Semiconductor Manufacturing Engineer- F11X Production

Intel Corporation•Rio Rancho, NM

4d•$103,730 - $146,440•Onsite

About The Position

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.

Requirements

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.
Experience with semiconductor process flow technology, WIP management, production control systems, capacity planning, and Theory of Constraints methodologies

Nice To Haves

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).

Responsibilities

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.