The Production Engineer is responsible for defining, developing, implementing, and continuously improving factory operational strategies, standards, business processes, and systems that enable consistent, high-velocity output in a low-volume, high-product-mix semiconductor manufacturing environment. This role drives factory operational excellence through the application of manufacturing science, factory physics, and data-driven decision-making to optimize Work-in-Process (WIP), cycle time, output, and overall manufacturing performance.
As a key strategic partner to Captain of Ship (COS) and Remote Operations Center (ROC) Group Leaders, the Production Engineer helps develop and execute operational strategies that support both technology development and high-volume manufacturing objectives. This individual identifies systemic constraints, evaluates alternative operating models, and develops scalable solutions that improve factory agility, efficiency, and business performance.
Key Responsibilities
Responsibilities include, but are not limited to:
- Develop and deploy factory-wide operational strategies, standards, business processes, and systems that improve output, cycle time, WIP health, and manufacturing velocity.
- Serve as a key integrator across Production, Planning, Automation, Process Engineering, Integration, Industrial Engineering (IE), and other factory organizations to drive alignment and execution.
- Identify and address systemic manufacturing constraints through the application of factory physics, Theory of Constraints, Lean principles, and structured problem-solving methodologies.
- Lead complex cross-functional initiatives that improve factory performance, operational efficiency, resource utilization, and manufacturing capability.
- Own the strategic roadmap, governance, and continuous improvement of critical operational business systems, ensuring alignment with site and Virtual Factory (VF) objectives.
- Develop and implement data-driven solutions, reporting frameworks, and decision-support tools that enhance operational visibility and enable proactive factory management.
- Drive adoption of Best Known Methods (BKMs), operational standards, and continuous improvement initiatives across the factory and Virtual Factory network.
- Represent F11X Production in Virtual Factory councils, improvement teams, and strategic forums, influencing the development and implementation of network-wide operational capabilities.
- Influence operational priorities and business decisions through data-driven recommendations and effective stakeholder engagement.
- Provide technical leadership and mentorship to engineers and factory stakeholders, strengthening organizational capability and operational excellence.
- Lead complex problem-solving efforts involving multiple organizations, competing priorities, and significant business impact.
Desired Skills and Behavioral Traits
The ideal candidate will demonstrate:
- Deep expertise in manufacturing science, factory physics, operational excellence methodologies, and production flow management.
- Proven ability to lead through influence and drive alignment across organizations without direct reporting authority.
- Strong strategic thinking skills with the ability to translate business objectives into executable operational plans.
- Demonstrated success solving complex and ambiguous operational challenges through structured problem-solving methodologies.
- Strong knowledge of Quality Management Systems (QMS), Model-Based Problem Solving (MBPS), Lean Manufacturing principles, and continuous improvement practices.
- Advanced analytical skills with the ability to identify trends, risks, opportunities, and systemic constraints through data analysis.
- Excellent verbal, written, and presentation skills, including the ability to communicate complex technical concepts to diverse audiences and leadership teams.
- Strong stakeholder management, collaboration, negotiation, and influencing skills in a dynamic manufacturing environment.
- A proven track record of leading transformational improvements and delivering measurable business impact across organizations and shifts.
- The ability to quickly learn, integrate, and optimize complex manufacturing technologies and business systems.
Minimum Qualifications:
- Bachelor's degree in Engineering, Manufacturing Engineering, Industrial Engineering, Operations Management, or a related technical field AND
- 5+ years of semiconductor manufacturing experience.
OR
- Master's degree in Engineering, Manufacturing Engineering, Industrial Engineering, Operations Management, or a related technical field AND
- 3+ years of experience in semiconductor manufacturing, engineering, industrial engineering, production operations, or a related technical discipline.
AND
- Experience with semiconductor process flow technology, WIP management, production control systems, capacity planning, and Theory of Constraints methodologies
Preferred Qualifications
- Experience leading cross-functional initiatives that resulted in measurable operational or business improvements.
- Experience applying manufacturing science, factory physics, Lean principles, and structured problem-solving methodologies in a production environment.
- Experience utilizing manufacturing data, metrics, and analytics to drive operational decisions and business outcomes.
- Experience leading factory-level operational improvement programs and large-scale business process transformations.
- Experience developing and implementing operational business systems, manufacturing KPIs, and decision-support tools.
- Experience influencing strategic manufacturing decisions across organizations or sites.
- Experience mentoring engineers and providing technical leadership in a manufacturing environment.
Experience working within Virtual Factory (VF) organizations and driving implementation of network-wide manufacturing capabilities and Best Known Methods (BKMs).
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Experienced Hire
Shift 1 (United States of America)
US, New Mexico, Albuquerque
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.
N/A
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: $103,730.00-146,440.00 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.
