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Intel

Pioneers microprocessors, CPUs for PCs

Manufacturing Systems Engineer in Wafer Packaging Manufacturing

Production Planning & SchedulingPosted on Nov 12
Full-timeAlbuquerque, NM, USAIn-person

About the Job

Requirements

  • A Bachelor's degree in Industrial Engineering, Manufacturing Engineering, Operations Research, or a related engineering discipline, with at least 2 years of relevant professional experience, or a Master's degree in one of these fields, with at least 1 year of relevant professional experience.
  • Relevant experience should include semiconductor manufacturing, foundry operations, industrial engineering, or operations research within a high-volume production environment.
  • Relevant experience should include data analytics and/or programming tools such as SQL, Python, Microsoft Excel, JMP, and/or C#.

Responsibilities

  • Support new product introduction builds and sustain manufacturing processes throughout the product lifecycle.
  • Define manufacturing requirements, evaluate manufacturing technologies, and develop manufacturing and supply chain plans to support production goals.
  • Analyze and improve existing manufacturing processes, identify opportunities for optimization, and correct process deviations.
  • Inspect and assess machinery, equipment, and tooling performance, and initiate corrective actions for identified issues.
  • Analyze key factory metrics and drive initiatives that improve operational performance, capacity, and factory health.
  • Develop and implement manufacturing decision-support tools, methodologies, and operational standards.
  • Analyze data to identify system enhancements and optimization opportunities, and drive implementation roadmaps.
  • Develop, enhance, and troubleshoot factory reporting systems to provide actionable operational insights.
  • Partner with automation teams to create business systems and processes that monitor and improve factory performance.
  • Collaborate with factory operations management, engineering, automation teams, and supply chain partners to align manufacturing strategies with operational goals.
  • Support Manufacturing Operations Managers and their teams in achieving output and performance objectives.
  • Work cross-functionally to resolve issues affecting factory operations, capacity, productivity, and manufacturing effectiveness.
  • Provide guidance to product, module, and supply chain engineering teams throughout equipment selection, design, qualification, and implementation.
  • Develop and maintain manufacturing documentation supporting product design, configuration, process requirements, and build execution.
  • Define and drive requirements for automation station controllers and manufacturing systems supporting key product roadmaps.
  • Own and manage factory support equipment, including command center workstations, factory laptops, small form factor manufacturing devices and compute elements such as Intel NUCs, and associated factory support equipment and infrastructure.

Desired Qualifications

  • Knowledge of operations research principles including factory physics and optimization techniques such as linear programming, mixed-integer programming, or constraint-based modeling, with demonstrated ability to apply them to complex manufacturing challenges.
  • Experience working cross-functionally with operations, Industrial Engineering, production planning, and supply chain stakeholders in a high-volume manufacturing setting.
  • Ability to solve complex multi-product optimization problems, analyze factory data, identify root causes using model-based problem solving, and drive corrective actions that improve output, cycle time, and operational efficiency in a manufacturing environment.
  • At least 5 years of experience in semiconductor foundry operations, high-volume fab manufacturing, industrial engineering, or operations research applied to wafer fabrication, advanced packaging, or production engineering environments.
  • Knowledge of Factory Physics principles and manufacturing science fundamentals, including variability management, Little's Law, work-in-process optimization, and capacity modeling, and a track record of applying these concepts hands-on to improve cycle time, output, and factory utilization in a high-volume semiconductor or foundry environment.
  • Expertise in optimization and simulation techniques, including developing and validating linear optimization models, mixed-integer programming, and discrete-event simulation tools for production scheduling, capacity planning, and factory flow optimization.
  • Experience with advanced data extraction, analysis, and programming tools such as Python, SQL, C#, or C++, and the ability to develop and maintain decision-support applications, factory dashboards, and automated reporting systems that provide real-time visibility into factory health and performance metrics.
  • Ability to translate complex manufacturing and optimization challenges into clear operational actions, manage customer-facing delivery commitments, and influence cross-functional teams including Finance, Industrial Engineering, Global Supply Management, Process Engineering, and Automation at all levels of the organization.

About the Company

Intel

Pioneers microprocessors, CPUs for PCs

Intel designs and manufactures semiconductor chips, with a focus on microprocessors for personal computers, servers, and other devices. Its core product is the CPU on a single silicon chip, which executes instructions, handles arithmetic and logic operations, and coordinates the work of other computer components. Intel originated in memory chips but shifted decisively to microprocessors in the 1980s, becoming a central supplier for the PC era after the IBM partnership and its famous x86 processor line. This shift, large-scale manufacturing, and close ties with computer makers set Intel apart from competitors who remained focused on memory or other components. The company aims to power computing by delivering high-performance, energy-efficient silicon solutions that drive a wide range of computing devices and applications.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1999

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