Industrial Engineer, Foundry Quality & Reliability Labs

Intel; Phoenix (AZ); On-site; USD 103,730 - 198,820; Full time

Benefits offered by this job

Stock bonuses

Competitive pay

Health benefits

Job summary

Intel in the United States (Phoenix area) seeks an experienced Industrial Engineer to optimize lab operations within the Foundry Quality and Reliability Labs, driving Demand and Capacity planning and KPI development.

You will develop capacity models, implement KPI dashboards with Power BI, Python and SQL, and collaborate across functions to improve throughput, reliability and cost per test in a dynamic lab environment.

Qualifications

• Bachelor's degree in industrial engineering or related field with 6+ years hands-on experience, or a master's degree with 5+ years.
• Experience with capacity planning and factory operational planning.
• Proficiency in Python, SQL, Power BI; data extraction, transformation and reporting.
• Experience with EMS/asset tracking and data-driven workflow optimization.
• Knowledge of ISO 9001 / ISO/IEC 17025 is a plus.

Responsibilities

• Develop, maintain, and optimize end-to-end Demand and Capacity Plans for Quality and Reliability Lab operations.
• Build capacity models using IE methodologies to identify bottlenecks and optimization opportunities.
• Design, pilot and implement a KPI framework for lab operations (TPT, utilization, quality yield, cost per test, tool effectiveness).
• Build automated KPI dashboards and reporting pipelines using Power BI, Python, and SQL; integrate data streams from MES, Workstream, and IT platforms.
• Support QMS processes compliant with ISO 9001 and ISO/IEC 17025; collaborate on equipment purchases, layout changes, and workflow improvements.

Skills

Capacity planning

Lean manufacturing

Python

SQL

Power BI

Data analysis

Communication

Education

Bachelor's in Industrial Engineering

Master's in Industrial Engineering

Tools

EMS platform

MES data integration

Job description

Intel in the United States (Phoenix area) seeks an experienced Industrial Engineer to optimize lab operations within the Foundry Quality and Reliability Labs, driving Demand and Capacity planning and KPI development.

You will develop capacity models, implement KPI dashboards with Power BI, Python and SQL, and collaborate across functions to improve throughput, reliability and cost per test in a dynamic lab environment.