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Internship Statistical Process Control Jobs in Arizona

Applying statistics process control methods to establish and sustain a robust mask process flow. As an EE : Installing, qualifying and sustaining manufacturing equipment to expand capacity with ...

Applying statistics process control methods to establish and sustain a robust mask process flow. As an EE : Installing, qualifying and sustaining manufacturing equipment to expand capacity with ...

Quality Engineering Technician - Contract

Phoenix, AZ · On-site

$22.25 - $29.75/hr

Analyze and present quality control data to the engineering team to support informed decision-making. * Assist in the implementation and maintenance of Statistical Process Controls (SPC) and generate ...

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 ...

Quality Management Engineer

Phoenix, AZ

$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 ...

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 ...

Be Seen First

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 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:

Mask Process/Equipment Engineer

TSMC

Phoenix, AZ • On-site

Full-time

Posted 8 days ago


TSMC rating

8.2

Company rating: 8.2 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

36th of 139 rated electronics manufacturers


Job description

At TSMC Arizona, brilliance can ignite a world of innovation and launch a promising future. The world's most brilliant innovators entrust us to transform their ideas into world-changing products that impact millions of lives. As long as you have the same passion to pursue excellence, you will find your fit here.
TSMC Arizona is looking for a Mask Process/Equipment Engineer to join our 4-nanometer fab, located in sunny Phoenix, Arizona. As a Mask Process Engineer, you will demonstrate a strong sense of reliability and enthusiasm and will possess an attitude that embodies our core values - Integrity, Commitment, Innovation and Customer Trust.
TSMC Arizona's EBO is responsible for EUV and Optical mask making including leading edge mask writing, processing, inspection, repair, cleaning and metrology technology.
Job Description:
Your main responsibilities will include, and being PE&EE to install and release equipment and process.
As a PE: designing and executing experiments, interpreting and extracting insightful results from complex data sets to optimize the mask process and achieve precision control. Applying statistics process control methods to establish and sustain a robust mask process flow.
As an EE: Installing, qualifying and sustaining manufacturing equipment to expand capacity with punctuation and quality. Applying your experience and systematic approach to solve equipment issues. Improving tool uptime availability and utilization efficiency. Collaborating effectively with equipment and material suppliers and partners to identify technology gaps and deficiencies; devise, evaluate and qualify mitigation and continuous improvement solutions. Scheduled night shifts and weekend on-duty rotations needed.
Minimum Qualifications:
Applicants must be legally eligible to work in the United States and have:
  • A minimum of a B.S. Degree in an engineering and scientific field such as Physics, Material Science, Chemical Engineering, Electric Engineering, Chemistry, or Mechanical Engineering. Master degree and above is preferred.
  • No prior experience required, need good communication and interpersonal skills that enable you to work on cross-functional and geographically dispersed teams.
  • Able to adapt priorities and responsibilities to support business needs.
  • A team player that can multitask and thrive in a very dynamic and fast-paced environment.

Work Location: Phoenix, AZ
Training Location: Phoenix, AZ
Travel: None
Date: Jun 5, 2026
Country/Region: US
City: Phoenix
Company: TSMC Arizona

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