This listing doesn't post a salary. Most similar roles pay
$130,500–$229,075.
Based on 240 similar postings.
Employer
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
27 open roles
on FindRole.
Engineer - Operations Improvement joins a dynamic team to advance manufacturing processes through innovative solutions that optimize Fab operations and eliminate inefficiencies. The role focuses on automated production movement systems and building a decision-support and workflow automation framework that integrates human expertise with analytics and AI/ML. You will collaborate with IT, Fab Operations, and cross-functional teams to deliver scalable automation, advanced production web reports, and applications designed to reduce manual tasks, shorten cycle times, and accelerate root-cause analysis. The position requires proficiency in SQL, Python, and MongoDB for designing and querying databases. Candidates must possess skills in statistics, data analysis, and problem-solving while demonstrating an understanding of manufacturing science including scheduling, inventory management, and capacity planning. This role addresses complex production metrics within the semiconductor industry to improve decision quality and operational efficiency.
What does a Engineer earn?
Median $185000 from 249 postings across 48 companies.
Identify and implement innovative solutions to optimize Fab processes and eliminate production inefficiencies.
Develop automated production movement systems to improve manufacturing flow.
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 cycle times.
Accelerate root-cause analysis through automated systems and improved decision quality.
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.
Experience designing, querying, and optimizing relational (SQL) and NoSQL databases (MongoDB) in production environments using 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.
Advanced data extraction, analysis, and reporting skills.
Experience building and deploying end-to-end ML systems or a strong interest in developing production-grade ML automation.
SQL
Python
Power BI
JIRA
Excel
CAD
ArcGIS
Archibus
MRP
ERP
Lean
Six Sigma
Data Analysis
Data Visualization
Automation
Project Planning
Process Improvement
Operations Research