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Statistical Process Control Spc Jobs (NOW HIRING)

Oclaro

Senior Wafer Process Engineer

San Jose, CA

$87K - $125K/yr

Develop and maintain documentation and statistical process control (SPC) charts appropriate to a wafer manufacturing Fab. * Data Analysis and correlation of defects with process parameters across ...

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 ...

Sanhua

Quality Engineer

Springdale, AR · On-site

$63K - $82K/yr

Lead the implementation and analysis of Statistical Process Control (SPC) to monitor process stability and capability. * Conduct Layered Process Audits (LPA) to ensure strict adherence to defined ...

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 ...

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 ...

Prolim Global

Dimension Control Technician 3

Palmdale, CA · On-site

$38 - $40/hr

... systems. • Statistical Process Control (SPC) experience. • Aircraft tooling and assembly support experience. Primary Skills • Dimension Control • Aerospace Tooling • Jig & Fixture ...

Brose

Production Quality Coordinator

New Boston, MI · On-site

Apply DMAIC (Define, Measure, Analyze, Improve, Control) and Six Sigma methodology, based on statistical tools such as Pareto Chart, Statistical Process Control (SPC), Process Capability (Cpk ...

Prosum Inc.

Sr. Quality Engineer (on-site)

San Antonio, TX · On-site

$75K - $102K/yr

This role is responsible for driving quality management processes, statistical process control (SPC), root cause analysis, corrective actions, and customer quality initiatives while ensuring ...

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Statistical Process Control Spc information

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$52.5K

$98.8K

$147K

How much do statistical process control spc jobs pay per year?

As of Jul 22, 2026, the average yearly pay for statistical process control spc in the United States is $98,759.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,500.00 and $116,500.00 per year, depending on experience, location, and employer.

What are the 7 tools of SPC?

The 7 tools of Statistical Process Control (SPC) are used by SPC specialists to monitor and improve processes. They include the Pareto chart, cause-and-effect diagram, control chart, histogram, scatter diagram, flowchart, and check sheet. These tools help identify variations, root causes, and process stability in quality management.

What are the key skills and qualifications needed to thrive as a Statistical Process Control (SPC) Specialist, and why are they important?

To thrive as a Statistical Process Control (SPC) Specialist, you need a solid background in statistics, quality management, and process improvement, usually supported by a degree in engineering, mathematics, or a related field. Familiarity with statistical software (such as Minitab or JMP), control charting, and Six Sigma or other quality certifications is typically required. Attention to detail, analytical thinking, and effective communication skills help SPC specialists interpret data and drive process improvements across teams. These skills ensure accurate process monitoring, reduce variability, and promote consistent product quality in manufacturing or production environments.

What is the role of statistical process control SPC?

Statistical Process Control (SPC) is a method used by professionals such as SPC specialists to monitor and control manufacturing processes through statistical analysis. It involves collecting data, using control charts, and identifying variations to ensure product quality and process stability. SPC helps in reducing defects and improving efficiency by enabling timely corrective actions.

What is Statistical Process Control (SPC)?

Statistical Process Control (SPC) is a method used in manufacturing and other industries to monitor and control processes through the use of statistical tools. By collecting and analyzing data from production processes, SPC helps identify variations that could indicate problems or areas for improvement. Common tools include control charts, process capability analysis, and histograms. The goal of SPC is to ensure that processes operate efficiently, produce consistent quality, and reduce waste or defects.

What are some common challenges faced by Statistical Process Control (SPC) Specialists when implementing new control systems?

SPC Specialists often encounter challenges such as resistance to change from production teams, ensuring accurate data collection, and integrating new control systems with existing manufacturing processes. It can require significant effort to train staff on proper data recording and interpretation of control charts. Collaborating closely with operators and quality engineers is essential to address these challenges and drive continuous improvement in process quality.

What is the difference between Statistical Process Control Spc vs Quality Control Technician?

AspectStatistical Process Control SpcQuality Control Technician
CertificationsASQ SPC Certification, Six SigmaASQ CQI Certification, Six Sigma
Work EnvironmentManufacturing, production lines, quality departmentsManufacturing plants, inspection areas, quality labs
Primary FocusMonitoring and analyzing process data to control qualityInspecting products, identifying defects, ensuring quality standards

While both roles focus on quality, Statistical Process Control Spc specialists analyze data to optimize processes, whereas Quality Control Technicians perform inspections and identify defects. SPC professionals develop statistical methods to prevent issues, while QC Technicians verify product quality at various stages.

