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Internship Statistical Process Control Jobs in Washington

Process Engineer

Manassas, VA · On-site

$112K - $139K/yr

Position requires: * 1. Process Engineering; * 2. Semiconductor Physics; * 3. Data Analytics; * 4. Data Mining; * 5. Statistic Process control; * 6. Project management. The US base salary range that ...

Process Engineer

Manassas, VA · On-site

$112K - $139K/yr

Position requires: 1. Process Engineering; 2. Semiconductor Physics; 3. Data Analytics; 4. Data Mining; 5. Statistic Process control; and 6. Project management. The US base salary range that Micron ...

Process Engineer

Manassas, VA · On-site

$112K - $139K/yr

Position requires: 1. Process Engineering; 2. Semiconductor Physics; 3. Data Analytics; 4. Data Mining; 5. Statistic Process control; and 6. Project management. The US base salary range that Micron ...

Preferred qualifications In-depth understanding of Statistical Process Control (SPC) and/or Design of Experiments (DOE). Foundational analytical, problem solving, and decision-making skills. Our ...

Module Quality Engineer

Washington, DC · On-site

$81K - $104K/yr

Lead root cause analysis and problem-solving activities utilizing: 8D Problem Solving, Root Cause Corrective Action (RCCA), 5 Why Analysis, Fishbone Diagrams, Statistical Process Control (SPC)

Showing results 41-60

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 popular job titles related to Internship Statistical Process Control jobs in Washington?

For Internship Statistical Process Control jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Internship Statistical Process Control jobs in Washington look for?

The top searched job categories for Internship Statistical Process Control jobs in Washington are:

What cities in Washington are hiring for Internship Statistical Process Control jobs?

Cities in Washington with the most Internship Statistical Process Control job openings:

Infographic showing various Internship Statistical Process Control job openings in Washington as of June 2026, with employment types broken down into 7% As Needed, 13% Full Time, 67% Part Time, and 13% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Process Engineer

Manassas, VA • On-site

Micron Technology, Inc
Semiconductor and Electronic Component Manufacturing • 10K+ employees

$112K - $139K/yr

Other

Medical, Dental, Vision, PTO

Re-posted yesterday


Micron Technology rating

8.6

Company rating: 8.6 out of 10

Based on 43 frontline employees who took The Breakroom Quiz


Job description

Req ID: JR102788 Process Engineer

Our vision is to transform how the world uses information to enrich life for all.

Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.

Will be responsible for starting up, developing, and optimizing processes to improve product quality and reliability, working on process yield improvement, cost reduction, productivity improvement, and risk management as well as resolving manufacturing line problems. This position will identify, diagnose and resolve process-related problems by applying failure analysis, FMEA, 8D, or SPC methodology. Additional responsibilities include coordinating and carrying out the process, equipment, and material evaluation/optimization to implement changes at the process step, leading and participating in yield improvement and cost reduction activities, handling new process baseline qualifications and managing, auditing, and liaising with material suppliers to achieve quality, cost and risk management objectives. Establish and improve process conditions and technology. Upgrade process capability and reduce production cost. Establish and modify process management projects. Set up process parameters for a variety of semiconductor equipment. Evaluation, promotion, and planning of new equipment / materials. Abnormal analysis and improvement. Maximizes yield by working on tools, the process, or wafer fabrication recipes. Troubleshoots wafer fabrication problems and performs root cause analysis. Works with other process areas to understand and control process deviations. Long-term investigation of defect issues may require extensive work with shift engineering and other functional areas. Evaluates products to ensure they meet the required design and performance specifications. Conducts research to assess process adjustment requirements and recommends process improvements or equipment changes needed to efficiently manufacture new product or part types.

Employer will accept a Master’s degree in Chemical Engineering, Electrical Engineering, Material Science, Mechanical Engineering or related field and 1 year of experience in experience in the job offered or in a related occupation. Position requires:

  • 1. Process Engineering;
  • 2. Semiconductor Physics;
  • 3. Data Analytics;
  • 4. Data Mining;
  • 5. Statistic Process control;
  • 6. Project management.

The US base salary range that Micron Technology, Inc. estimates it could pay for this full-time position is $112,507.00- $139,000.00. For additional pay & benefits information, please refer to the requisition at Micron.com/careers

Job Profile(s):

FAB Engineer 2

Relocation Level: TBD

Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on Benefits | Micron Technology, Inc

Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.

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