Ocotillo Technology Fabrication Production Manufacturing Engineer

The Production Engineer is a key individual contributor responsible for driving factory performance while owning strategic capacity planning in advanced semiconductor manufacturing. The role partners closely with module engineering, operations, planning, and factory leadership to improve cycle time, WIP velocity, output, tool availability, capacity roadmaps and quality performance to ensure factory metrics are accurate, data‑driven and aligned to business needs. The ideal candidate brings a strong understanding of high‑volume manufacturing, including factory flow, queue management, constraint identification and continuous improvement methodologies. This role requires influencing across organizational boundaries and working effectively with stakeholders ranging from Factory Managers to Manufacturing Technicians. The Production Engineer will own performance improvement initiatives within their scope and drive actions to resolve chronic factory limiters that impact line performance, output attainment and manufacturing efficiency. Responsibilities Drive cycle time, quality, and output performance across an assigned segment of the semiconductor manufacturing flow. Lead cross‑functional efforts with operations, module engineering, and factory support teams to remove barriers to WIP movement and improve overall factory execution. Monitor and improve Critical Queue Time (CQT) compliance to protect product quality and reduce risk to downstream process performance. Identify and eliminate non‑value‑added (NVA) activities, hidden queue time, and process inefficiencies that degrade cycle time performance. Develop and execute structured roadmaps to address chronic cycle time limiters, bottlenecks, and capacity gaps within the production flow. Partner with module and operations teams to ensure recovery plans are in place for cycle time misses, queue time excursions, and output shortfalls. Analyze factory performance using manufacturing reporting systems, line monitors, and operational metrics to identify trends, flow disruptions, and constraint areas. Drive improvements in tool availability, factory velocity, and throughput by coordinating actions across equipment, process, and production teams. Apply lean manufacturing, model‑based problem solving, and structured continuous improvement methods to solve complex factory issues and improve line performance. Facilitate high‑quality meetings, action reviews, and performance discussions with clear prioritization, accountability, and follow‑through. Represent assigned production areas in factory‑wide forums, ensuring alignment on priorities, escalations, and execution plans. Coach partner teams on best practices in flow optimization, queue management, productivity, and operational discipline. Apply knowledge of factory physics, WIP behavior, line balancing, and supply‑demand interactions to improve manufacturing outcomes in a fast‑paced, high‑cadence fab environment. Own and maintain Strategic Capacity Roadmaps, ensuring accuracy, consistency, and traceability of all capacity metrics across all OTF technologies. Validate and recalculate key capacity metrics (RR, EFL, PC, RW, Sampling) at minimum quarterly cadence; perform ad‑hoc reviews for limiter or focus tools. Update tool counts weekly aligned to MRCL needs and current planning cycles; ensure accuracy across FCS and EMS. Maintain alignment between capacity roadmaps and productivity or capacity‑impacting projects and timely into ROADS to ensure roadmap reflects current execution plans. Support strategic and ad‑hoc capacity reviews (i.e. MRC / TF) with clear, data‑supported analysis. Minimum Qualifications Bachelor’s degree in engineering, supply chain, or related STEM field. 3+ years of relevant experience in one or more of the following: Semiconductor, high‑volume manufacturing, or factory operations environment. Factory systems, production control, inventory management, or manufacturing execution/reporting systems. Experience in data analysis (JMP, SPC, MATLAB, Mathematica), design‑of‑experiment (DOE) principles, semiconductor processes (Thin Films, Diffusion, Planar, Implant, Litho, Etch, and/or Metrology). Preferred Qualifications Strong ownership mindset: Accountable for data accuracy and roadmap integrity. Analytical and data‑driven: Comfortable defending decisions with supporting data. Structured and disciplined: Able to manage multiple cadences and ad‑hoc requests. Collaborative: Works effectively across segment/engineering teams, integration, and facilities/system owners. Adaptable: Performs effectively in transitionary environments and evolving toolsets. Clear communicator: Able to translate complex capacity data and apply it into actionable manufacturing science insights. 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. #J-18808-Ljbffr Intel