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About the Role

The Advanced Packaging Technology and Manufacturing (APTM) Yield Organization is seeking a Data Scientist to analyze manufacturing data, develop assembly yield models, and create AL/ML and agentic AI systems.

Responsibilities

• Develop proof of concepts to demonstrate technical feasibility of predictive yield models and data analytics methodologies using AI/ML, agentic AI, and computer vision.
• Define and architect AI agents for yield modeling and manufacturing data analytics use-cases, including frameworks for agent orchestration, multi-agent coordination, RAG, system deployment, and continuous improvements.
• Collaborate with yield analysts and business partners to understand manufacturing yield issues and translate them into system requirements for scalable solutions.

Requirements

• Possess a bachelor's degree with 6+ years of relevant experience or master's degree with 5+ years of relevant experience or PhD degree with 3+ years of relevant experience in Computer Science, Data Science, or any other Engineering discipline.
• 2+ years of experience with LLMs and autonomous AI system development using multi-agent frameworks (e.g., LangChain, LangGraph, AutoGen).
• 2+ years of experience with RAG pipeline development using vector databases.
• 2+ years of experience applying AI/ML, agentic AI, deep learning/computer vision (e.g., PyTorch, TensorFlow, OpenCV), or statistical methods to high-volume data.
• 2+ years of experience in Python programming for frontend and backend system pipeline development, including data parsing, ETL pipelines, UI development frameworks for data visualization (e.g., Streamlit, Flask), database integration (e.g., MySQL, PostgreSQL, MongoDB), or API development (e.g., FastAPI).
• Prior knowledge/experience in manufacturing and/or semiconductor industry and applying AI/ML to solve yield problems.
• Understanding of Intel package assembly manufacturing data landscape.
• Expertise with Git for version control and CI/CD pipeline for automated deployment.

Skills

• AI/ML
• Agentic AI
• Computer Vision
• LLMs
• Autonomous AI system development
• Multi-agent framework
• RAG pipeline development
• Vector database
• PyTorch
• TensorFlow
• OpenCV
• Statistical methods
• Python programming
• Data parsing
• ETL pipelines
• UI development
• Streamlit
• Flask
• Database integration
• MySQL
• PostgreSQL
• MongoDB
• API development
• FastAPI
• Git
• CI/CD pipeline

Location

• US, Arizona, Phoenix

Work Type

• On-site
• Experienced Hire
• Shift 1

Experience Level

• 6+ years (Bachelor's)
• 5+ years (Master's)
• 3+ years (PhD)

Education Level

• Bachelor's degree
• Master's degree
• PhD degree

Salary/Compensations

• $190,650.00 - $269,150.00 USD

Benefits

• Competitive pay
• Stock bonuses
• Health benefits
• Retirement benefits
• Vacation benefits

About the Company

• Intel Foundry strives to make every facet of semiconductor manufacturing state-of-the-art while delighting our customers -- from delivering cutting-edge silicon process and packaging technology leadership for the AI era, enabling our customers to design leadership products, global manufacturing scale and supply chain, through the continuous yield improvements to advanced packaging all the way to final test and assembly.
• We ensure our foundry customers' products receive our utmost focus in terms of service, technology enablement and capacity commitments.
• Employees in the Foundry Technology Manufacturing are part of a worldwide factory network that designs, develops, manufactures, and assembly/test packages the compute devices to improve the lives of every person on Earth.
• Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices.
• Intel’s official careers website. Find your next job and take on projects that shape tomorrow’s technology.

Equal Opportunity

• All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.