Engineer - Operations Improvement

Operations Improvement Engineer

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.

At Micron-Boise, ID, we are undergoing a historic $15 billion investment in semiconductor manufacturing; construction began in early 2023, with DRAM production slated for the second half of the decade.

As a key leader in the semiconductor industry, we build solutions that inspire and transform technology. With plans to invest more than $150 billion globally over the next decade in leading-edge manufacturing, we are looking for passionate people to join our Boise expansion team and contribute to the growth and innovation of the semiconductor industry.

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 Engineer, Computer Science, Data Science, or a BS degree with 2+ years of relevant experience, or an equivalent combination of education and experience.
• Understanding of core database management methods, covering both relational (SQL, Snowflake) and NoSQL (MongoDB) data stores.
• Proven ability to plan, drive, and complete projects effectively.
• Strong written and verbal communication skills with the ability to communicate complex analysis succinctly.
• Proficiency in statistics, data analysis, and problem-solving.
• Understanding of Manufacturing Science including scheduling, inventory management, and capacity planning.
• Working knowledge of programming languages such as SQL, C#, Perl, Python. (SQL and Python preferred)

Preferred Qualifications:

• Advanced data extraction, analysis, and reporting skills.
• Experience leading decision-support, workflow automation, or data engineering initiatives in complex environments.
• End-to-end software development knowledge.
• Experience building and deploying end-to-end ML systems, or strong interest in developing production-grade ML automation.
• Hands-on experience designing, querying, and optimizing relational and No SQL databases in production environments.

We look forward to seeing how you can help us successfully implement ambitious solutions and drive our mission forward!