Industrial Engineer - Foundry Quality and Reliability Labs

Intel Corporation; Hillsboro (OR); On-site; USD 121,000 - 171,000; Full time

Job summary

Intel Corporation in Hillsboro, Oregon, is seeking an Industrial Engineer to optimize factory operations, develop demand and capacity plans for Quality and Reliability Lab operations, and drive continuous improvement through KPI development and automation.

The role requires strong IE fundamentals, experience with Python, SQL, and Power BI, and the ability to translate data into actionable improvements across lab processes while ensuring ISO compliance.

Qualifications

• 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.

Responsibilities

• Develop, maintain, and optimize end-to-end Demand and Capacity Plans for Quality and Reliability Lab operations, including failure analysis, material analysis and reliability validation workflows.
• Build and manage capacity models using industrial engineering methodologies (time studies, standard work, utilization analysis) to identify bottlenecks, over/under-capacity conditions, and optimization opportunities.
• Design, develop, pilot and implement a comprehensive KPI framework for Quality and Reliability Lab operations encompassing throughput time (TPT), utilization, quality yield, cost per test, and equipment effectiveness.
• Build automated KPI dashboards and reporting pipelines using Power BI, Python, and SQL to provide real-time and trend-based visibility into lab performance for all stakeholder levels. Integrate KPI data streams from MES, Workstream, and IT platforms to create unified operational visibility and eliminate manual reporting redundancies.
• Collaborate with cross-functional stakeholders to plan equipment purchases, layout changes, and workflow improvements. Utilize data analysis and complex modeling techniques to enhance lab output and optimize process flows. Define and manage tool metrics, monitor tool performance, and drive productivity improvements.

Skills

Capacity planning

Lean manufacturing

Data analysis

Project management

Communication

Cross-functional collaboration

Python

SQL

Power BI

Education

Bachelor's degree in Industrial Engineering, Manufacturing Engineering, or a related field

Tools

Python

SQL

Power BI

Job description

Job Details: Job Description: The Role and Impact As labs Industrial Engineer, you will play a crucial role in optimizing factory operations, improving workflow efficiency, and driving productivity to meet customer demands for lab testing and failure analysis services This role supports Demand and Capacity Planning for lab operations while driving continuous operational improvement through the development and management of key performance indicators, and automation systems. The ideal candidate combines strong industrial engineering fundamentals with advanced data scripting capabilities and lab/manufacturing systems expertise to deliver data-informed decisions, streamlined workflows, and measurable performance gains across a dynamic foundry lab ecosystem.

Business group

This role is part of Intel's Foundry Quality and Reliability Labs organization, a team dedicated to ensuring Intel's global lab capabilities meet the evolving needs of customers and the business. The group focuses on operational excellence, efficiency, and innovation in lab processes, supporting Intel's foundry mission to deliver world-class technology solutions.

Key Responsibilities

• Develop, maintain, and optimize end-to-end Demand and Capacity Plans for Quality and Reliability Lab operations, including failure analysis, material analysis and reliability validation workflows
• Build and manage capacity models using industrial engineering methodologies (time studies, standard work, utilization analysis) to identify bottlenecks, over/under-capacity conditions, and optimization opportunities
• Design, develop, pilot and implement a comprehensive Key Performance Indicator (KPI) framework for Quality and Reliability Lab operations encompassing throughput time (TPT), utilization, quality yield, cost per test, and equipment effectiveness
• Build automated KPI dashboards and reporting pipelines using Power BI, Python, and SQL to provide real-time and trend-based visibility into lab performance for all stakeholder levels. Integrate KPI data streams from MES, Workstream, and IT platforms to create unified operational visibility and eliminate manual reporting redundancies. Support the design, implementation, and continuous improvement of Quality Management System (QMS) processes within the Reliability and Quality Labs in full compliance with ISO 9001 and ISO/IEC 17025 standards. Collaborate with cross‑functional stakeholders to plan equipment purchases, layout changes, and workflow improvements. Utilize data analysis and complex modeling techniques to enhance lab output and optimize process flows. Define and manage tool metrics, monitor tool performance, and drive productivity improvements.

Minimum Qualifications

• 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.

Preferred Qualifications

• 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.

Job Type: Experienced Hire

Shift: Shift 1 (United States of America)

Primary Location: US, Oregon, Hillsboro

Additional Locations: US, Arizona, Phoenix

Posting Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust

N/A

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. Find out more about the benefits of working at Intel. Annual Salary Range for jobs which could be performed in the US: $120,860.00-170,630.00 USD The range displayed on this job posting 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. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.

This role will require an on‑site presence.

Work Model for this Role

• Job posting details (such as work model, location or time type) are subject to change.
• ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter. Intel’s official careers website. Find your next job and take on projects that shape tomorrow’s technology.