Senior AI / Data Science Engineer

About the role

Join Intel's Manufacturing Development Customer Engineering (MDCE), a new organization within Intel Foundry Technology Manufacturing (FTM). MDCE bridges the gap between Technology Development (TD) and High Volume Manufacturing (HVM), accelerating technology readiness, manufacturing maturity, yield improvement, and operational excellence across Intel's product and foundry ecosystem. As a Senior AI / Data Science Engineer in the MDCE Data Science organization, you will lead the development, deployment, and adoption of advanced Artificial Intelligence (AI), Machine Learning (ML), and Generative AI technologies to accelerate yield learning, improve process optimization, and increase engineering productivity in semiconductor manufacturing.

Responsibilities

• Lead development of advanced AI, Machine Learning, and Generative AI solutions addressing critical semiconductor manufacturing and yield challenges.
• Drive adoption of AI technologies across MDCE and partner engineering organizations to enable data-driven decision making and measurable business impact.
• Develop and deploy Large Language Model (LLM) and Generative AI applications to 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 for robust and sustainable manufacturing analytics.
• Collaborate 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.

Core Competencies

• Ability to collaborate effectively within a team setting.
• Excellent communication skills.

Qualifications

Minimum Qualifications

• Bachelor's degree in Computer Science, Data Science, Electrical Engineering, Industrial Engineering, Statistics, Applied Mathematics, or a STEM-related field.
• 6+ years of industry experience in Data Science, Machine Learning, Artificial Intelligence, or Advanced Analytics.
• Experience 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.

Preferred Qualifications

• Postgraduate degree in Computer Science, Data Science, Electrical Engineering, Industrial Engineering, Statistics, Applied Mathematics, or a STEM-related field.
• Experience driving AI transformation initiatives across large engineering organizations.
• Experience developing Generative AI applications using Retrieval Augmented Generation (RAG) and Agentic AI architectures.
• Experience deploying AI/ML solutions into production environments.
• Experience developing APIs and microservices.
• Semiconductor foundry experience.
• Background in Yield Engineering, Process Integration, Process Development, or Manufacturing Engineering.
• Proven track record mentoring engineers and providing technical leadership.

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.

Pay

Annual Salary Range for jobs which could be performed in the US: $136,900.00 - $269,150.00 USD. The range 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.

Schedule

This role is eligible for Intel's hybrid work model, allowing employees to split their time between working on-site at their assigned Intel site and off-site.

Job posting details (such as work model, location, or time type) are subject to change.