Job Details:

Job Description: 

Join Intel's Advanced Packaging Technology and Manufacturing (APTM) Yield Organization and become the architect of next-generation manufacturing intelligence! As a Data Scientist, you'll be at the forefront of transforming how we understand, predict, and optimize manufacturing yields through groundbreaking AI/ML technologies and autonomous agent systems.

What You'll Create

Drive the future of manufacturing analytics by developing revolutionary proof-of-concepts that demonstrate the technical feasibility of predictive yield models using AI/ML, agentic AI, and computer vision technologies. You'll design and architect sophisticated AI agent ecosystems for yield modeling and manufacturing data analytics, including advanced frameworks for agent orchestration, multi-agent coordination, RAG systems, and continuous improvement pipelines.

Your work will directly bridge the gap between complex manufacturing challenges and scalable AI solutions, collaborating closely with yield analysts and business partners to translate real-world manufacturing yield issues into transformative system requirements.

This isn't just data science—it's manufacturing transformation. Your innovations will influence production processes that power the world's most advanced semiconductor technologies, directly impacting yield optimization across Intel's cutting-edge packaging operations.

Ready to Transform Manufacturing Intelligence?

If you're passionate about applying cutting-edge AI to solve complex manufacturing challenges and want to see your innovations impact global semiconductor production, this is your opportunity to lead the future of manufacturing analytics.

Apply now and help us build the AI systems that will define next-generation manufacturing excellence!

Qualifications:

Qualifications

Minimum Qualifications

• Bachelor's degree with 6 years of experience, Master’s or Ph. D degree with 3 years of experience in Computer Science, Data Science, or Engineering discipline

• AI/ML Experience- 5+ years in AI/ML and software engineering with measurable impact

• Autonomous AI mastery - Hands-on experience developing LLMs and autonomous AI systems using multi-agent frameworks (LangChain, LangGraph, AutoGen) and RAG pipeline development with vector databases

• Applied AI track record - Demonstrated success applying AI/ML, agentic AI, deep learning/computer vision (PyTorch, TensorFlow, OpenCV), and statistical methods to high-volume data extraction and insights

• Full-stack Python - Python for end-to-end system development including data parsing, ETL pipelines, UI frameworks (Streamlit, Flask), database integration (MySQL, PostgreSQL, MongoDB), and API development (FastAPI)

Preferred Qualifications

• Manufacturing AI experience - Experience applying AI/ML solutions to extract insights and solve real manufacturing business problems

• DevOps proficiency - Git version control, CI/CD practices, and MLOps for automated deployment

• Container orchestration - Docker and Kubernetes for scalable system deployment

          

Job Type:

Experienced Hire

Shift:

Shift 1 (United States of America)

Primary Location: 

US, Arizona, Phoenix

Additional Locations:

Business group:

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.

Posting Statement:

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 ordinanc