Data-Driven Yield & Process Engineer

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

Benefits offered by this job

Stock bonuses

Health benefits

Retirement plan

Vacation

Job summary

Intel Corporation in Phoenix is seeking a Process Integration and Yield Engineer with a strong technical background to sustain, ramp, and transfer technology nodes in Arizona. They will drive rapid improvements in safety, quality, yield, reliability, cost, process stability/capability, and productivity while maintaining rigorous quality control.

You will perform detailed data analysis, lead continuous improvement projects, and collaborate with process teams to optimize tool and process

Qualifications

• BS in Electrical/Materials/Chemical/Mechanical/Optical Engineering, Physics, Chemistry or related STEM with 4+ years experience, or MS/PhD in the same fields.
• Knowledge of semiconductor fabrication and processing techniques (Lithography, Etch, Diffusion, Implant, Planar and Thin Films).
• DOE and Statistical Data Analysis using JMP/JSL, Python, SQL.

Responsibilities

• Perform detailed data analysis to identify root causes of defects and yield issues.
• Identify baseline sources of defects and recommend corrective actions.
• Lead continuous improvement projects for enhanced performance.
• Provide expertise on process flow segments.
• Collaborate in multi-area teams to troubleshoot complex yield problems.

Skills

Data analysis

Statistical methods

Python

SQL

JMP/JSL

Education

B.S. in Electrical Engineering

M.S. in STEM

Ph.D. in STEM

Tools

JMP/JSL

Python

SQL

Job description

Intel Corporation in Phoenix is seeking a Process Integration and Yield Engineer with a strong technical background to sustain, ramp, and transfer technology nodes in Arizona. They will drive rapid improvements in safety, quality, yield, reliability, cost, process stability/capability, and productivity while maintaining rigorous quality control.

You will perform detailed data analysis, lead continuous improvement projects, and collaborate with process teams to optimize tool and process