Posted:
2/11/2026, 5:42:09 AM
Location(s):
Phoenix, Arizona, United States ⋅ Arizona, United States
Experience Level(s):
Mid Level ⋅ Senior
Field(s):
Data & Analytics
Workplace Type:
On-site
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
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
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: $136,900.00-269,150.00 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.*
ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.Website: https://www.intel.com/
Headquarter Location: Santa Clara, California, United States
Employee Count: 10001+
Year Founded: 1968
IPO Status: Public
Last Funding Type: Post-IPO Equity
Industries: Artificial Intelligence (AI) ⋅ Information Technology ⋅ Product Design ⋅ Semiconductor ⋅ Software