AI-Driven Process Engineer - Semiconductor Manufacturing

1000 Micron Technology, Inc.; Boise (ID); On-site; USD 75,000 - 110,000; Full time

Benefits offered by this job

Medical, dental and vision plans

Paid time-off

Paid holidays

Job summary

Micron Technology in Boise, Idaho seeks a Process Engineer to help start up, develop, and continuously improve semiconductor assembly processes.

You will diagnose issues with structured methods (FMEA, 8D, SPC) to boost yield, reliability and manufacturing efficiency while partnering with manufacturing, equipment, quality and suppliers. This role emphasizes data-driven decisions using AI-enabled analytics and manufacturing data.

Qualifications

• Bachelor's degree in Engineering or related technical field.
• 0–2 years in semiconductor manufacturing or similar high-volume setting.
• Experience with structured problem-solving (FMEA, 8D, failure analysis).
• Experience supporting process qualification, yield, or cost-reduction initiatives.
• Proficiency with data analytics tools and AI-enabled decision making.

Responsibilities

• Identify, diagnose, and resolve assembly process issues using structured methodologies.
• Coordinate evaluations of processes, equipment, and materials and implement changes.
• Lead or support continuous improvement to improve yield, cost, and productivity.
• Validate and deploy qualified process baselines for new products.
• Leverage AI-enabled analytics and manufacturing data for monitoring and root-cause analysis.

Skills

Analytical thinking

Problem solving

Data analytics

AI-enabled analytics

Education

Bachelor's degree in Engineering

Tools

Data analytics tools

Job description

Micron Technology in Boise, Idaho seeks a Process Engineer to help start up, develop, and continuously improve semiconductor assembly processes.

You will diagnose issues with structured methods (FMEA, 8D, SPC) to boost yield, reliability and manufacturing efficiency while partnering with manufacturing, equipment, quality and suppliers. This role emphasizes data-driven decisions using AI-enabled analytics and manufacturing data.