RDA Process Engineer — Real-Time Defect Analytics

Micron Technology

Boise (ID)

On-site

USD 110,000 - 170,000

Full time

20 hours ago
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Job summary

Micron Technology is seeking an ID1 RDA Process Engineer to monitor inline defectivity, identify process anomalies, and lead defect-reduction initiatives. You will leverage advanced inspection/metrology tools, analyze large data sets, and work with cross-functional teams to improve manufacturing outcomes.

This role influences high-volume production and transfer of new tech. The position emphasizes data-driven decision-making, problem-solving, and collaboration across global sites to advance

Qualifications

  • Bachelor’s degree in a technical field such as EE, chemical or materials science.
  • Strong analytical and problem-solving abilities with clear communication.
  • Experience investigating process anomalies and performing root-cause analysis.
  • Willingness to learn new technologies and manufacturing processes.
  • 5+ years in semiconductor manufacturing, especially RDA or metrology.

Responsibilities

  • Analyze process flows, defect data, and inline signals to identify anomalies and drive corrective actions.
  • Support experimentation, baseline health monitoring, and defect reduction initiatives.
  • Use inspection and metrology tools to detect issues early and locate sources of variation.
  • Collaborate with global teams to develop and deploy best-known methods.
  • Drive continuous improvement through data analysis and process optimization.

Skills

Analytical thinking
Problem solving
Communication skills
Willingness to learn new technologies
Semiconductor manufacturing experience

Education

Bachelor’s degree in Electrical Engineering
Bachelor’s degree in Chemical Engineering
Bachelor’s degree in Materials Science and Engineering

Job description

Micron Technology is seeking an ID1 RDA Process Engineer to monitor inline defectivity, identify process anomalies, and lead defect-reduction initiatives. You will leverage advanced inspection/metrology tools, analyze large data sets, and work with cross-functional teams to improve manufacturing outcomes.

This role influences high-volume production and transfer of new tech. The position emphasizes data-driven decision-making, problem-solving, and collaboration across global sites to advance

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