New College Grad - ID1 ATE Process Engineer WET

Micron Technology•Boise, ID
•Onsite

About The Position

Micron is hiring for its Boise expansion as the company makes a historic investment in semiconductor manufacturing. The role focuses on starting up, developing, and optimizing Wet Etch processes to improve product quality, yield, cost, productivity, and risk management, and to resolve manufacturing-line problems. The engineer will work with multifunctional teams to address process issues and improve efficiency and yield, contributing to the production of high-quality semiconductor components. The role also involves using digital and AI-driven tools for process monitoring, data analysis, and decision-making. This includes applying AI, large language models, and automation for defect analysis, yield optimization, trend detection, and reporting efficiency, and using data-driven insights to improve process control and manufacturing performance.

Requirements

  • At least 2 years of industry experience as a Process Owner within Wet Etch Process.
  • Bachelor's or master's degree in an engineering field, equivalent military experience, or an associate degree with at least 5 years of industry experience.
  • Willingness to travel internationally for onboarding and training.

Nice To Haves

  • Strong understanding of semiconductor fabrication processes and equipment.
  • Excellent analytical and problem-solving skills and a meticulous approach.
  • Strong communication skills and ability to work collaboratively in a team environment.
  • Proficiency in data science and programming.

Responsibilities

  • Start up, develop, and optimize processes to improve product quality.
  • Drive process yield, cost, and productivity improvements and manage process risks.
  • Resolve manufacturing-line problems and collaborate with equipment and integration engineers to identify and resolve production issues.
  • Use project management skills to complete milestones that close yield, defectivity, production, and cost gaps.
  • Drive improvements across owned statistical process control (SPC) charts.
  • Use digital, AI, LLM, and automation tools for process monitoring, defect analysis, yield optimization, trend detection, and reporting.
  • Apply data-driven insights to improve process control and manufacturing performance.

Benefits

  • Choice of medical, dental, and vision plans.
  • Income-protection benefit programs in case of illness or injury.
  • Paid family leave.
  • Paid time off.
  • Paid holidays.
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