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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # APTM Yield Analysis Senior Engineer / Team Leader - **Company:** Intel Corporation - **Location:** Hillsboro, OR, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Data Analysis, Big Data, Information Systems, Data Mining, Monitoring of Systems, Python (Programming Language), Machine Learning, Unstructured Data, JMP (Statistical Software), Yield Optimization, Information Technology, Data Analytics - **Published:** August 6, 2026 - **Apply:** https://us.experteer.com/career/view-jobs/aptm-yield-analysis-senior-engineer-team-leader-hillsboro-or-usa-58813170 ## About the Role * monitoring systems * Collaborate with Process Engineering, Integration, Q&R, Product Engineering, and Test Development teams to resolve yield and defect challenges * Prepare and present technical reports on yield, defect trends, and device health metrics * Define and drive corrective actions to achieve world-class yield performance * Lead technology development, transfer, and ramp-to-HVM with cross-functional stakeholders * Lead and mentor small teams of engineers; travel domestically and internationally as required Tasks * Bachelor's degree with 9+ years of experience, or Master's with 6+ years, or PhD with 4+ years * Experience in Materials Science/Engineering, Mechanical, Chemical, Electrical, Computer Science, Information Systems, Physics, or related field * 5+ years of data analysis experience using JMP, Python, or similar tools Key requirements * competitive pay * stock bonuses * health benefits * retirement plans * vacation * family/pamily support programs ## Description Experteer Overview In this role you drive yield and defect improvements across Intel's advanced packaging portfolio. You will lead data-driven investigations using large datasets, inline metrology, and cross-functional teams to reduce yield loss and improve manufacturing and test methods. You'll influence technical roadmaps, set team priorities, and tackle complex yield challenges to enable scalable ramp to high-volume manufacturing. This position offers deep technical specialization in advanced packaging and measurable manufacturing impact. Compensation / Benefits * Extract insights from structured and unstructured data using statistics, ML, and data mining * Analyze large volumes of manufacturing, test, and defect data to identify yield-impacting trends * Develop and implement process- and data-driven solutions for yield improvement * Drive recommendations and shape yield improvement roadmaps across development and manufacturing * Evaluate inline defect metrology performance and defect monitoring systems * Collaborate with Process Engineering, Integration, Q&R, Product Engineering, and Test Development teams to resolve yield and defect challenges * Prepare and present technical reports on yield, defect trends, and device health metrics * Define and drive corrective actions to achieve world-class yield performance * Lead technology development, transfer, and ramp-to-HVM with cross-functional stakeholders * Lead and mentor small teams of engineers; travel domestically and internationally as required Tasks * Bachelor's degree with 9+ years of experience, or Master's with 6+ years, or PhD with 4+ years * Experience in Materials Science/Engineering, Mechanical, Chemical, Electrical, Computer Science, Information Systems, Physics, or related field * 5+ years of data analysis experience using JMP, Python, or similar tools Key requirements * competitive pay * stock bonuses * health benefits * retirement plans * vacation * family/pamily support programs ## Related Videos - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Solving the puzzle: Leveraging machine learning for effective root cause analysis](https://www.wearedevelopers.com/videos/1518-solving-the-puzzle-leveraging-machine-learning-for-effective-root-cause-analysis) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [The Innovation Formula: Fast Prototyping, Data Analysis, and Real User Insights](https://www.wearedevelopers.com/videos/1421-the-innovation-formula-fast-prototyping-data-analysis-and-real-user-insights) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Best Paying Jobs in Technology](https://www.wearedevelopers.com/magazine/256-best-paying-jobs-in-technology) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)