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Internship Statistical Process Control Jobs in Texas

skywater

Process Sustaining Sr. Engineer (CMP)

Austin, TX · On-site

$98K - $127K/yr

Maintain and improve process control using Statistical Process Control (SPC), Advanced Process Control (APC), and Fault Detection Control (FDC) * Investigate and resolve process, defect, and yield ...

X-Bow Systems

Process Quality Engineer

Luling, TX · On-site

Implementing statistical process control (SPC) methods to monitor and improve manufacturing processes.Continuous Improvement:Identifying areas for process improvement and implementing corrective ...

Xbow

Process Quality Engineer

Luling, TX · On-site

Implementing statistical process control (SPC) methods to monitor and improve manufacturing processes. Continuous Improvement: * Identifying areas for process improvement and implementing corrective ...

X-Bow Systems

Process Quality Engineer

Luling, TX · On-site

Implementing statistical process control (SPC) methods to monitor and improve manufacturing processes. Continuous Improvement: * Identifying areas for process improvement and implementing corrective ...

NXP Semiconductors

Reliability Engineer

Austin, TX · On-site

$101K - $127K/yr

Position requires knowledge gained via completion of a graduate-level course, internship or related ... Quality Control, 6. Statistical Process Control using Principal Component Analysis (PCA), 7. ...

OHFH Agency

SMT Process Engineer

Fort Worth, TX · On-site

$85 - $110/hr

Conduct process capability analysis and implement Statistical Process Control (SPC) methodologies. * Drive continuous improvement initiatives using Lean Manufacturing and Six Sigma principles.

Total Site Solutions

Quality Manager

Georgetown, TX · On-site

$90 - $120/hr

By utilizing statistical process control and value stream mapping techniques, the role drives continuous improvement efforts aimed at reducing scrap and enhancing overall operational efficiency.

Total Site Solutions

Quality Manager

Georgetown, TX · On-site

By utilizing statistical process control and value stream mapping techniques, the role drives continuous improvement efforts aimed at reducing scrap and enhancing overall operational efficiency.

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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.

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Internship Statistical Process Control jobs near you

Process Sustaining Sr. Engineer (CMP)

skywater

Austin, TX • On-site

$98K - $127K/yr

Full-time

Re-posted 20 days ago

Job description

SkyWater Technology is hiring an experienced semiconductor Process Sustaining Senior Engineer in the area of Chemical Mechanical Polish (CMP) at its Austin, TX location.  The process engineer will be responsible for maintaining the existing process ensuring production metrics are met and also drive process improvements.  Areas of improvement may include establishing new process settings, qualifying new polishing slurries and consumables, or qualifying new equipment.  Along with applicable technical knowledge, candidates will need to possess strong troubleshooting skills along with ability to conduct statistical analysis on data.

Responsibilities:

  • Responsible for a CMP process (STI, W, Oxide, or Cu)
  • Maintain and improve process control using Statistical Process Control (SPC), Advanced Process Control (APC), and Fault Detection Control (FDC)
  • Investigate and resolve process, defect, and yield issues, including qualifying process improvements which will require the use of Design of Experiments (DOE)
  • Work with the equipment and industrial engineers to improve tool availability, throughput, and utilization
  • Develop and execute plans to drive down overall costs while ensuring high quality
  • Work on cross functional teams to address integrated technology and yield issues

Requirements:

  • Bachelors degree in Engineering, Chemistry or related discipline
  • 2+ years of semiconductor manufacturing experience, experience with chemical mechanical polish preferred
  • The ability to handle challenging work with time constraints
  • Strong data analysis skills and the ability to use tools such as JMP and SQL
  • Ability to work on-site, M-F from 7:30am-4:30pm

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