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Statistical Process Control Engineer Jobs in North Carolina

PrysmianGroup

Process Control Engineer

Claremont, NC · On-site

... motivated Process Control Engineer to join our engineering team and play a critical role in ... Knowledge of statistical analysis and process improvement methodologies such as SPC, Minitab, Six ...

Prysmian Group

Process Control Engineer

Claremont, NC · On-site

... motivated Process Control Engineer to join our engineering team and play a critical role in ... Knowledge of statistical analysis and process improvement methodologies such as SPC, Minitab, Six ...

Envalior

Process Control Engineer

Dallas, NC · On-site

Bachelor's degree in Electrical Engineering or similar. * Proven experience in process control within a chemical or polymer production environment. * Strong analytical skills with experience in data ...

Envalior

Process Control Engineer

Gastonia, NC · On-site

Bachelor's degree in Electrical Engineering or similar. * Proven experience in process control within a chemical or polymer production environment. * Strong analytical skills with experience in data ...

Elementia

Process Engineer

North Wilkesboro, NC · On-site

Process Engineer REPORTS TO TITLE: Plant Manager GENERAL FUNCTION The primary function of this ... statistical process control and optimization techniques * Knowledge of statistical techniques ...

New

Southern Fabricators

MANUFACTURING ENGINEER

Polkton, NC · On-site

$60K - $85K/yr

As a Manufacturing Engineer in the manufacturing industry, you will play a critical role in ... Familiarity with statistical process control (SPC) techniques and quality management systems.

New

Wolfspeed, Inc.

Process Sustaining Engineer

Durham, NC · On-site

$88K - $108K/yr

... and Statistical Process Control (SPC) targeting physical cause of failure for yield loss and ... Providing guidance to junior engineers and technicians. Skills and Qualifications: * Bachelor's or ...

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Statistical Process Control Engineer information

What does a Statistical Process Control Engineer do?

A Statistical Process Control (SPC) Engineer is responsible for designing, implementing, and maintaining systems that monitor and control manufacturing processes using statistical methods. They analyze data to identify trends, reduce process variation, and improve product quality. SPC Engineers work closely with production teams to ensure processes remain stable, efficient, and in compliance with industry standards. Their role often involves training staff in SPC techniques and troubleshooting quality issues using data-driven approaches.

What are the key skills and qualifications needed to thrive as a Statistical Process Control Engineer?

To thrive as a Statistical Process Control Engineer, you need a solid background in statistics, process engineering, and quality management, often supported by a degree in engineering or a related field. Familiarity with SPC software (such as Minitab or JMP), Six Sigma methodologies, and quality system certifications like ASQ are typically required. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting data and collaborating with cross-functional teams. These skills and qualifications are vital to maintain product quality, optimize processes, and drive continuous improvement within manufacturing or production environments.

How does a Statistical Process Control Engineer typically collaborate with production and quality teams to drive process improvements?

A Statistical Process Control Engineer regularly works alongside both production and quality assurance teams to identify trends, troubleshoot issues, and implement data-driven improvements. They analyze real-time data from manufacturing processes, facilitate root cause analysis sessions, and communicate findings through reports or presentations. Collaboration often includes training team members on SPC tools and methodologies, as well as guiding them in using statistical techniques to monitor and control process variability. This cross-functional teamwork ensures that process adjustments are both technically sound and operationally practical, leading to sustained quality improvements.

What is the difference between Statistical Process Control Engineer vs Quality Engineer?

AspectStatistical Process Control EngineerQuality Engineer
Primary FocusMonitoring and controlling manufacturing processes using statistical methodsEnsuring overall product quality through testing, inspection, and process improvements
CertificationsSix Sigma, Statistical Process Control (SPC) certificationsSix Sigma, Quality Management certifications (e.g., CQE)
Work EnvironmentManufacturing plants, process development labsQuality departments, production facilities
Industry UsageManufacturing, automotive, electronicsManufacturing, healthcare, aerospace

While both roles focus on improving product quality, the Statistical Process Control Engineer specializes in using statistical tools to monitor and control manufacturing processes, whereas the Quality Engineer oversees broader quality assurance activities, including testing and compliance. Understanding these differences helps in choosing the right career path or job search focus.

What is statistical process control in engineering?

Statistical Process Control (SPC) is a method used by engineers, including those in quality and manufacturing roles, to monitor and control a process through statistical analysis. It involves collecting data from production processes, using control charts to detect variations, and ensuring consistent product quality by identifying and addressing issues early. SPC tools like Pareto charts and process capability analysis are commonly employed to maintain process stability and improve efficiency.

What are popular job titles related to Statistical Process Control Engineer jobs in North Carolina?

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

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

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

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

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

Statistical Process Control Engineer jobs near you
Infographic showing various Statistical Process Control Engineer job openings in North Carolina as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Process Control Engineer

PrysmianGroup

Claremont, NC • On-site

Full-time

Posted 9 days ago

Job description

Drive Innovation. Optimize Performance. Transform Manufacturing.