Is SPC still relevant today?

Statistical Process Control (SPC) remains highly relevant for quality management and process improvement in manufacturing and other industries. It uses tools like control charts and requires skills in data analysis, making it essential for maintaining consistent product quality and reducing variability in modern production environments.

What are the 7 rules in a SPC chart?

The 7 rules in a Statistical Process Control (SPC) chart are used to identify non-random patterns indicating process variation. They include points outside control limits, runs of consecutive points above or below the centerline, trends of increasing or decreasing points, and other patterns such as cycles or shifts. These rules help SPC professionals, including those in quality control roles, detect when a process is out of control and requires investigation.
More about Statistical Process Control Spc jobs
What job categories do people searching Statistical Process Control Spc jobs look for? The top searched job categories for Statistical Process Control Spc jobs are:
Statistical Process Control Spc jobs near you
Infographic showing various Statistical Process Control Spc job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $98,759 per year, or $47.5 per hour.
Senior Wafer Process Engineer

Senior Wafer Process Engineer

Lumentum Operations LLC

San Jose, CA • On-site

$87K - $125K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

It's fun to work in a company where people truly BELIEVE in what they're doing!
We're committed to bringing passion and customer focus to the business.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
Senior Manufacturing Process Engineer (Mfg Waferfab)
We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply!
Our people make all the difference in our success.
We are seeking a bright Process Engineering professional to join our talented team in our San Jose Fab. If you have a passion for learning and solving problems as well as an educational background that includes materials science, physics, electrical engineering or directly related disciplines; or hands-on experience that includes wafer fabrication process and equipment; -- this role could be just what you seek.
What Will You Do:
  • This role involves developing and maintaining processes for the fabrication of compound semiconductor wafers. It requires close collaboration with cross-functional teams in Process Development, Integration, and Product Engineering to ensure the seamless transfer of advanced processes into production. Additionally, this position will support the Product Engineering team with First Pass Yield and Failure Analysis to enhance the performance and yield of photonic devices. A strong understanding and practical experience in wafer fab processing are crucial, particularly in Photolithography and Plating, as well as in Sputtering thin film deposition, RIE, PECVD, and Wet Etch.
  • Design, develop and qualify different area of Mfg. Process including but not limited to Photolithography, Plating, and Sputtering thin film deposition processes.
  • Sustain processes with emphasis on statistical process control, maintain yields and improve yields to targets.
  • Improve manufacturability and defect reduction for different process areas of the wafer fab by working closely with various process engineers.
  • Develop and maintain documentation and statistical process control (SPC) charts appropriate to a wafer manufacturing Fab.
  • Data Analysis and correlation of defects with process parameters across different process areas of the fab.
  • Process development and sustaining engineering for GaAs/InP wafer processes for existing products.
  • Provide detailed engineering analysis and documentation to support process deployment and ramp into volume manufacturing.

Requirements:
  • The ideal candidate should possess a BS degree along with over 8 years of relevant experience in a clean room manufacturing environment. An MS or PhD in materials science, electrical engineering, optics, solid state physics, or a similar field is preferred. Additionally, having over 3 years of practical experience in a production wafer fabrication facility and high-volume manufacturing is highly desirable.
  • Familiarity with fabricating III-V compound semiconductor devices, such as edge-emitting lasers, vertical surface-emitting lasers, photodetectors, and integrated photonics devices, is advantageous.
  • Experience with statistical data analysis tools like JMP and Minitab is required, and proficiency in Python is considered an advantage.
  • Proven ability to execute projects independently
  • Strong collaboration and communication skills are essential for effectively interacting with Process Engineering, Manufacturing, Design, Production Engineering, and other cross-functional project teams.
  • Experience with process design of experiments (DOE), statistical process control (SPC) rules, control charts, and various aspects of manufacturing and operations is required.
  • Proven ability to independently handle projects and adapt to a flexible schedule for 24/7 fab manufacturing support.

Pay Range:
P40-USA-1 :$87,550.00 - $125,050.00
Disclaimer:
Final base salary for the successful candidate will depend on multiple factors, including but not limited to, job location, where work will be performed, qualifications, work history and relevant experience. With our continual goal of making Lumentum a best place to work for our employees, we strive to offer employees competitive total compensation packages, which may include annual bonus, commission for certain sales roles, equity, and health and welfare benefits.

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