Industrial Engineer – Foundry Quality and Reliability Labs

Intel Corporation

Industrial Engineer optimizing Intel Foundry quality and reliability lab capacity, KPIs, and workflows. Improving testing and failure-analysis operations through Python, SQL, Power BI, and manufacturing systems.

Posted 9/4/2026full-timeHillsboro • Arizona, Oregon • 🇺🇸 United StatesMid-LevelSenior💰 $120,860 - $170,630 per yearWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in optimizing factory operations and workflow efficiency through data analysis, capacity planning, and KPI development. Proficient in utilizing Python, SQL, and Power BI for reporting and operational visibility while ensuring compliance with ISO 9001 and ISO/IEC 17025 standards.

Highest-signal resume keywords

Capacity PlanningKPI DevelopmentPython ProgrammingSQL ProficiencyISO 9001 Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisOperational OptimizationLean Manufacturing PrinciplesProject ManagementUtilization AnalysisStandard Work DevelopmentTime StudiesEquipment Management SystemsFacility DesignWorkflow Optimization

Soft Skills

Strong CommunicationCollaboration Skills

Tools & Technologies

Power BIMESWorkstreamIT Platforms

Industry Keywords

Quality Management SystemISO/IEC 17025Manufacturing OperationsFactory LayoutFlexible Manufacturing Solutions

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Optimize factory operations, workflow efficiency, and productivity for lab testing and failure analysis services.
Develop, maintain, and optimize end-to-end Demand and Capacity Plans for Quality and Reliability Lab operations.
Build and manage capacity models using time studies, standard work, and utilization analysis.
Design, develop, pilot, and implement a KPI framework covering throughput time, utilization, quality yield, cost per test, and equipment effectiveness.
Build automated KPI dashboards and reporting pipelines using Power BI, Python, and SQL.
Integrate KPI data streams from MES, Workstream, and IT platforms to create unified operational visibility.
Support the design, implementation, and continuous improvement of QMS processes in compliance with ISO 9001 and ISO/IEC 17025.
Collaborate with stakeholders on equipment purchases, layout changes, and workflow improvements.
Use data analysis and complex modeling to enhance lab output and optimize process flows.
Define and manage tool metrics, monitor tool performance, and drive productivity improvements.

Requirements

What you’ll need

Bachelor's degree in Industrial Engineering, Manufacturing Engineering, or a related field with 4+ years of hands-on experience in industrial engineering or manufacturing operations OR a Master's degree in Industrial Engineering or related field with 3+ years of hands-on experience OR a PhD with no prior professional experience.
Proficiency in capacity planning, factory operational planning, and lean manufacturing principles.
Experience with Python, SQL, and Power BI for data extraction, transformation, aggregation, and reporting.
Expertise in data analysis and modeling tools for manufacturing or operational optimization.
Demonstrated ability to manage projects effectively and deliver results within deadlines.
Strong communication and collaboration skills to engage with cross-functional teams and stakeholders.
Experience with facility and equipment design for flexible manufacturing solutions.
Familiarity with tools, processes, and metrics related to factory layout and workflow optimization.
Hands-on experience with Equipment Management Systems (EMS) for asset tracking and data extraction.
Working knowledge of ISO 9001 and ISO/IEC 17025 Quality Management System requirements.

Benefits

Comp & perks

Competitive pay
Stock bonuses
Health benefits
Retirement benefits
Vacation benefits