Run-To-Run Process Control Engineer – MPC/Data-Driven

Micron Technology, Inc

Boise, Northern (ID, KY)

On-site

USD 90,000 - 120,000

Full time

4 days ago
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Benefits offered by this job

Health insurance
Paid time off
Paid holidays

Job summary

Micron Technology, Inc in Boise, Idaho seeks a Process Control Engineer (Run-To-Run) to develop and deliver process and equipment control solutions. You’ll collaborate with process engineering, IT, automation, and data teams to build predictive models and strategies that reduce variation and improve yield.

Responsibilities include designing decision logic, writing data extraction scripts, and applying SQL to cleanse data.

Qualifications

  • BS in Engineering, Computer Science, Physics, or related field.
  • 1–2 years of exposure to SPC or equivalent data analysis.
  • 1–2 years of analytical problem solving and data analysis experience.
  • 1–2 years of developing and presenting technical subject matter.

Responsibilities

  • Design and implement solutions to reduce process variation and develop systems that automate 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.
  • Extract data from databases via SQL and apply data cleansing, outlier handling, and missing data techniques.
  • Leverage AI agents and code assists in project development and daily productivity.
  • Coordinate meetings and facilitate project teams and communicate complex analysis clearly.

Skills

Scripting languages
Process Control Theory
Model Predictive Control
SPC/Data analysis
Semiconductor industry experience

Education

B.S. in Engineering/CS/Physics

Tools

SQL
Data extraction scripts
AI Agents/Code Assist

Job description

Micron Technology, Inc in Boise, Idaho seeks a Process Control Engineer (Run-To-Run) to develop and deliver process and equipment control solutions. You’ll collaborate with process engineering, IT, automation, and data teams to build predictive models and strategies that reduce variation and improve yield.

Responsibilities include designing decision logic, writing data extraction scripts, and applying SQL to cleanse data.

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