Yield Architect: Process Integration Engineer

Intel Corporation; Chandler (AZ); On-site; USD 104,000 - 199,000; Full time

Benefits offered by this job

Competitive pay

Stock bonuses

Health benefits

Retirement plan

Paid vacation

Job summary

Intel Corporation in Arizona is seeking a Process Integration and Yield Engineer to drive rapid improvements in safety, quality, yield, and productivity. The role emphasizes delivering high-quality analytic insights to minimize defects and optimize process parameters in a collaborative factory setting.

Candidates should have a strong background in semiconductor fabrication, statistics/DOE, and data analysis tools such as JMP/JSL, Python, and SQL.

Qualifications

• BS degree in Electrical Engineering, Microelectronics Engineering, Material Science Engineering, Chemical Engineering, Mechanical Engineering, Optical Engineering, Statistics/Data Science, Chemistry, Physics or related STEM field with 4+ years of experience, or Master’s degree with 3+ years of experience or a Ph.D. in the above labeled fields.

Responsibilities

• Performing detailed data analysis using various statistical/data mining tools to identify the root cause of defect and yield issues.
• Identifying exclusionary or baseline sources of defects or yield impacts and recommending/leading corrective actions/fixes.
• Lead/participate continuous improvement projects on products and processes for improved performance.
• Provide expertise on process flow segments.
• Lead/participate in multi-area problem solving teams to provide expertise to troubleshoot complex yield problems.

Skills

Statistical analysis

DOE

Python

SQL

Education

BS in Electrical Engineering or related STEM field

MS or PhD in relevant field (optional)

Tools

JMP/JSL

Job description

Intel Corporation in Arizona is seeking a Process Integration and Yield Engineer to drive rapid improvements in safety, quality, yield, and productivity. The role emphasizes delivering high-quality analytic insights to minimize defects and optimize process parameters in a collaborative factory setting.

Candidates should have a strong background in semiconductor fabrication, statistics/DOE, and data analysis tools such as JMP/JSL, Python, and SQL.