Process Control Engineer – AI-Driven Yield Improvement

3000 Micron Idaho Semiconductor Manufacturing (Triton) LLC; Boise (ID); On-site; USD 95,000 - 125,000; Full time

Benefits offered by this job

Medical, dental and vision plans

Paid time off

Job summary

Micron Technology in Boise, Idaho is seeking a Process Control Engineer to develop and deliver control strategies that reduce process variation and improve yield. You will collaborate with process engineering, IT and data science teams to craft models and automate decision logic while sharing best methods across a global control engineering community.

The role emphasizes analytics, data extraction, scripting, and strong communication to drive efficient manufacturing outcomes and continuous

Qualifications

• A BS degree in Engineering, Computer Science, Physics, or a related field is required.
• 1-2 years of exposure to SPC through academia or direct work experience.
• 1-2 years of experience with analytical problem-solving and data analysis.

Responsibilities

• Design and implement solutions to reduce process variation and develop systems that automate or simplify process control tasks.
• Identify process requirements to design and deliver decision logic.
• Write scripts to extract, shape and filter data for analysis to develop predictive and control models.
• Extracting data from different databases via SQL and other query languages and apply data cleansing, outlier identification, and missing data techniques.
• Leverage AI tools in project development and daily productivity.
• Establish and maintain effective relationships with colleagues and partners.
• Organize tasks for maximum efficiency, incorporating department priorities.
• Coordinate and facilitate meetings and project teams.
• Communicate complex analysis in a succinct and impactful manner.

Education

BS degree in Engineering, Computer Science, Physics, or related field

Tools

Python

JMP

Java

JavaScript

Job description

Micron Technology in Boise, Idaho is seeking a Process Control Engineer to develop and deliver control strategies that reduce process variation and improve yield. You will collaborate with process engineering, IT and data science teams to craft models and automate decision logic while sharing best methods across a global control engineering community.

The role emphasizes analytics, data extraction, scripting, and strong communication to drive efficient manufacturing outcomes and continuous