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Yield Enhancement Engineer - AOI, Process Integration & Data Analytics

Skyworks skyworksinc.com Open
Richardson Mid-level Data Analysis & BI

At a glance

Mid-level Data Analysis & BI role at Skyworks. Richardson · $86,600–$182,500 base.

SalaryStated by Skyworks
$86,600 – $182,500
Base salary for this role, in USD per year, as published in the posting.
RoleData Analysis & BI
SeniorityMid-level
LocationRichardson
Base pay$86,600–$182,500
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build and tune AOI recipes that find and classify defects
  • Trace yield and defect problems by comparing process, equipment, inspection, metrology and electrical-test data
  • Use semiconductor process interactions to pinpoint where yield losses arise across upstream and downstream steps
  • Apply SPC, Pareto analysis, DOE, regression and trend reviews to guide yield gains
  • Create monitoring dashboards and use AI, machine learning and image analysis to improve AOI investigations

What you bring

  • A bachelor’s degree in engineering, materials science, physics, data science or a related discipline
  • Relevant experience of at least five years with a bachelor’s, three with a master’s, or none required with a PhD
  • Strong data analysis and structured problem-solving ability

Who this fits

This mid-level engineering role suits someone focused on semiconductor yield, AOI and process integration, and comfortable working with engineering and manufacturing teams. The position is based in Richardson, Texas, and the company does not sponsor visas.

From the employer

If you are looking for a challenging and exciting career in the world of technology, then look no further. Skyworks is an innovator of high-performance analog semiconductors whose solutions are powering the wireless networking revolution. Through our broad technology expertise and one of the most extensive product portfolios in the industry, we are Connecting Everyone and Everything, All the Time.

At Skyworks, you will find a fast-paced environment with a strong focus on global collaboration, minimal layers of management, and the freedom to make meaningful contributions in a setting that encourages creative thinking. We are excited about the opportunity to work with you and glad you want to be part of a team of talented individuals who together are changing the way the world communicates.

Requisition ID: 79013

Description

We are seeking a Yield Enhancement Engineer to improve semiconductor yield through data analytics, structured problem solving, process integration, and automated optical inspection (AOI). The role will identify yield-loss mechanisms and work across Process, Equipment, Manufacturing, and Yield teams to implement sustainable improvements.

Responsibilities

  • Develop, optimize, and maintain AOI recipes for defect detection and classification.
  • Investigate yield and defectivity issues through structured root-cause analysis, correlating process, equipment, AOI, metrology, and electrical test data.
  • Apply semiconductor process and integration knowledge to understand upstream/downstream interactions and identify yield-loss mechanisms.
  • Use statistical methods including SPC, Pareto, DOE, regression, and trend analysis to drive yield improvements.
  • Develop dashboards and analytical tools for yield, defectivity, and process monitoring.
  • Partner across engineering and manufacturing teams to resolve excursions and prevent recurrence.
  • Apply AI/ML, image analytics, and advanced analytics to improve AOI and yield analysis.

Required Experience and Skills

  • Bachelor's degree in Engineering, Materials Science, Physics, Data Science, or a related field.
  • 5+ years relevant work experience.
    • If Master's then 3+ years relevant work experience.
    • If PhD then 0+ years relevant work experience.
  • Experience in semiconductor yield, process integration, process, or defect engineering preferred.
  • Good understanding of semiconductor processing and interactions across lithography, deposition, etch, clean, CMP, metallization, and inspection/metrology.
  • Strong data analysis and structured problem-solving skills.
  • Experience with Python, SQL, JMP, MATLAB, Databricks, or similar tools preferred.
  • Experience with AOI recipe development, wafer inspection, image analysis, or defect engineering strongly preferred.
  • Strong communication and cross-functional collaboration skills.

This position is not eligible for visa sponsorship by the Company.

The typical base pay range for this role across the U.S. is currently USD $86,600 - $182,500 per year. Starting base pay will depend on relevant experience and skills, training and education, business needs, market demands, the ultimate job duties and requirements, and work location. Skyworks has different base pay ranges for different work locations in the U.S. Benefits include access to healthcare benefits (including a premium-free medical plan option), a 401(k) plan and company match, an employee stock purchase plan, paid time off (including vacation, sick/wellness, parental leave), among others. Employees are eligible to participate in an incentive plan, and certain roles are also eligible for additional awards, including recognition and stock. These incentives and awards are based on individual and/or company performance.

Skyworks is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Skyworks strives to create an accessible workplace; if you need an accommodation due to a disability, please contact us at accommodations@skyworksinc.com.

Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Analysis & BI$80k+

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Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.