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Statistical Process Control Jobs in North Carolina

PrysmianGroup

Process Control Engineer

Claremont, NC · On-site

Knowledge of statistical analysis and process improvement methodologies such as SPC, Minitab, Six Sigma, or similar tools. * Familiarity with motion control systems, machine vision, and advanced ...

Prysmian Group

Process Control Engineer

Claremont, NC · On-site

Knowledge of statistical analysis and process improvement methodologies such as SPC, Minitab, Six Sigma, or similar tools. * Familiarity with motion control systems, machine vision, and advanced ...

Elementia

Process Engineer

North Wilkesboro, NC · On-site

Should be fluent in the application of lean manufacturing, cost reduction, statistical process control and optimization techniques * Knowledge of statistical techniques, problem solving methods ...

New

Southern Fabricators

MANUFACTURING ENGINEER

Polkton, NC · On-site

$60K - $85K/yr

Your expertise will drive improvements in process layouts, injection molding techniques, and statistical process control to minimize waste and maximize productivity. Collaborating closely with cross ...

New

SGL Carbon

Process Engineer I

Morganton, NC · On-site

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

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

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 ...

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All JobsStatistical Process Control JobsStatistical Process Control Jobs in North Carolina

Statistical Process Control information

See North Carolina salary details

$76.8K

$133.9K

$226.3K

How much do statistical process control jobs pay per year?

As of Aug 22, 2026, the average yearly pay for statistical process control in North Carolina is $133,859.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,600.00 and $145,400.00 per year, depending on experience, location, and employer.

What is statistical process control?

A Statistical Process Control (SPC) job involves monitoring and improving manufacturing or business processes using statistical methods. SPC professionals collect and analyze data to detect variations, identify root causes, and ensure process stability and efficiency. They use control charts, process capability analysis, and other tools to maintain quality standards. Their goal is to reduce defects, minimize waste, and improve overall performance.

What are the typical daily responsibilities for someone working in statistical process control?

In a Statistical Process Control role, your day-to-day tasks often include collecting and analyzing production data, generating control charts, and identifying trends or deviations in process performance. You will frequently collaborate with production teams and engineers to investigate causes of process variation and recommend improvements. Preparing detailed reports, conducting root cause analyses, and supporting quality audits are also common aspects of the job. This role requires a blend of technical analysis and hands-on engagement with cross-functional teams to ensure consistent product quality and efficient manufacturing operations.

What are the key skills and qualifications needed to thrive in statistical process control, and why are they important?

To thrive in Statistical Process Control, a strong background in statistics, data analysis, and industrial process optimization—often supported by a degree in engineering, mathematics, or related fields—is essential. Familiarity with statistical software (such as Minitab, JMP, or SPSS), process monitoring tools, and industry certifications like Six Sigma are commonly required. Excellent problem-solving, attention to detail, and effective communication skills set standout professionals apart in this role. These abilities are crucial for accurately monitoring production quality, driving continuous improvement, and ensuring process stability in manufacturing environments.

What does a statistical process control specialist do?

A statistical process control specialist monitors manufacturing processes using statistical methods to ensure quality and consistency. They analyze data from production, develop control charts, and identify variations to prevent defects, often using tools like Minitab or SPC software. Certification in quality management and strong analytical skills are typically required for this role.

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 Statistical Process Control jobs in North Carolina?

For Statistical Process Control jobs in North Carolina, the most frequently searched job titles are:

What job categories do people searching Statistical Process Control jobs in North Carolina look for?

The top searched job categories for Statistical Process Control jobs in North Carolina are:

What cities in North Carolina are hiring for Statistical Process Control jobs?

Cities in North Carolina with the most Statistical Process Control job openings:

Statistical Process Control jobs near you
Infographic showing various Statistical Process Control job openings in North Carolina as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 13% Part Time, 7% Temporary, 2% Contract, and 1% Nights. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $133,859 per year, or $64.4 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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