AI-Driven Yield Analytics Manager

3000 Micron Idaho Semiconductor Manufacturing (Triton) LLC; Boise (ID); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Medical plan

Dental plan

Vision plan

Paid time off

Paid holidays

Job summary

Micron Technology's Boise Expansion Team seeks a Yield Analysis Manager to lead a data-driven effort to improve fab yield and product quality. You will guide a cross-functional team, champion MBPS and AI-enabled analytics, and translate complex data into actionable manufacturing improvements.

This role requires a technical bachelor's in engineering or physics, 5+ years in semiconductor manufacturing, and strong problem-solving skills.

Qualifications

• Bachelor’s degree in Electrical Engineering, Materials Science, Physics, or related field.
• 5+ years of semiconductor manufacturing experience.
• 3+ years of semiconductor physics knowledge and device operation.
• 3+ years of data analysis experience with JMP, Python or similar tools.
• Experience analyzing manufacturing or yield-related data and applying structured problem-solving methodologies.

Responsibilities

• Lead Yield Analysis team to achieve fab yield and quality goals through yield deviation management and long-term improvement.
• Establish and manage yield KPIs, forecasting methods, dashboards, and operating mechanisms.
• Drive MBPS, root cause analysis, statistical validation, and corrective action implementation.
• Collaborate with Process Integration, Process Engineering, Failure Analysis, Quality and Manufacturing to prioritize yield opportunities.
• Develop team capability through hiring, coaching, mentoring, and deployment of automation, analytics, and AI-enabled solutions.

Skills

Data analysis

Python

JMP

Problem solving

Cross-functional collaboration

Education

Bachelor's degree in Electrical Engineering

Bachelor's degree in Materials Science

Bachelor's degree in Physics

Tools

JMP

Python

Job description

Micron Technology's Boise Expansion Team seeks a Yield Analysis Manager to lead a data-driven effort to improve fab yield and product quality. You will guide a cross-functional team, champion MBPS and AI-enabled analytics, and translate complex data into actionable manufacturing improvements.

This role requires a technical bachelor's in engineering or physics, 5+ years in semiconductor manufacturing, and strong problem-solving skills.