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Internship Statistical Process Control Jobs in North Carolina

SGL Carbon

Process Engineer I

Morganton, NC

Statistical Process Control * Statistical Analysis * Excellent verbal and written communication skills. * Excellent writing and grammatical skills. * Excellent organizational skills and attention to ...

Oclaro

Process Engineer

Greensboro, NC · On-site

$100K - $140K/yr

Strong background in statistical process control. Salary Range The salary range for this position is $100,000 - 140,000USD. Final compensation will be determined based on factors such as experience ...

coty

Process Engineer Co-Op

Sanford, NC

Apply process improvement tools including statistical process control, process mapping, control charts, design of experiments, Lean methodology and process capability studies. * Analyze critical line ...

Coty

Process Engineer Co-Op

Sanford, NC · On-site

Apply process improvement tools including statistical process control, process mapping, control charts, design of experiments, Lean methodology and process capability studies. * Analyze critical line ...

coty

Process Engineer Co-Op

Sanford, NC

Apply process improvement tools including statistical process control, process mapping, control charts, design of experiments, Lean methodology and process capability studies. * Analyze critical line ...

Coty

Process Engineer Co-Op

Sanford, NC

Apply process improvement tools including statistical process control, process mapping, control charts, design of experiments, Lean methodology and process capability studies. * Analyze critical line ...

coty

Logistics Process Engineer Co-Op

Sanford, NC

Apply process improvement tools including statistical process control, process mapping, control charts, design of experiments, Lean methodology and process capability studies. * Analyze critical ...

Coty

Logistics Process Engineer Co-Op

Sanford, NC

Apply process improvement tools including statistical process control, process mapping, control charts, design of experiments, Lean methodology and process capability studies. * Analyze critical ...

ATI

Engineer II, Process

Monroe, NC · On-site

Establish, monitor, and maintain statistical process control (SPC) limits for key products and ... Internships and/or co-op work experience in a metals-related industry. Preferred Qualifications

Next Gen Alloys

Engineer II, Process

Monroe, NC

Establish, monitor, and maintain statistical process control (SPC) limits for key products and ... Internships and/or co-op work experience in a metals-related industry. Preferred Qualifications

ATI

Engineer II, Process

Monroe, NC

Establish, monitor, and maintain statistical process control (SPC) limits for key products and ... Internships and/or co-op work experience in a metals-related industry. Preferred Qualifications

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All JobsStatistical Process Control JobsInternship Statistical Process Control JobsInternship Statistical Process Control Jobs in North Carolina

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 North Carolina? The most popular types of Statistical Process Control jobs in North Carolina are:
What are popular job titles related to Internship Statistical Process Control jobs in North Carolina? For Internship Statistical Process Control jobs in North Carolina, the most frequently searched job titles are:
What job categories do people searching Internship Statistical Process Control jobs in North Carolina look for? The top searched job categories for Internship Statistical Process Control jobs in North Carolina are:
What cities in North Carolina are hiring for Internship Statistical Process Control jobs? Cities in North Carolina with the most Internship Statistical Process Control job openings:
Internship Statistical Process Control jobs near you
Infographic showing various Internship Statistical Process Control job openings in North Carolina as of July 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, 2% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Senior Photolithography Process Engineer with Security Clearance

Cubic Corporation

Durham, NC • On-site

$110K - $119K/yr

Other

Posted 2 days ago

New

Job description

Business Unit: Cubic Defense Company Details: We are seeking a highly-motivated, full-time Senior Photolithography Process Engineer onsite at our Durham, NC facility to lead the development, optimization, and scale-up of advanced photolithography-based additive manufacturing processes. This role will be responsible for driving process innovation, improving product quality and throughput, and supporting the transition of new technologies from research and development into production environments. The ideal candidate will possess deep expertise in photopolymerization, UV curing, lithographic exposure systems, process characterization, and statistical process control within a high-technology manufacturing environment. Occasional travel may be required to visit suppliers. Job Details: Essential Functions: * Develop, optimize, and sustain photolithography-based additive manufacturing processes to achieve quality, throughput, and cost objectives.
* Lead process development activities for new products, materials, and equipment platforms.
* Design and execute experiments to characterize and improve process capability, dimensional accuracy, and yield.
* Analyze complex process data using statistical methods and drive continuous improvement initiatives.
* Investigate and resolve process excursions, equipment issues, and manufacturing defects through structured root cause analysis.
* Define process windows, control plans, and manufacturing specifications.
* Collaborate with design, materials, equipment, production, and quality teams to ensure successful product launches and manufacturing scale-up.
* Evaluate and qualify new photopolymers, resins, exposure systems, and process technologies.
* Establish and maintain process monitoring metrics, statistical process control (SPC), and documentation.
* Provide technical leadership, mentorship, and training to engineers and manufacturing personnel.
Minimum Qualifications * Bachelor's degree in Materials Science, Chemical Engineering, Mechanical Engineering, Physics, Electrical Engineering, or a related technical discipline.
* 6+ years of experience in photolithography, additive manufacturing, semiconductor processing, microfabrication, or related advanced manufacturing technologies.
* Strong knowledge of photolithography, UV exposure systems, dry film manufacturing, film lamination and wet spinning, photoresists, and layer-by-layer manufacturing processes.
* Experience with Design of Experiments (DOE), Statistical Process Control (SPC), and process capability analysis.
* Experience using data analysis tools such as JMP, Minitab, MATLAB, Python, or equivalent.
Preferred Qualifications * Master's or Ph.D. degree in a relevant engineering or scientific field.
* Familiarity with cleanroom operations and semiconductor manufacturing methodologies.
* Demonstrated success in process development, troubleshooting, and manufacturing scale-up.
* Experience leading cross-functional technical teams and mentoring junior engineers.
* Understanding of quality systems and manufacturing standards in regulated industries. (AS9100 preferred) Cubic Pay Range: $110,000.00 - $119,000.00 + benefits. The Cubic pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. Worker Type: Employee We are committed to creating an inclusive workplace and welcome applications from people of all backgrounds. We do not discriminate based on any protected characteristic under applicable law.

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