AI-Driven Process Engineer for Semiconductors | Yield

1000 Micron Technology, Inc.; Manassas (VA); On-site; USD 95,000 - 145,000; Full time

Job summary

Micron Technology in Manassas, VA, is hiring a Process Engineer to develop, optimize, and sustain semiconductor fabrication processes that drive yield, quality, cost, and productivity.

You will apply data analytics, partner with process, manufacturing, facilities, quality, and maintenance teams, and lead improvements across technology nodes to ensure ramp and production targets are met.

Qualifications

• Bachelor’s degree or advanced certification in a related technical field or equivalent experience.
• Experience with SPC, FDC, FMEA, 8D.
• Semiconductor process development, process flow, recipe management.
• Data analysis, interpreting results, continuous improvement.
• Effective communication with customers and stakeholders.

Responsibilities

• Develop, optimize, and sustain fabrication process steps for yield, quality, cost and productivity.
• Drive step-level process changes, validate new technology node readiness, evaluations and lead continuous improvement initiatives.
• Investigate yield and defectivity issues by tracking process performance using methods like FMEA, 8D, SPC, FDC, APC.
• Apply data analytics to prevent recurring issues and minimize production downtime.
• Partner and collaborate across functions (Process, Manufacturing, Facilities, Quality, Maintenance teams) to resolve issues.
• Communicate findings and recommendations to stakeholders.

Skills

SPC

FDC

FMEA

8D

Data analytics

Cross-functional

Communication

Education

Bachelor’s degree in a related technical field

Advanced certification or equivalent experience

Military technical experience

Tools

JMP

Metrology & inspection

Machine learning (basic)

Job description

Micron Technology in Manassas, VA, is hiring a Process Engineer to develop, optimize, and sustain semiconductor fabrication processes that drive yield, quality, cost, and productivity.

You will apply data analytics, partner with process, manufacturing, facilities, quality, and maintenance teams, and lead improvements across technology nodes to ensure ramp and production targets are met.