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Statistical Process Control Engineer Jobs in Arizona

INTEL

Seniconductor Process Engineer

Phoenix, AZ

$127K - $179K/yr

As a Packaging Module Development Engineer, you will: • Contribute to the advancement of ... Statistical Process Control (SPC) and/or Design of Experiments (DOE) • Delivery of results for ...

Medtronic

Process Engineer II

Tempe, AZ · On-site

Develops manufacturing processes that are applicable to statistical process control and may develop ... Provides technical and sustaining engineering support in a manufacturing area. Troubleshoots and ...

Medtronic

Process Engineer II

Tempe, AZ · On-site

Develops manufacturing processes that are applicable to statistical process control and may develop ... Provides technical and sustaining engineering support in a manufacturing area. Troubleshoots and ...

Rain Bird Corporation

Sr. Quality Engineer

Tucson, AZ · On-site

$83K - $113K/yr

Manages all line inspections and Statistical Process Control activities. * Provide quality engineering expertise to assure compliance to specifications. * Leads activities to analyze quality ...

Rain Bird Corporation

Sr. Quality Engineer

Tucson, AZ · On-site

$83K - $113K/yr

Manages all line inspections and Statistical Process Control activities. * Provide quality engineering expertise to assure compliance to specifications. * Leads activities to analyze quality ...

Rain Bird Corporation

Sr. Quality Engineer

Tucson, AZ · On-site

$83K - $113K/yr

Manages all line inspections and Statistical Process Control activities. * Provide quality engineering expertise to assure compliance to specifications. * Leads activities to analyze quality ...

TSMC

Mask Process/Equipment Engineer

Phoenix, AZ

Applying statistics process control methods to establish and sustain a robust mask process flow. As ... Degree in an engineering and scientific field such as Physics, Material Science, Chemical ...

TSMC

Mask Process/Equipment Engineer

Phoenix, AZ · On-site

Applying statistics process control methods to establish and sustain a robust mask process flow. As ... Degree in an engineering and scientific field such as Physics, Material Science, Chemical ...

INTEL

Process Engineer - RF Test

Phoenix, AZ

$127K - $179K/yr

As a Packaging Module Development Engineer, you will: • Contribute to the advancement of ... Statistical Process Control (SPC) and/or Design of Experiments (DOE) • Delivery of results for ...

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Statistical Process Control Engineer information

What is statistical process control in engineering?

Statistical Process Control (SPC) is a method used by engineers, including those in quality and manufacturing roles, to monitor and control a process through statistical analysis of data. It involves using control charts and data collection to detect variations, ensuring processes operate consistently and within specified limits. SPC helps improve product quality and reduce defects by identifying and addressing process issues early.

What does a Statistical Process Control Engineer do?

A Statistical Process Control (SPC) Engineer is responsible for designing, implementing, and maintaining systems that monitor and control manufacturing processes using statistical methods. They analyze data to identify trends, reduce process variation, and improve product quality. SPC Engineers work closely with production teams to ensure processes remain stable, efficient, and in compliance with industry standards. Their role often involves training staff in SPC techniques and troubleshooting quality issues using data-driven approaches.

How much do statistical process control engineers make in the US?

Statistical Process Control (SPC) engineers in the US typically earn between $70,000 and $110,000 annually, with the median salary around $85,000. Salaries vary based on experience, industry, location, and certifications such as Six Sigma or quality management training.

What are the key skills and qualifications needed to thrive as a Statistical Process Control Engineer?

To thrive as a Statistical Process Control Engineer, you need a solid background in statistics, process engineering, and quality management, often supported by a degree in engineering or a related field. Familiarity with SPC software (such as Minitab or JMP), Six Sigma methodologies, and quality system certifications like ASQ are typically required. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting data and collaborating with cross-functional teams. These skills and qualifications are vital to maintain product quality, optimize processes, and drive continuous improvement within manufacturing or production environments.

What is the difference between Statistical Process Control Engineer vs Quality Engineer?

AspectStatistical Process Control EngineerQuality Engineer
Primary FocusMonitoring and controlling manufacturing processes using statistical methodsEnsuring overall product quality through testing, inspection, and process improvements
CertificationsSix Sigma, Statistical Process Control (SPC) certificationsSix Sigma, Quality Management certifications (e.g., CQE)
Work EnvironmentManufacturing plants, process development labsQuality departments, production facilities
Industry UsageManufacturing, automotive, electronicsManufacturing, healthcare, aerospace

While both roles focus on improving product quality, the Statistical Process Control Engineer specializes in using statistical tools to monitor and control manufacturing processes, whereas the Quality Engineer oversees broader quality assurance activities, including testing and compliance. Understanding these differences helps in choosing the right career path or job search focus.