Are you energized by solving complex technical challenges, leveraging data to drive decisions, and implementing automation that delivers measurable results? Prysmian's Claremont Fiber Manufacturing Facility is looking for a highly motivated Process Control Engineer to join our engineering team and play a critical role in advancing the technology, quality, and performance of one of the world's most sophisticated optical fiber manufacturing operations. This is more than a traditional engineering role. You'll combine process engineering, automation, data analytics, and continuous improvement to optimize manufacturing processes, improve product quality, and develop the next generation of automated manufacturing solutions. You'll work with cutting-edge technologies while collaborating with engineering, operations, maintenance, quality, and global technical teams to make a direct impact on plant performance.If you thrive in fast-paced environments, enjoy turning data into action, and want to help shape the future of advanced manufacturing, we'd love to meet you.

What You'll Do

  • Lead and optimize assigned manufacturing processes to improve yield, quality, productivity, and process stability.
  • Monitor process performance, analyze data trends, and drive root cause investigations for quality and equipment issues.
  • Design, maintain, and improve PLC, HMI, SCADA, and other control systems supporting fiber manufacturing operations.
  • Implement automation and process control improvements that enhance reliability, efficiency, and product quality.
  • Provide hands-on troubleshooting and technical support for process, automation, instrumentation, and equipment-related challenges.
  • Partner with Operations, Maintenance, Quality, and Engineering teams to resolve issues and improve plant performance.
  • Lead continuous improvement, cost reduction, and capital project initiatives from concept through implementation.
  • Support new product introductions, process qualifications, and equipment upgrades.
  • Develop and maintain process documentation, KPIs, reporting tools, and control system standards.
  • Collaborate with global Prysmian engineering teams to share best practices and implement innovative manufacturing solutions.
  • Participate in a rotating on-call schedule and provide occasional off-hours support as needed.

What You Bring

Required Qualifications
  • Bachelor's degree in Engineering
  • Minimum of 3 years of experience in manufacturing engineering
  • Strong analytical and problem-solving skills with the ability to manage multiple priorities.
  • Experience working with large data sets and making data-driven decisions
Preferred Qualifications
  • Experience with optical fiber manufacturing (VAD, OVD, AVD, PCVD, preform manufacturing, fiber draw, coating, or related processes) is highly preferred.
  • 5+ years of experience in advanced manufacturing, process control, industrial automation, or process engineering environments.
  • Experience with PLC programming platforms such as Allen-Bradley, Siemens, or equivalent.
  • Experience working with HMI, SCADA, industrial networks, instrumentation, and data acquisition systems.
  • 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 manufacturing technologies.
  • Experience managing capital projects and leading cross-functional teams.

Industry Experience Advantage

Candidates with experience in optical fiber manufacturing processes including VAD, OVD, AVD, PCVD, preform production, fiber draw operations, coating processes, or related glass manufacturing technologies will have the opportunity to make an immediate impact in this role.What Makes You Successful
  • Curious, hands-on, and passionate about continuous improvement.
  • Driven to become a subject matter expert and technical leader.
  • Comfortable working in a fast-paced manufacturing environment where every day brings new challenges.
  • Able to influence teams and drive change across multiple departments.
  • Detail-oriented, organized, and committed to operational excellence.
  • Motivated by solving tough problems and seeing your solutions make an immediate impact.
  • Thrives in a collaborative environment and enjoys working with operations, maintenance, quality, and engineering teams.

Why You'll Love Working Here

At Prysmian, you'll work at the intersection of advanced manufacturing, automation, and innovation. You'll have the opportunity to influence world-class fiber manufacturing processes, lead meaningful projects, collaborate with global experts, and see the direct results of your work every day.You'll work with unique technologies used in preform production and fiber draw manufacturing, help drive automation and digital transformation initiatives, and play a key role in expanding and modernizing one of Prysmian's most important fiber manufacturing facilities.Whether you're optimizing a critical process, implementing new automation technology, solving complex manufacturing challenges, or leading the next breakthrough improvement project, you'll play a key role in helping connect the world.Ready to Make Your Mark?Join Prysmian and help shape the future of fiber manufacturing through innovation, automation, and engineering excellence.

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Prysmian, as an Equal Opportunity Employer, aims to attract and recruit individuals with diverse backgrounds, skills, and abilities. We strongly believe that diversity brings significant value at all levels of the organization, increasing the possibility of capturing market opportunities and maximizing value for our customers and stakeholders. With Diversity, Equity, and Inclusion (DE&I) as part of our Social Ambition 2030 and a strategic pillar of our Company culture, Prysmian is committed to the development of an organization that prioritizes talent, where people feel respected, included, and free to fully express their potential just as they are.


All Managers and HRs in Prysmian are responsible for ensuring DE&I policies are respected during the recruiting process, as well as recognizing and mitigating unconscious biases that must not influence our selection processes. All persons will be considered for employment without regard to their race, ethnicity, religion, nationality, origin, citizenship status, socio-economic status, age, sex, gender identity or expression, sexual orientation, marital status, disability, military service or veteran status, pregnancy, parental leave, medical conditions, or any other characteristic protected by applicable federal, state or local laws. Prysmian will endeavor to make a reasonable accommodation for any disclosed physical or neurological condition or disability of a qualified applicant unless the accommodation would impose an undue hardship on the operation of our business.

Visit our DE&I Page to learn more about Prysmian's commitments.

Your application data will be treated according to our Data Protection Policy. If you believe you require assistance to complete this form or to participate in an interview, please contact us at talent.mobility@prysmiangroup.com.

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