Summary written by USA Jobs 24 from Intel's advert and our data on 16,857 current US jobs. How we check every job
At a glance
Intel is hiring a Manufacturing Systems Engineer in Wafer Packaging Manufacturing in New Mexico. It is a full-time role in Hardware & Semiconductors, asking for at least 2 years of experience, first listed on November 13. The advertised pay is $89,010–$170,630 a year. The description mentions SQL, Python, Excel, C# and C++. Intel has 99 other openings in the US. Across all employers on USA Jobs 24 there are 347 Hardware & Chips openings in the US today; the typical one asks for 5 years and advertises about $190,000 a year at the midpoint.
How the pay compares
Intel advertises $89,010 to $170,630 a year, a midpoint of $129,820 a year. Where an offer lands in a range usually depends on experience and on the exact location. That is lower than about 92% of the 12 hardware & chips jobs in New Mexico that publish a yearly rate on USA Jobs 24, where the typical midpoint is $176,000 a year. To see roughly what this leaves after federal and New Mexico tax, try our take-home pay calculator.
Skills in this advert
How often each skill named in this advert appears across the 347 hardware & chips jobs we list today. Python is the most widely requested (39% of jobs), while C# is the least common (1%). Widely requested skills are what employers expect as a baseline; rarer ones show what is special about this job.
Paste your resume and this advert into our resume match tool to see which of these words your resume already covers.
Before you apply
- Check it is still open. We found this job on Intel's Workday site on November 13 and checked it again November 13, 5:17 AM ET. When an employer takes a job down, we remove it at our next daily update.
- Check the location works for you. This role is based in New Mexico. If you would need to move, ask whether relocation help is offered.
- Match the experience. The advert asks for at least 2 years of experience. If you are a little short, a close match on the skills in the advert can still win an interview.
- Tailor your resume. Use the advert's own words, such as SQL, Python and Excel, wherever they are true for you. Our resume guide shows how.
- Know your number. Decide the lowest offer you would accept before the first call. Our salary negotiation guide explains how to ask for more.
- Apply only through Intel's own site. Our Apply button goes straight to Intel's Workday page. If anyone contacts you about this job and asks for money, gift cards or bank details, stop and check it with our scam checker. Read how to spot a fake job offer.
About hiring at Intel
Intel has 100 openings on USA Jobs 24 today across 8 states. Most are in software & IT (37), hardware & chips (29) and engineering & mfg (8). The biggest locations are Phoenix, AZ (29), Santa Clara, CA (29) and Austin, TX (11). 1% of them are remote, 27% are open to entry-level candidates and 100% show pay. We collect Intel's jobs every day straight from its own careers system (Workday), never from job boards or agencies.
The employer's advert
This is Intel's own description of the job, copied word for word from its careers site. We have not edited it.
Show the full advert from IntelHide the advert1,082 words
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 HireShift:
Shift 1 (United States of America)Primary Location:
US, New Mexico, AlbuquerqueAdditional 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/ABenefits
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 USDThe 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.USA Jobs 24 copied this listing from Intel's official careers site on November 13, 2026 and checked it again November 13, 5:17 AM ET. Intel will never ask you to pay to apply or to buy equipment with a check they send you. If anyone does, it is a scam.
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