Senior Process Engineer, AI-Driven Semiconductors

Micron Technology, Inc.

Boise (ID)

On-site

USD 90,000 - 140,000

Full time

3 days ago
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Benefits offered by this job

Medical, dental and vision plans
Paid time off
Paid holidays
Paid family leave
Retirement benefits

Job summary

Micron Technology, Inc. in Boise, Idaho is hiring a Process Engineer to develop, sustain, and optimize DRAM manufacturing and assembly processes.

The role focuses on improving quality, reliability, yield, cost, and productivity while leveraging AI-enabled tools, data analytics, and digital workflows to accelerate problem solving and strengthen process control. Responsibilities include leading improvement initiatives, diagnosing process issues with root-cause methods, qualifying new processes and

Qualifications

  • PhD or MS/BA with 3+ years of relevant experience in engineering, manufacturing or materials.
  • Experience with structured problem-solving methods (8D, DOE, FMEA).
  • Knowledge of process optimization, yield improvement, and cost reduction practices.

Responsibilities

  • Develop, optimize, and sustain DRAM manufacturing and assembly processes to improve quality and yield.
  • Lead root-cause analyses and continuous improvement initiatives using SPC, FMEA, 8D.
  • Qualify new processes, tools, and materials for manufacturing and NPI.
  • Support process control, supplier quality, and internal/external audits.

Skills

Analytical thinking
Cross-functional collaboration
Problem-solving
Communication

Education

PhD in Engineering or related field
MS/BA with 3+ years industry experience

Job description

Micron Technology, Inc. in Boise, Idaho is hiring a Process Engineer to develop, sustain, and optimize DRAM manufacturing and assembly processes.

The role focuses on improving quality, reliability, yield, cost, and productivity while leveraging AI-enabled tools, data analytics, and digital workflows to accelerate problem solving and strengthen process control. Responsibilities include leading improvement initiatives, diagnosing process issues with root-cause methods, qualifying new processes and

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