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Internship Statistical Process Control Jobs in Apex, NC

Wolfspeed, Inc.

Process Sustaining Engineer

Durham, NC · On-site

$88K - $108K/yr

Developing and conducting statistical analysis such as Design of Experiments (DOE) and Statistical Process Control (SPC) targeting physical cause of failure for yield loss and improving quality.

Cree

Process Sustaining Engineer

Durham, NC

$88K - $108K/yr

Developing and conducting statistical analysis such as Design of Experiments (DOE) and Statistical Process Control (SPC) targeting physical cause of failure for yield loss and improving quality.

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 · 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

Logistics 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 ...

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 ...

Revere Copper Products

Process Engineer

Mebane, NC · On-site

$76K - $89K/yr

Perform Capability and Control Statistical Studies internally and externally. * Complete and maintain various APQP demands, including PPAP's, Capability Studies, Part Warrants, Gaging R&R, Process ...

REVERE SOUTH INC

Process Engineer

Mebane, NC · On-site

$76K - $89K/yr

Perform Capability and Control Statistical Studies internally and externally. * Complete and maintain various APQP demands, including PPAP's, Capability Studies, Part Warrants, Gaging R&R, Process ...

Amgen SA

Senior Process Engineer

Holly Springs, NC · On-site

$120 - $150/hr

Proficiency in data‑driven techniques such as Root Cause Analysis, Statistical Process Control, Six Sigma, and Predictive Maintenance. * Experience in regulated environments (cGMP, OSHA, EPA) and ...

Millenniumsoft, Inc

Quality Engineer I - Onsite

Durham, NC · On-site

$71.64/hr

Internship or co-op experience in a manufacturing environment preferred. * Understanding of quality ... Statistical Process Control (SPC) * Lean Manufacturing * Six Sigma methodologies * Experience with ...

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All JobsStatistical Process Control JobsInternship Statistical Process Control JobsInternship Statistical Process Control Jobs in Apex, NC

Internship Statistical Process Control information

See Apex, NC salary details

$27.8K

$42.2K

$75.4K

How much do internship statistical process control jobs pay per year?

As of Aug 22, 2026, the average yearly pay for internship statistical process control in Apex, NC is $42,174.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,000.00 and $45,700.00 per year, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive as an internship in statistical process control?

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 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.

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Internship Statistical Process Control jobs near you
Infographic showing various Internship Statistical Process Control job openings in Apex, NC as of June 2026, with employment types broken down into 2% As Needed, 40% Full Time, 51% Part Time, 5% Contract, and 2% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $42,174 per year, or $20.3 per hour.

Senior Photolithography Process Engineer

Cubic Corporation

Durham, NC • On-site

$110K - $119K/yr

Full-time

Posted 26 days ago

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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