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$129,893–$224,250.
Based on 240 similar postings.
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About Micron Technology
Micron Technology is a global leader in innovative memory and storage solutions including DRAM, NAND flash memory, and solid-state drives for computing, mobile, automotive, and data center applications. Industry: Semiconductor Memory & Storage
Micron Technology currently has
73 open roles
on FindRole.
Engineer - Operations Improvement joins the Operations Improvement team to advance manufacturing processes and drive operational efficiency. The role involves identifying and implementing innovative solutions to optimize Fab processes, specifically focusing on automated production movement systems. Key responsibilities include defining decision-support and workflow automation frameworks that blend human expertise with analytics and AI/ML. The engineer will build automation projects to eliminate manual tasks, shorten cycle times, and accelerate root-cause analysis. Required technical skills include proficiency in SQL, Python, and managing relational and NoSQL databases like MongoDB. Candidates must demonstrate expertise in statistics, data analysis, and manufacturing science, including scheduling, inventory management, and capacity planning. The work focuses on delivering scalable automation solutions and advanced production web reports within a complex semiconductor manufacturing environment.
What does a Engineer earn?
Median $178175 from 251 postings across 54 companies.
Identify and implement innovative solutions to optimize Fab processes and eliminate inefficiencies.
Develop and deploy scalable automation solutions for automated production movement systems.
Create a decision-support and workflow automation framework using analytics and AI/ML.
Deliver data analysis, advanced production web reports, and applications to improve production metrics.
Lead automation projects to eliminate manual tasks and shorten production cycle times.
Accelerate root-cause analysis and improve decision quality through automated workflows.
Ensure compliance with all safety policies and regulations within the manufacturing environment.
What we're looking for
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.
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.
2 years of relevant experience through semiconductor internship or equivalent leading decision-support, workflow automation, or data engineering initiatives (preferred).
Advanced data extraction, analysis, and reporting skills (preferred).
Experience building and deploying end-to-end ML systems, or strong interest in developing production-grade ML automation (preferred).
AI
LLMs
Power Automate
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No-code
Low-code
Forms
Lists
Databases
Process Improvement
Project Management
Technical Analysis
Product Roadmaps
Data Sensitivity