Manufacturing Systems Engineer in Wafer Packaging Manufacturing

About the role

This role requires regular onsite presence to support the successful development, ramp, and ongoing operation of a high-volume manufacturing or technology development fabrication facility. The position provides both tactical and strategic operational support, leveraging technical expertise to enable new product introductions (NPI), optimize factory performance, and sustain manufacturing operations.

Key Responsibilities

Manufacturing Operations & Process Improvement

• Support new product introduction (NPI) 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, identifying opportunities for optimization and correcting process deviations.
• Inspect and assess machinery, equipment, and tooling performance, initiating corrective actions for identified issues.
• Analyze key factory metrics and drive initiatives that improve overall operational performance, capacity, and factory health.

Data Analytics & Decision Support

• 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.

Stakeholder Collaboration & Operational Support

• 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 overall manufacturing effectiveness.
• Provide guidance to product, module, and supply chain engineering teams throughout equipment selection, design, qualification, and implementation.

Manufacturing Systems & Documentation

• 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 (e.g., Intel NUCs)
• Associated factory support equipment and infrastructure

Impact

This role serves as a critical link between manufacturing operations, engineering, automation, and supply chain organizations, ensuring efficient factory execution, continuous improvement, and scalable manufacturing solutions that support current and future product roadmaps.

Qualifications

Minimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.

Minimum Qualifications

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.

Experience listed above should be a combination of the following

• Experience in semiconductor manufacturing, foundry operations, industrial engineering, or operations research within a high-volume production environment.
• Data analytics and/or programming tools including SQL, Python, Microsoft Excel, JMP, and/or C#.

This position is not eligible for Intel Immigration sponsorship.

Preferred Qualifications

• Knowledge of operations research principles including factory physics and optimization techniques such as linear programming, mixed-integer programming, or constraint-based modeling, with a demonstrated ability to apply these concepts to solve complex manufacturing challenges.
• Experience working cross-functionally with operations, Industrial Engineering, production planning, and supply chain stakeholders in a high-volume manufacturing setting.
• Demonstrated 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.
• 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.
• Demonstrated knowledge of Factory Physics principles and manufacturing science fundamentals, including variability management, Little's Law, WIP optimization, and capacity modeling, with a proven track record of applying these concepts hands-on to drive measurable improvements in cycle time, output, and factory utilization in a high-volume semiconductor or foundry environment.
• Expertise in optimization and simulation techniques, including the development and validation of linear optimization models, mixed-integer programming, and discrete-event simulation tools applied to production scheduling, capacity planning, and factory flow optimization.
• Experience with advanced data extraction, analysis, and programming tools such as Python, SQL, C#, or C++, with 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.
• Strong communication and leadership skills with the 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.

Additional information

Apply today and become an integral part of our mission to lead in semiconductor innovation while driving scalable, world-class manufacturing solutions through the power of operations research and industrial engineering excellence.

• Job Type: Experienced Hire
• Shift: Shift 1 (United States of America)
• Primary Location: US, New Mexico, Albuquerque

Posting Statement

Position of Trust

N/A

Benefits

• 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: $89,010.00-170,630.00 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.