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Statistical Process Control Engineer Jobs in Santa Clarita, CA

Semtech

Backend Process Engineer

Alhambra, CA · On-site

$100K - $135K/yr

Establish robust process windows, recipes, and control limits for backend modules * Maintain stable ... Proficiencyin SPC, DOE, and statistical analysis * Ability to work across cross-functional ...

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All JobsStatistical Process Control Engineer JobsStatistical Process Control Engineer Jobs in Santa Clarita, CA

Statistical Process Control Engineer information

See Santa Clarita, CA salary details

$53.3K

$100.2K

$149.1K

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

As of Sep 7, 2026, the average yearly pay for statistical process control engineer in Santa Clarita, CA is $100,197.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,600.00 and $118,200.00 per year, depending on experience, location, and employer.

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 job categories do people searching Statistical Process Control Engineer jobs in Santa Clarita, CA look for?

The top searched job categories for Statistical Process Control Engineer jobs in Santa Clarita, CA are:

What cities near Santa Clarita, CA are hiring for Statistical Process Control Engineer jobs?

Cities near Santa Clarita, CA 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 Santa Clarita, CA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 13% Part Time, 12% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $100,197 per year, or $48.2 per hour.

Quality Control Manager

LANCE CAMPER MFG. CORP.

Lancaster, CA • On-site

Full-time

Posted 17 days ago

Job description

On-Site

Lancaster, CA


We are seeking an experienced and detail-oriented Quality Control Manager to oversee quality control activities and ensure that products, materials, processes, and operations meet established company, industry, and regulatory standards and requirements.

The Quality Control Manager will lead quality control initiatives, develop and maintain quality procedures, monitor performance, investigate quality issues, and work closely with production, engineering, operations, purchasing, and other departments to identify root causes and implement effective corrective actions. The ideal candidate is a strong leader with excellent analytical, organizational, and problem-solving skills.


Minimum Qualifications

  • Bachelor’s degree in quality, Engineering, Manufacturing, Science, Business, or a related field; equivalent education and experience may be considered.
  • 5+ years of experience of increasing responsibility in quality control, quality assurance, manufacturing, and production.
  • Previous supervisory or management experience in a quality-related function.
  • Strong knowledge of quality control principles, inspection methods, and quality management systems.
  • Experience with root-cause analysis, corrective and preventive actions, and continuous improvement.
  • Strong analytical, problem-solving, organizational, and communication skills.
  • Ability to interpret technical specifications, drawings, procedures, standards, and other quality documentation.
  • Proficiency with Microsoft Office and quality-related software or systems.


Preferred Qualifications

  • Experience in manufacturing, marine/boat or recreational vehicles.
  • ASQ certification such as Certified Quality Engineer (CQE), Certified Quality Auditor (CQA), or Certified Quality Inspector (CQI).
  • Lean, Six Sigma, or continuous improvement certification.
  • Experience with ERP/MRP, QMS, statistical analysis, or inspection management systems.
  • Experience developing and implementing quality procedures, inspection plans, and process controls.
  • Experience conducting internal, customer, or supplier audits.
  • Strong knowledge of statistical process control (SPC), measurement systems, and quality metrics.


Responsibilities

  • Lead and manage day-to-day QC activities and personnel.
  • Establish, implement, and maintain quality control procedures, standards, and inspection processes.
  • Monitor production, materials, products, and processes for compliance with established requirements.
  • Investigate customer complaints, nonconformances, defects, and process failures.
  • Lead root-cause analysis and develop corrective and preventive actions.
  • Coordinate containment, corrective action, and follow-up activities.
  • Promote a culture of quality, accountability, continuous improvement, and compliance.
  • Identify trends and opportunities for continuous improvement.
  • Work with production, engineering, operations, and other departments to resolve quality issues.
  • Perform other quality-related duties and projects as assigned.


Physical Demands and Work Environment

  • Ability to work indoors or outdoors.
  • Ability to bend, stoop, kneel and squat.
  • Ability to work in noisy and dusty conditions.
  • Ability to work in hot and cold environments.
  • Must be able to wear required personal protective equipment (PPE) when entering shop or service areas.


The physical and environmental demands described here are representative of those an employee can encounter while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.