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Internship Statistical Process Control Jobs in Arizona

Manufacturing Quality Engineer II

Phoenix, AZ · On-site

$71K - $92K/yr

Implement and monitor Statistical Process Control (SPC) systems to drive continuous improvement. * Use DMAIC principles and statistical analysis (e.g., Minitab, JMP) to identify process improvement ...

Some organizations are just beginning to modernize how they collect and use operational data, while others are leveraging advanced capabilities such as statistical process control (SPC), process ...

Statistical Process Control (SPC) * FMEA include Design FMEA (DFMEA) and Process FMEA (PFMEA) * Structured Problem Solving (8D) * Supplier Leadership, Escalation Management and Communication ...

Quality Management Engineer

Phoenix, AZ · On-site

$88K - $114K/yr

Applying statistics process control methods to establish and sustain a robust manufacturing process control. Standardizing, and documenting control models and methodologies. * Predictive analytics ...

Some organizations are just beginning to modernize how they collect and use operational data, while others are leveraging advanced capabilities such as statistical process control (SPC), process ...

Quality Management Engineer

Phoenix, AZ · On-site

$88K - $114K/yr

Applying statistics process control methods to establish and sustain a robust manufacturing process control. Standardizing, and documenting control models and methodologies. * Predictive analytics ...

Metrology Quality Engineer

Phoenix, AZ · On-site

$68K - $88K/yr

... statistical process controls knowledge and experience Role Summary Metrology Quality Engineer will report to the Operations Quality Manager and will be responsible for the end-to-end quality control ...

Develop manufacturing processes applicable to statistical process control and develop those techniques, including measurement systems. * Perform equipment qualifications (IQ), process validations ...

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Familiarity with Design of Experiments (DOE), Statistical Process Control (SPC), Failure Mode and Effects Analysis (FMEA), and Lean/Six Sigma methodologies. * Experience supporting high-volume ...

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Internship Statistical Process Control information

What is the role of statistical process control?

In an internship for Statistical Process Control, the role involves monitoring and analyzing manufacturing or business processes using statistical methods to ensure quality and consistency. It includes collecting data, creating control charts, and identifying variations to maintain process stability and improve efficiency.

What are the key skills and qualifications needed to thrive as an Internship Statistical Process Control, and why are they important?

To thrive in an Internship for Statistical Process Control, you need a solid understanding of statistics, data analysis, and quality management principles, typically gained through coursework in engineering or a related field. Familiarity with statistical software such as Minitab, Excel, or JMP, as well as knowledge of SPC charts and quality systems, is commonly expected. Attention to detail, problem-solving skills, and effective communication enable interns to analyze data accurately and work collaboratively within teams. These skills are vital for identifying process improvements, ensuring product quality, and supporting efficient manufacturing operations.

What are the 7 tools of SPC?

The 7 tools of Statistical Process Control (SPC) are used to analyze and improve processes, including the Pareto chart, cause-and-effect diagram, control chart, histogram, scatter diagram, flowchart, and check sheet. These tools help quality professionals and interns identify variations, root causes, and process improvements in manufacturing or service environments.

What is an Internship in Statistical Process Control?

An Internship in Statistical Process Control (SPC) is a temporary, hands-on work experience where interns learn to monitor and improve manufacturing or business processes using statistical methods. Interns typically collect data, analyze process performance, and help identify areas for improvement using SPC tools like control charts and process capability analysis. This internship is valuable for students or recent graduates interested in quality assurance, process engineering, or data analysis, providing practical exposure to real-world applications of statistics in industry.

What types of projects can I expect to work on during an Internship in Statistical Process Control?

As an intern in Statistical Process Control (SPC), you will typically assist with collecting and analyzing production data to monitor and improve manufacturing processes. Common projects include implementing control charts, conducting process capability studies, and collaborating with cross-functional teams to identify process variations and recommend improvements. You may also be involved in preparing reports, presenting findings to supervisors or engineers, and supporting ongoing quality assurance initiatives. These experiences provide valuable hands-on exposure to real-world problem-solving and teamwork within a manufacturing or quality-focused environment.

What is the difference between Internship Statistical Process Control vs Quality Control Intern?

AspectInternship Statistical Process ControlQuality Control Intern
CertificationsBasic knowledge of SPC tools, statistical methodsUnderstanding of quality standards, inspection techniques
Work EnvironmentManufacturing, production lines, data analysisInspection labs, production facilities, quality departments
Industry UsageManufacturing, automotive, electronicsManufacturing, consumer goods, pharmaceuticals

Internship Statistical Process Control focuses on analyzing data to monitor and improve manufacturing processes using statistical methods. In contrast, a Quality Control Intern primarily inspects products and ensures quality standards are met. Both roles are essential in manufacturing industries but differ in their focus—SPC emphasizes data analysis and process improvement, while QC emphasizes product inspection and compliance.

