Job Details:

Job Description: 

Advanced Packaging Technology and Manufacturing (APTM) Yield Organization is looking for a Data Scientist who will work for manufacturing data analysis, assembly yield modeling and AL/ML, agentic AI system development.
Responsibilities will include:
• 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-case, including frameworks for agent orchestration, multi-agent coordination, RAG, system deployment and continuous improvements.
• Work with yield analysts and business partners to understand manufacturing yield issues, and translate them into system requirements to deliver scalable solutions.

Behavioral traits:

• Excellent communication and collaboration skills with the ability to influence cross-functional stakeholders, and tolerance to ambiguity for quickly changing environments.

Proactive and self-driven with minimum supervision.

Qualifications:

Qualifications

Minimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.

Minimum Qualifications:
• 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 or Data Science or any other Engineering discipline.
• 2+ experience of years with LLMs and autonomous AI system development using multi-agent framework (e.g. LangChain, LangGraph, AutoGen etc.), and RAG pipeline development using vector database.
• 2+ years of experience of applying AI/ML or agentic AI or deep learning/computer vision (e.g. PyTorch, TensorFlow, OpenCV), statistical methods to high volume data, and extracting insights to drive business decisions with quantifiable business impacts.
• 2+ years of experience in Python programming for frontend and backend system pipeline development including data parsing, ETL pipelines, UI development framework for data visualization (e.g. Streamlit, Flask), database integration with relational (e.g. MySQL, PostgreSQL) or NoSQL database (e.g. MongoDB) or API development (e.g. FastAPI).

Preferred Qualifications:
• Prior knowledge/experience in manufacturing and/or semiconductor industry and applying AI/ML to solve yield problems.
• Understanding on Intel package assembly manufacturing data landscape.

• Expertise with Git for version control and CI/CD pipeline for automated deployment.
Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.

          

Job Type:

Experienced Hire

Shift:

Shift 1 (United States of America)

Primary Location: 

US, Arizona, Phoenix

Additional Locations:

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 ordinance.

Position of Trust

N/A

Benefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.

 

 

Annual Salary Range for jobs which could be performed in the US: $190,650.00-269,150.00 USD

 

 

The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.

 

 

Work Model for this Role

This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.<