How does a Statistical Process Control Engineer typically collaborate with production and quality teams to drive process improvements?

A Statistical Process Control Engineer regularly works alongside both production and quality assurance teams to identify trends, troubleshoot issues, and implement data-driven improvements. They analyze real-time data from manufacturing processes, facilitate root cause analysis sessions, and communicate findings through reports or presentations. Collaboration often includes training team members on SPC tools and methodologies, as well as guiding them in using statistical techniques to monitor and control process variability. This cross-functional teamwork ensures that process adjustments are both technically sound and operationally practical, leading to sustained quality improvements.
What are popular job titles related to Statistical Process Control Engineer jobs in Arizona? For Statistical Process Control Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Statistical Process Control Engineer jobs in Arizona look for? The top searched job categories for Statistical Process Control Engineer jobs in Arizona are:
What cities in Arizona are hiring for Statistical Process Control Engineer jobs? Cities in Arizona with the most Statistical Process Control Engineer job openings:
Statistical Process Control Engineer jobs near you
Infographic showing various Statistical Process Control Engineer job openings in Arizona as of June 2026, with employment types broken down into 66% Full Time, 32% Part Time, and 2% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.

Seniconductor Process Engineer

INTEL

Phoenix, AZ

$127K - $179K/yr

Full-time

Medical, Retirement, PTO

Posted 14 days ago

Intel rating

8.7

Company rating: 8.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

19th of 156 rated electronics manufacturers

Job description

Job Description

The Advanced Packaging Technology Manufacturing (APTM) division at Intel is responsible for the development and commercialization of industry-leading semiconductor packaging technologies for mobile, edge, and hyperscale computing platforms. Within APTM, the Assembly Technology Development (ATD) team pioneers innovative package assembly solutions and scales them for high-volume manufacturing.


As a Packaging Module Development Engineer, you will:


• Contribute to the advancement of technology and foundry capabilities by developing First Level Interconnect (FLI) to support Intel's future packaging platforms.
• Collaborate with multifunctional, cross organizational teams to optimize assembly processes for quality, reliability, cost, yield, productivity, and manufacturability.
• Drive innovation in next generation equipment, materials, and fabrication processes to scale advanced semiconductor packaging capabilities
• Lead equipment development activities, including pathfinding, new equipment definition, selection, technology development, and transition to high volume manufacturing.
• Manage projects to ensure alignment with product development schedules and execution milestones.
• Apply sound engineering principles, formal education, and professional judgment to resolve complex technical challenges.
• Provide sustaining engineering support to maintain equipment performance and process health in high volume manufacturing environments
• Respond effectively and with urgency to foundry customer requests, escalations, and manufacturing events
The ideal candidate should demonstrate:


• Technical leadership, strategic planning, and critical thinking.
• Ability to coach and develop technical teams.
• Tolerance for ambiguity and adaptability in a dynamic environment.
• Flexibility in managing changing priorities and responsibilities.
• Experience leading teams in a highly matrixed organization.
• Initiative and ability to work independently.
• Strong communication, influencing, technical, and analytical skills.
This position requires regular onsite presence.


Qualifications

You must possess the minimum education requirements and minimum required qualifications to be initially considered for this position. Relevant experience can be obtained through schoolwork, classes, project work, internships, and/or military experience. Additional preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.
Minimum Qualifications:


• Master's degree in Mechanical Engineering, Materials Science, Electrical Engineering, Physics/Applied Physics, or a related field with 3+ years of experience or PhD in Mechanical Engineering, Materials Science, Electrical Engineering, Physics/Applied Physics, or a related field.


• Experience listed above should be a combination of the following:

Programming/script (e.g., Python, MATLAB) development with artificial intelligence and machine learning concepts.
Preferred Qualifications:


One or more years of experience in one or more of the following areas:
• Technology development, including familiarity with Statistical Process Control (SPC) and/or Design of Experiments (DOE)
• Delivery of results for complex, time-critical technical projects.
• Semiconductor fabrication processes and technologies.
• Prior related work experience within a semiconductor foundry.


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.
Benefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here.
Annual Salary Range for jobs which could be performed in the US $127,400.00-$179,900.00
*Salary range dependent on a number of factors including location and experience
Working Model
This role will require an on-site presence.* Job posting details (such as work model, location or time type) are subject to change.

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About Intel

Sourced by ZipRecruiter

Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore's Law to bring smart, connected devices to every person on Earth

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1968

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