‑support and workflow automation
Blend human expertise with analytics and AI/ML
Partner with management to deliver data analysis
Deliver advanced production web reports
Deliver applications that improve production metrics
Build and lead automation projects
Eliminate manual operations tasks
Accelerate root‑cause analysis
Improve decision quality
Ensure compliance with safety policies and regulations
Report any safety‑related concerns immediately
How You'll Work.
Team & Collaboration
Cross-functional Operations Improvement teams
Communication Scope
Communicate complex analysis
Process & Methodology
Project planning, Project driving, Project completion
Full 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. Join our dynamic team at Micron as **an Operations Improvement Engineer** in Boise, ID, where you will play a pivotal role in advancing our manufacturing processes. This outstanding opportunity allows you to apply your expertise to drive outstanding operational efficiency and deliver flawless results that compete on a world-class level! **Responsibilities:** * Identify and implement innovative solutions to optimize Fab processes and eliminate inefficiencies, with a focus on automated production movement systems. * Collaborate with Fab Operations, IT, and cross‑functional Operations Improvement teams (Automation, Scheduling, Applications) to deliver scalable, high‑impact automation solutions * Define and deliver a decision‑support and workflow automation framework that blends human expertise with analytics and AI/ML. * Partner with management to deliver data analysis, advanced production web reports, and applications that improve production metrics. * Build and lead automation projects that eliminate manual operations tasks, reducing effort, shortening cycle time, accelerating root‑cause analysis, and improving decision quality. * Ensure compliance with safety policies and regulations and report any safety-related concerns immediately. **Minimum Qualifications:** * MS in Industrial Engineering, Mechanical Engineering, Computer Science, or Data Science. * Hands-on experience designing, querying, and optimizing relational (SQL) and NoSQL databases (MongoDB) in production environments with SQL and Python required. * Proven ability to plan, drive, and complete projects effectively. * Proficiency in statistics, data analysis, and problem-solving. * Understanding of Man
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