Senior AI – Data Science Engineer

Intel Corporation

Senior AI / Data Science Engineer at Intel leading AI-driven semiconductor manufacturing transformations. Collaborating with engineering teams on complex analytics and driving innovation.

Posted 7/31/2026full-timePhoenix • Arizona, Oregon • 🇺🇸 United StatesSenior💰 $136,900 - $269,150 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

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 DevelopmentMachine Learning ExpertiseYield AnalysisPython ProgrammingData Pipeline Development

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Artificial IntelligenceMachine LearningData ScienceAdvanced AnalyticsStatistical Process ControlRoot-Cause AnalysisProcess Engineering AnalyticsLarge Language Model ApplicationsData AnalysisData Visualization

Soft Skills

MentoringCollaborationLeadershipInfluencingCommunication

Tools & Technologies

SQLData Analytics FrameworksAI InfrastructureData PipelinesManufacturing Analytics

Industry Keywords

Semiconductor ManufacturingYield ChallengesProcess IntegrationTechnology DevelopmentData-Driven Solutions

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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.

Benefits

Comp & perks

competitive pay
stock bonuses
health
retirement
vacation