Senior AI / Data Science Engineer

Intel Corporation; Phoenix (AZ); On-site; USD 150,000 - 210,000; Full time

Job summary

Intel Corporation’s MDCE Data Science group seeks a Senior AI/Data Science Engineer to lead AI/ML and Generative AI initiatives in semiconductor manufacturing. You will drive deployment, scale, and adoption across engineering teams to boost yield learning and productivity.

The role requires a strong background in data analytics, AI methodologies, and software engineering, with collaboration across Yield, Process, and TechnologyDevelopment teams to achieve measurable impact.

Qualifications

• Bachelor's degree in a STEM field as listed.
• 6+ years in Data Science/ML/AI/Analytics.
• Experience in yield analysis or process analytics is a plus.

Responsibilities

• Lead AI/ML/Generative AI solutions for semiconductor manufacturing and yield challenges.
• Drive adoption of AI technologies across MDCE and partner teams.
• Develop and deploy LLM-based applications to improve productivity and knowledge discovery.
• Analyze large manufacturing datasets to identify detractors and optimization opportunities.
• Design scalable data pipelines and AI infrastructure for manufacturing analytics.
• Collaborate with Yield Engineering, Process Integration, Manufacturing and TD teams.

Skills

Team collaboration

Communication skills

Data science

AI/ML

Education

Bachelor's degree in CS/Data Science/EE/Industrial Eng/Stats/Math

Job description

Job Details: Job Description: 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.

Key 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.

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 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