Shift Process Engineer - Data-Driven Yield & Quality

Micron Technology; Boise (ID); On-site; USD 90,000 - 130,000; Full time

Job summary

Micron Technology in Boise, Idaho, is seeking a Shift Process Engineer to advance assembly processes in a fast-paced development environment. You will investigate process issues, use data to drive decisions, and collaborate with cross-functional teams to improve yield, quality, and operational performance.

You will apply failure analysis, SPC, and AI-enabled tools to diagnose problems, monitor trends, and evaluate process changes, materials, and vendor solutions.

Qualifications

• Bachelor’s degree in Engineering, Materials Science, Physics, Chemistry, or a related technical field.
• Experience analyzing data to solve technical problems and drive process improvements.
• Knowledge of SPC principles and process control methodologies.
• Ability to communicate technical information effectively across diverse audiences.
• Experience using AI-enabled tools such as Copilot, Claude, Gemini, or similar applications.

Responsibilities

• Identify, diagnose, and resolve process issues using failure analysis, FMEA, 8D, SPC, and FDC.
• Analyze process and manufacturing data to improve yield, product quality, and cost performance.
• Partner with engineering, operations, suppliers, and global sites to optimize process performance.
• Monitor process trends and implement improvements to increase process capability and equipment effectiveness.
• Support evaluation and qualification of process changes, materials, and vendor solutions.

Skills

Data analysis

SPC principles

Communication skills

AI tools

Education

Bachelor’s degree in Engineering/Materials Science/Physics/Chemistry

Tools

Copilot

Claude

Gemini

Microsoft Office

Job description

Micron Technology in Boise, Idaho, is seeking a Shift Process Engineer to advance assembly processes in a fast-paced development environment. You will investigate process issues, use data to drive decisions, and collaborate with cross-functional teams to improve yield, quality, and operational performance.

You will apply failure analysis, SPC, and AI-enabled tools to diagnose problems, monitor trends, and evaluate process changes, materials, and vendor solutions.