What is a statistical process control job description?

A Statistical Process Control (SPC) job involves monitoring and analyzing manufacturing or business processes using statistical methods to ensure quality and consistency. Responsibilities include collecting data, creating control charts, identifying process variations, and implementing improvements, often requiring knowledge of statistical software and quality standards like Six Sigma. The role aims to reduce defects and improve process efficiency.

What jobs can I do with statistics?

With a background in statistics, you can pursue roles such as Data Analyst, Quality Control Analyst, Statistical Consultant, or Operations Analyst. These jobs often require skills in data analysis, statistical software, and understanding of process control, especially in industries like manufacturing, healthcare, or finance.
What are the most commonly searched types of Statistical Process Control jobs in Arizona? The most popular types of Statistical Process Control jobs in Arizona are:
What job categories do people searching Internship Statistical Process Control jobs in Arizona look for? The top searched job categories for Internship Statistical Process Control jobs in Arizona are:
Packaging Module Process Development Engineer

Packaging Module Process Development Engineer

Intel

Phoenix, AZ

Full-time

Medical, Retirement, PTO

Posted 4 days ago


Intel rating

8.7

Company rating: 8.7 out of 10

Based on 145 frontline employees who took The Breakroom Quiz

11th of 141 rated electronics manufacturers


Job description

Job Details:Job Description: 

In this position, you will be responsible for advancing packaging process development through the following responsibilities:

Develops assembly processes and applies novel concepts for innovative solutions to enable Intel's roadmap of future assembly packaging platform technologies.

Optimizes and improves the efficiency of manufacturing of packages, developing processes to meet quality, reliability, cost, yield, productivity, and manufacturability requirements.

Develops process and equipment specifications applying principles for design of experiments and data analysis, and documents improvements through white papers.

Ensures manufacturability of physical layout of package design and oversees the cycle of manufactured package processes, procedures, and flows.

Establishes material specifications for contract assemblers and raw material vendors and interfaces with supplier quality and procurement teams to ensure material quality and vendor performance requirements are met through strict adherence to process specifications and existing product qualification methods.

Develops new techniques and acceleration methods, tools, and quality screens to ensure the early identification of potential problems with packaging quality and reliability.

Sets reliability requirements to meet customer needs and influences design, material selection and process development to meet those needs, based on fundamental understanding of failure mechanisms.

Leads efforts towards innovating, problem solving, developing, and continuously improving equipment and processes using experimental design and statistical methods.

Provides consultation concerning packaging problems and improvements in the packaging process and responds to customer/client requests or events as they occur.

Delivers standardization in product qualification, manufacturing quality systems, and methods and continuously engages with packaging technology development and partner engineering groups on process/technology maturity for products towards key risk areas in meeting product milestones.

The candidate should exhibit the following behavioral traits:

Technical innovation and deliver results for complex, time critical technical projects.
Excellent verbal and written communication skills.

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. Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.

Minimum qualifications:

  • Bachelor's degree in engineering, Physics, Chemistry or related field with 6+ years of industry experience
  • OR- master's degree in engineering, Physics, Chemistry or related field with 4+ years of industry experience
  • OR- PhD degree in Engineering, Physics, Chemistry or related field with 2+ years of industry experience

The experience outlined above should reflect a combination of the following qualifications:

-Experience with statistical process controls (SPC)

-Experience FMEA and/or DOE

-Semiconductor fabrication related experience

Preferred Qualifications:


Preference for experience with dispense and/or material development.
Product ownership, change control management and data systems
Project management and delivering results for time critical technical projects.

Job Type:Experienced HireShift:Shift 1 (United States of America)Primary Location: US, Arizona, PhoenixAdditional Locations:Business group:Intel Foundry strives to make every facet of semiconductor manufacturing state-of-the-art while delighting our customers -- from delivering cutting-edge silicon process and packaging technology leadership for the AI era, enabling our customers to design leadership products, global manufacturing scale and supply chain, through the continuous yield improvements to advanced packaging all the way to final test and assembly. We ensure our foundry customers' products receive our utmost focus in terms of service, technology enablement and capacity commitments. Employees in the Foundry Technology Manufacturing are part of a worldwide factory network that designs, develops, manufactures, and assembly/test packages the compute devices to improve the lives of every person on Earth.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 TrustN/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: $133,800.00-188,890.00 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.

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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