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Qorvo
Sr AI Architect - Semiconductor Yield & Process Control
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What they do
An Artificial Intelligence Engineer develops, tests, and deploys artificial intelligence models. May work closely with data software engineers and data professionals to train and implement AI models into existing systems or develop new applications.
$125,739 / year median in Texas
Job Description
Sr AI Architect - Semiconductor Yield & Process Control Qorvo - 3.6 Richardson, TX Job Details 13 hours ago Qualifications AI models Software engineering Time series models Bayesian inference Quality control statistical data analysis Spark Git Machine learning projects SQL Pareto charts Supervised learning Time Series Analysis Unsupervised learning Python Statistical analysis tools
Full Job Description Experience Level:
Professional Job Type:
Regular Location:
Richardson, TX, US, 75080 #job-location.job-location-inline { display: inline; }Requisition ID:
10680 .buttontext800162618c4487ea a{ border: 1px solid transparent; } .buttontext800162618c4487ea a: focus{ border: 1px dashed #00a0df !important; outline: none !important; } Qorvo (Nasdaq:
QRVO) supplies innovative semiconductor solutions that make a better world possible. We combine product and technology leadership, systems-level expertise and global manufacturing scale to quickly solve our customers' most complex technical challenges. Qorvo serves multiple high-growth segments of large global markets, including consumer electronics, smart home/IoT, automotive, EVs, battery-powered appliances, network infrastructure, healthcare and aerospace/defense. Visit www.qorvo.com to learn how our innovative team is helping connect, protect and power our planet. 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. 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 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 inSPC, 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. #LI-KR1 MAKE A DIFFERENCE AT QORVO
We are Qorvo. We do more than create innovative RF and Power solutions for the mobile, defense and infrastructure markets - we are a place to innovate and shape the future of wireless communications. It starts with our employees. As a unified global team, we bring a commitment to excellence, growth and a passion for creating what's next. Explore the possibilities with us. We are an Equal Employment Opportunity (EEO) employer and welcome all qualified applicants. Applicants will receive fair and impartial consideration without regard to any characteristics protected by applicable law, including race, color, religion, sex (as defined by law), national origin, age, military or veteran status, genetic information, or disability. .buttontextae3547975f14c2c4 a{ border: 1px solid transparent; } .buttontextae3547975f14c2c4 a: focus{ border: 1px dashed #00a0df !important; outline: none !important; } .buttontext402534a36c8438f4 a{ border: 1px solid transparent; } .buttontext402534a36c8438f4 a: focus{ border: 1px dashed #00a0df !important; outline: none !important; } Qorvo is an E-Verify Employer. For more information, please see the Right to Work and E-Verify Participation posters.Benefits
- Dental Insurance