Industrial Engineer - Foundry Quality and Reliability Labs

Reposted 4 Days Ago
Be an Early Applicant
2 Locations
In-Office
104K-199K Annually
Senior level
Artificial Intelligence • Cloud • Information Technology • Software
Creating world-changing technology that enriches the lives of every person on earth.
The Role
Optimize foundry quality and reliability lab operations via demand and capacity planning, capacity modeling, KPI framework design, automated dashboards (Power BI/Python/SQL), QMS support (ISO 9001/ISO/IEC 17025), equipment metrics, and cross-functional workflow and layout improvements to increase throughput, utilization, yield, and cost efficiency.
Summary Generated by Built In
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.

Qualifications:

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
 

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
• Working knowledge of and experience operating within ISO 9001 / 172025 Quality Management System requirements including document control, internal auditing, and management review processes
We invite you to contribute your expertise and drive meaningful change by joining Intel's dynamic team. Your skills and innovative thinking will be instrumental in delivering cutting-edge solutions that shape the future of technology.

          

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 TrustN/ABenefits

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: $103,730.00-198,820.00 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.

Work Model for this Role

This role will require an on-site presence. * 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.

Skills Required

  • Bachelor's degree in Industrial Engineering, Manufacturing Engineering, or related field with 6+ years experience OR Master's with 5+ years experience
  • Proficiency in capacity planning and factory operational planning
  • Experience with lean manufacturing principles and practices
  • Experience with at least one tool: Python, SQL, SQL PF, HTML, Power BI (including writing queries and building interactive dashboards)
  • Expertise in data analysis and modeling tools for manufacturing or lab operations optimization
  • Proven project management ability to deliver results within deadlines
  • Strong communication and collaboration skills to engage 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, configuration, maintenance, and data extraction
  • Working knowledge of ISO 9001 and ISO/IEC 17025 Quality Management System requirements (document control, internal auditing, management review)

Intel Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Intel and has not been reviewed or approved by Intel.

  • Leave & Time Off Breadth Sabbaticals and paid time off are highlighted as signature elements, with an established program offering four weeks after four years or eight weeks after seven years. This distinctive time off is positioned as a meaningful part of the overall package.
  • Parental & Family Support Paid bonding leave of 12 weeks and a New Parent Reintegration program, plus fertility benefits around $40,000 and up to $15,000 adoption reimbursement with no lifetime cap, are clearly stated. These programs are presented as standout components alongside broader family support resources.
  • Healthcare Strength Multiple medical plan options with 2026 updates, a shift to Spring Health for EAP, and in‑network virtual medical visits covered at 100% beginning in 2026 indicate a comprehensive offering. These features signal an emphasis on robust medical access and mental health support.

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The Company
HQ: Santa Clara, CA
75,000 Employees
Year Founded: 1968

What We Do

Our mission is to shape the future of technology to help create a better future for the entire world, that’s the power of Intel Inside. With more ingenuity and creativity inside, our work is at the heart of countless innovations. From major breakthroughs to things that make everyday life better— they’re all powered by Intel technology. With a career at Intel, you can help make the future more wonderful for everyone.

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