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Internship Statistical Process Control Jobs in North Carolina

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

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

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

Strong understanding of statistical process control, statistics, and customer integration. * Leadership skills to drive projects and process teams to successful fruition. * Strong customer base and ...

Apply SPC (Statistical Process Control) methods to monitor and improve process capability. * Ensure compliance with ISO 9001 quality management system standards. * Collaborate with other team members ...

Showing results 21-40

Internship Statistical Process Control information

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.

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:

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.

Manufacturing Process Engineer

Bürkert Fluid Control Systems

Huntersville, NC • On-site

$69K - $92K/yr

Full-time

Re-posted 16 days ago


Job description

Where would you like to shape the success of your future career: At a worldwide leading manufacturer of process measuring and control technology? In a family- owned company that values its more than 3,700 employees in more than 30 countries and sees them all as individuals? In a team that breaks new ground with courage and passion?
Did you answer "Yes" three times? Then it is time for us to make your acquaintance.
RESPONSIBILITIES:
  • Manage efficiency of CNC machine systems and standard components.
  • Drive spindle time optimization across turning, milling, and multi-axis machining cells.
  • Conduct time studies, cycle time analysis, capacity modeling to identify improvement opportunities
  • Continuously improve machine scheduling practices using SAP.
  • Tool presetting, tool life management, and structured tool building
  • Define and enforce setup standards.
  • Analyze and reduce machine downtime.
  • Partner with CNC programmers on CAM strategy improvements.
  • Lead root cause analysis on scrap, rework, and non-conformances originating in machining.
  • Develop and execute a structured improvement roadmap between audit cycles
  • Lead and facilitate improvement workshops.
  • Ensure annual instruction plans are current and compliant.
  • Author and maintain Factory Standards, work instructions, BOPs, control plans, and process flow documentation for all manufacturing processes
  • Ensure SAP routing data accurately reflects current process times, sequences, and resource assignments.
  • Maintain digital machine handbooks (SI08) for production CNC equipment
  • Establish structured filing practices on the production drive.
  • Support welding process development
  • Contribute to process improvements in secondary operations

REQUIREMENTS:
* Bachelor's degree in Manufacturing, Mechanical, or Industrial Engineering, or a closely related technical discipline is required.
* 3 - 8 years of progressive experience in a precision CNC machining environment, including hands-on work with turning, milling, and multi-axis machining of close-tolerance components in metals (stainless steel, brass, aluminum) and/or engineered plastics.
  • Experience in machining process improvement
  • Direct experience with SAP production modules.
  • Hands-on experience with tool management systems.
  • Experience leading Kaizen events, Value Stream Mapping sessions, and 5S programs in a machining or fabrication environment.
  • CAD/CAM proficiency with Siemens NX, Mastercam, or equivalent software.
  • Familiarity with GD&T precision measurement techniques, and CMM-based inspection processes as they apply to machined components.
  • OEE measurement and analysis.
  • Experience with Value Stream Mapping, Kaizen event facilitation, 5S/6S workplace organization, Total Productive Maintenance (TPM), Single-Minute Exchange of Dies (SMED).
  • Experience with DMAIC methodology, statistical process control (SPC) and control charts, Design of Experiments (DOE), Failure Mode and Effects Analysis (FMEA), and structured root cause analysis.
  • Experience with Factory Standards, BOP's, control plans, and process documentation
  • Required Leadership behaviors: Practitioner mindset, Independent and balanced perspective, ownership, willingness to learn adjacent processes and grow the role over time

In return, we offer you exciting and challenging responsibilities, diverse perspectives with a high degree of individual freedom and a corporate culture that encourages you to use it.
Curious? Then we look forward to receiving your application.