AI-Enabled Assembly Process Engineer - Yield

micron; Boise (ID); In loco; USD 70.000 - 100.000; Tempo pieno

Vantaggi offerti da questo lavoro

Medical, dental and vision plans

Paid time-off

Paid holidays

Descrizione del lavoro

Micron Technology is seeking a Process Engineer to support startup, development, optimization, and continuous improvement of semiconductor assembly processes. You will analyze data, apply AI-enabled analytics, and collaborate across manufacturing, equipment, quality, and suppliers to enhance yield and productivity.

You will diagnose issues using structured problem-solving methods and deploy validated process baselines to support new product introductions across sites.

Competenze

• Bachelor's degree in engineering or related technical field.
• 0 to 2 years in semiconductor manufacturing or high-volume manufacturing.
• Experience applying structured problem-solving methodologies (FMEA, 8D, failure analysis, SPC or data analysis).
• Experience supporting process qualification, yield improvement, or cost reduction initiatives.
• Proficiency with data analytics tools and AI-enabled ways of working.

Mansioni

• Identify, diagnose, and resolve assembly process issues using structured problem-solving methodologies.
• Coordinate evaluations; implement and validate process changes to improve quality and yield.
• Lead or support continuous improvement initiatives focused on yield, cost, and productivity.
• Validate and deploy qualified process baselines to support new product introductions.

Conoscenze

Structured problem-solving

Data analytics

AI-enabled analytics

Formazione

Bachelor's degree in Engineering, Materials Science, Manufacturing Engineering, Chemical Engineering, or related technical field

Strumenti

SPC/FDC

Descrizione del lavoro

Micron Technology is seeking a Process Engineer to support startup, development, optimization, and continuous improvement of semiconductor assembly processes. You will analyze data, apply AI-enabled analytics, and collaborate across manufacturing, equipment, quality, and suppliers to enhance yield and productivity.

You will diagnose issues using structured problem-solving methods and deploy validated process baselines to support new product introductions across sites.