- Lead development of advanced AI, Machine Learning, and Generative AI solutions that address critical semiconductor manufacturing and yield challenges.
- Drive adoption of AI technologies across MDCE and partner engineering organizations, enabling data-driven decision making and measurable business impact.
- Develop and deploy Large Language Model (LLM) and Generative AI applications that improve engineering productivity, accelerate troubleshooting, and enhance knowledge discovery.
- Analyze large-scale manufacturing datasets to identify yield detractors, process excursions, root causes, and optimization opportunities.
- Design and implement scalable data pipelines, analytics frameworks, and AI infrastructure that enable robust and sustainable manufacturing analytics.
- Collaborate closely with Yield Engineering, Process Integration, Manufacturing, and Technology Development teams to solve complex semiconductor challenges.
- Establish best practices for AI model development, software quality, deployment, monitoring, and lifecycle management.
- Lead cross-functional technical initiatives and influence strategic AI roadmaps across multiple engineering organizations.
- Mentor engineers and contribute to the growth of Intel's technical AI and Data Science community.
- Support Intel Foundry's manufacturing excellence objectives through innovative applications of AI, machine learning, and advanced analytics.
Requirements
- Bachelor's degree in Computer Science, Data Science, Electrical Engineering, Industrial Engineering, Statistics, Applied Mathematics, or in a STEM-related field.
- 6+ years of industry experience in one or more of the following: Data Science, Machine Learning, Artificial Intelligence, Advanced Analytics.
- Performing yield analysis, root-cause analysis, process engineering analytics, and Statistical Process Control (SPC).
- 5+ Years of Semiconductor industry experience with manufacturing, process, and yield-related challenges.
- Strong programming experience in Python and SQL including developing scalable data pipelines and production-quality analytical solutions.
- Experience leading cross-functional technical projects and driving business impact through data-driven solutions.
Core Competencies
Demonstrates expertise in developing and deploying AI and Machine Learning solutions within semiconductor manufacturing, focusing on yield analysis and data-driven decision making. Proficient in leading cross-functional teams and mentoring engineers to drive innovation and improve manufacturing processes.
Highest-signal resume keywords
- AI Solution Development
- Machine Learning Expertise
- Yield Analysis
- Python Programming
- Data Pipeline Development
ATS Optimization Keywords
Hard Skills
- Artificial Intelligence
- Machine Learning
- Data Science
- Advanced Analytics
- Statistical Process Control
- Root-Cause Analysis
- Process Engineering Analytics
- Large Language Model Applications
- Data Analysis
- Data Visualization
Soft Skills
- Mentoring
- Collaboration
- Leadership
- Influencing
- Communication
Industry Keywords
- Semiconductor Manufacturing
- Yield Challenges
- Process Integration
- Technology Development
- Data-Driven Solutions
Tools & Technologies
- SQL
- Data Analytics Frameworks
- AI Infrastructure
- Data Pipelines
- Manufacturing Analytics