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Manufacturing Systems Engineer in Wafer Packaging Manufacturing

Intel · US, New Mexico, Albuquerque

Spotted 18h agoFull-time

Job details

Work mode
On-site
Employment
Full-time
Level
Entry level
Experience
1+ year
Education
Bachelor's degree
Posted
Nov 12, 2026
Last confirmed open
Nov 13, 2026
Job function
Software/Internet/AI › System Reliability & Security › Systems Engineer

What you'll need to apply

Fields this application requires

NameEmailPhoneCountryResumeVisa sponsorship answerWork authorization answer

Company-specific questions

  • 1) * As of today's date, are you 18 years of age or older?
  • 2) * Are you a current or former employee of Ernst & Young?
  • 3) * Are you an immediate family member (parent, child, sibling, spouse/partner) of a partner at Ernst & Young who is based out of the San Jose, California office?
  • 4) * To the best of your knowledge and belief, are you aware of a contract or agreement with your current employer (or other company), such as a non-competition, non-disclosure, or non-solicitation agreement, that impact or interfere with your ability to work for the Company or communicate with former colleagues about working at the Company
  • 5) * Do you own, control, or have an economic interest in any intellectual property rights (patents, trademarks, or copyrights)?
  • 6) * If hired, do you intend to (select all that apply):
  • 7) * Are you a current employee of the US Department of Defense (DOD) or were you an employee of the US Department of Defense (DOD) on or after January 28, 2008?
  • 8) * Are you a current Federal, State or Local Government employee; including military (other than the DOD) or have you at any time in the past 5 years been an employee of one of these entities?
  • 11) * Do you now, or in the future, require Intel to sponsor you for a visa to work in the United States? NOTE: Individuals with work authorization issued pursuant to their student visa ( e.g., F-1, J-1, M-1 ) or currently on work visas specific to their current employer ( e.g., H-1B, O-1, TN, H-1B1, E-3 ), should answer “Yes” because Intel must file a visa petition on your behalf now or in the future. Intel immigration sponsorship refers to Intel filing employment-based visa and permanent resident applications on behalf of the employee in order for the individual to have the legal right to work in the U.S. Individuals with work authorization not dependent on Intel sponsorship should respond “No”, e.g., Family based immigration, DACA, TPS, PIP, & Asylum Applicant.
Job description

About this role

Job Details

Job Description:

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.

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

Additional Locations:

Posting Statement:

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.

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.

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