Sr AI Architect - Semiconductor Yield & Process Control - Richardson, TX, United States
Originally posted 25 August 2026 by the employer — open 18 days.
About the role
This role involves designing and deploying intelligent systems to drive yield improvement through root cause analysis and process optimization within wafer fabrication operations. The focus is on bridging advanced data analytic techniques with semiconductor manufacturing domain knowledge to build production-grade platforms.
What you'll do
- 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.
- Build and maintain AI/ML solutions for anomaly detection and process control enhancement.
- Integrate solutions with manufacturing systems and data platforms.
- Lead cross-functional teams to build and deploy production software applications.
- Define and help manage site data architecture strategies for optimal impact.
What you'll need
- 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.
- 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.
Nice to have
- 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.
Skills: yield enhancement, root cause analysis, process optimization, statistical correlation engines, AI/ML solutions, semiconductor manufacturing
This role has been open 17 days — well below the 67-day median for Yield Engineering roles.
Yield Engineering · Yield Engineering
|
Open roles in category
206
|
Median days open
67 d
|
Median salary
$134k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | QORVO | All employers we track in this specialty (206 roles · 33 employers) |
|---|---|---|
| Open roles in this specialty | 1 | 206 |
| Median days open | 17 d | 67 d (−50 d vs this employer) |
| Median salary (USD postings) | — | $134k |
Skills observed across this category: yield enhancement, root cause analysis, process optimization, statistical correlation engines, AI/ML solutions, semiconductor manufacturing
Who's hiring in this category
- Micron Technology · 121 open roles · median 73 d
- GlobalFoundries · 9 open roles · median 178 d
- Intel Corporation · 8 open roles · median 56 d
- STMicroelectronics · 8 open roles · median 18 d
- Qualcomm · 6 open roles · median 102 d
- Entegris · 5 open roles · median 15 d
How we counted: 206 open Yield Engineering (Yield Engineering) roles from 33 employers tracked in the SemiconductorJobs index, counted 12 Sept 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there. Figures refresh nightly.