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Sr. AI Architect - Semiconductor Yield & Process Control

Job in Richardson, Dallas County, Texas, 75080, USA
Listing for: Skyworks Solutions, Inc.
Full Time position
Listed on 2026-10-30
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 86600 - 182500 USD Yearly USD 86600.00 182500.00 YEAR
Job Description & How to Apply Below

Sr. AI Architect
- Semiconductor Yield & Process Control

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Job Description

Job Title:

Sr. AI Architect
- Semiconductor Yield & Process Control Posting

Start Date:

10/27/26 Job Location(s):
Richardson

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

Description

About the Role

  • We are seeking an experienced AI/Data Architect to join the Texas Fab Yield Enhancement and Control Systems team. This person will be a solutions architect to design and deploy intelligent systems that drive yield improvement with root cause analysis and process optimization across our wafer fabrication operations. You will bridge advanced data analytic techniques with deep semiconductor manufacturing domain knowledge to build production-grade platforms.
Responsibilities

Key Responsibilities

  • Architect and implement AI/Data solutions for automated root cause analysis of yield excursions and process drift
  • Design statistical correlation engines linking process parameters, metrology data, and electrical test results across fabrication steps
  • Build and maintain AI/ML solutions for anomaly detection and process control enhancement
  • Work with IT to integrate solutions with manufacturing systems and data platforms.
  • Lead cross functional teams of Yield, Process, Equipment, Manufacturing, and IT teams to build and deploy production software applications.
  • Define and help manage with IT the site data architecture strategies for optimal impact.
Required Experience and Skills

Required Qualifications

  • Bachelor's Degree in Electrical Engineering, Materials Science, Computer Science, or related field — or equivalent industry experience.
  • 5+ years in semiconductor manufacturing, process engineering, or fab data systems
    • If Master's or PhD degree less years industry experience may be considered.
  • Expertise in statistical correlation methods (multivariate analysis, PCA, partial correlation, Granger causality) applied to manufacturing data
  • Strong software engineering skills (Python, SQL, Spark/PySpark, Git) with understanding of production-quality code practices
  • Demonstrated experience with AI architectures
  • Deep understanding of ML techniques: supervised/unsupervised learning, time-series analysis, Bayesian methods, and causal inference
  • Familiarity with yield management concepts: bin pareto, wafer maps, lot genealogy, split-lot analysis, inline-to-final correlation

Preferred Qualifications

  • Strong background in SPC, FDC, APC systems in semiconductor fab environment
  • Experience with semiconductor processes and integration for device fabrication
  • Working knowledge of MES/EMS systems, SECS/GEM, and equipment data collection
  • Hands‑on experience with advanced data storage, data engineering, and advanced data analytic techniques.
  • Familiarity with LLM frameworks

Education

  • BS / MS / PhD in Electrical Engineering, Materials Science, Computer Science, or related field — or equivalent industry experience

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

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