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Internship Statistical Process Control Jobs in Arizona

Apply statistical process control (SPC) and data analysis tools to monitor and improve process capability. * Conduct root cause analyses (RCA) using structured methodologies (e.g., 8D, Fishbone, FMEA ...

Apply statistical process control (SPC) and data analysis tools to monitor and improve process capability. * Conduct root cause analyses (RCA) using structured methodologies (e.g., 8D, Fishbone, FMEA ...

Monitoring, analysis, applying lean six sigma statistics process control methods to establish and sustain a robust manufacturing process control, and * Standardizing, and documenting control models ...

Analyze statistical process control performance, OOC's and trend alerts. Requires use of Excel, JMP or other statistical software. * Lead Process Engineering Development * Direct and oversee process ...

Analyze statistical process control performance, OOC's and trend alerts. Requires use of Excel, JMP or other statistical software. * Lead Process Engineering Development * Direct and oversee process ...

Analyze statistical process control performance, OOC's and trend alerts. Requires use of Excel, JMP or other statistical software. * Lead Process Engineering Development * Direct and oversee process ...

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 ...

Sr. Quality Engineer

Tucson, AZ

$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 ...

Sr. Quality Engineer

Tucson, AZ

$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 ...

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Internship Statistical Process Control information

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 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 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:

Track Equipment / Process Engineer - N. Phoenix

SCREEN SPE USA

Phoenix, AZ • On-site

$90K - $140K/yr

Other

Posted 10 days ago


Job description

SCREEN SPE USA
My Account
Job Openings >> Track Equipment / Process Engineer - N. Phoenix
Track Equipment / Process Engineer - N. Phoenix
Summary
Title: Track Equipment / Process Engineer - N. Phoenix ID: 1698 Location: North Phoenix, AZ
More about this job >
Description

Job Summary:

Track Equipment / Process Engineer - Advanced Technology (Clean Track Systems) - SCREEN is seeking a highly motivated Track Equipment / Process Engineer to support the qualification, optimization, and long-term performance of clean track systems within a leading-edge, high-volume semiconductor manufacturing environment. This role is ideal for an engineer who thrives in a collaborative, fast paced setting and enjoys solving complex technical challenges that directly impact production quality and efficiency. Salary Range: $90,000 - $140,000.  Please Note:  SCREEN is not able to provide visa sponsorship at this time.

Essential Job Duties & Responsibilities:

Role Overview:

As a Track Equipment / Process Engineer, you will work closely with the customer's equipment engineering team, SCREEN's hardware service organization, and Japan based technical experts to maintain best known methods and drive continuous improvement. You will play a key role in sustaining critical coater/developer equipment, supporting new technology introductions, and ensuring stable, high quality manufacturing performance.
Key Responsibilities:

Qualify, sustain, and optimize clean track (coater) equipment in a high volume fab environment.
Serve as a technical liaison between customers, internal service teams, and global SCREEN resources. Support process and equipment troubleshooting, including tool matching, root cause analysis, and process transfers from other manufacturing sites.
Lead installation and qualification of new photoresist materials on existing tools.
Prepare clear, accurate technical documentation, reports, and presentations for internal and customer review.
Contribute to process specification responses, resist evaluations, and quality driven improvement initiatives.
Work effectively in cleanroom environments and collaborate within a multicultural, cross functional team.

Qualifications & Attributes:

Strong analytical and problem-solving skills with a hands-on approach to equipment and process engineering.
Ability to communicate clearly with both technical and non-technical stakeholders.
Comfortable working in cleanroom conditions and adapting to diverse cultural environments.

Job Requirements:

Minimum of 3 years of hands on experience with coat and develop track tools.
Experience working in fab operations, particularly within Tier 1 wafer fabrication environments, is highly desirable.
Background in semiconductor wafer fabrication site within a device manufacturer and/or semiconductor equipment supplier is preferred.
Experience identifying and implementing hardware continuous improvement projects (CIP) to enhance process performance.
Working knowledge of experimental design, statistical analysis tools, and statistical process control methodologies.
Excellent written and verbal communication skills, with the ability to interact effectively with both internal and external customers.
Proven capability in performing root cause analysis and preparing clear, structured reports using industry standard methodologies.
Ability to meet the physical requirements of the role, including stooping, reaching, handling, hearing, sitting, talking, and seeing.
Fluency in Mandarin or Japanese is advantageous and supports effective communication in a global, multicultural environment.

Education & Experience:

B.S./M.S. Chemical Engineering, Mechanical Engineering, Chemistry, Materials Science or a related engineering discipline.

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