Senior AI / Data Science Engineer

Intel Corporation•Hillsboro, OR

1d•$136,900 - $269,150•Hybrid

About The Position

Join Intel and build a better tomorrow. Manufacturing Development Customer Engineering (MDCE) is Intel's newest organization within Intel Foundry Technology Manufacturing (FTM). We bridge the critical 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. MDCE partners across engineering organizations to transform manufacturing insights into scalable production solutions that enable Intel's foundry strategy and future growth. As a Senior AI / Data Science Engineer in the MDCE Data Science organization, you will play a critical role in shaping the future of AI-driven semiconductor manufacturing. You will lead the development, deployment, and adoption of advanced Artificial Intelligence (AI), Machine Learning (ML), and Generative AI technologies that accelerate yield learning, improve process optimization, and increase engineering productivity across Intel Foundry. The successful candidate will combine deep expertise in semiconductor manufacturing analytics, AI/ML methodologies, and software engineering with the ability to influence cross-functional stakeholders and drive innovation at scale.

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.
Ability to collaborate effectively within a team setting.
Excellent Communication Skills.

Nice To Haves

Post graduate degree in Computer Science, Data Science, Electrical Engineering, Industrial Engineering, Statistics, Applied Mathematics, or in 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

Responsibilities

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.