Industrial Engineer - Foundry Quality and Reliability Labs

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

Qualifications

• Minimum Qualifications: Bachelor's degree in industrial engineering, Manufacturing Engineering, or a related field with 6+ years of hands-on experience in industrial engineering or manufacturing operations OR a master's degree in industrial engineering or related field with 5+ years of hands-on experience
• To Be Considered: Proficiency in capacity planning and factory operational planning; Experience with lean manufacturing principles and practices; Experience with at least one of these tools: Python, SQL / SQL PF, HTML, Power BI; Proficient in writing queries for data extraction, transformation, aggregation, and reporting from relational databases; Building interactive operational dashboards; Expertise in data analysis and modeling tools for manufacturing or lab operations optimization; Proven 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
• Demonstrated ability to lead initiatives that drive efficiency and innovation
• Experience with facility and equipment design to support 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
• Ability to configure, maintain, and extract data from EMS platforms

Benefits

Intel offers 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.