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Statistical Process Control Engineer Jobs in Santa Clarita, CA

Manufacturing Engineer

Los Angeles, CA ยท On-site

$80 - $100/hr

Bachelor's in Engineering (Mechanical, Manufacturing, Industrial or equivalent). * 2+ years ... Familiarity with Lean manufacturing, Six Sigma, statistical process control (SPC). * Experience in ...

Manufacturing Engineer

Los Angeles, CA ยท On-site

$125K - $145K/yr

Bachelor's in Engineering (Mechanical, Manufacturing, Industrial or equivalent). * 2+ years ... Familiarity with Lean manufacturing, Six Sigma, statistical process control (SPC). * Experience in ...

Semiconductor Process Engineer

Camarillo, CA ยท On-site

$113K - $151K/yr

Join Teledyne Imaging Sensors as a Semiconductor Process Engineer! Are you ready to launch your ... Experience with DOE, statistical analysis, and manufacturing process control * Strong communication ...

Showing results 41-60

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:

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.

Software Engineering Manager - Precision Measurement Systems

Teradyne

Agoura Hills, CA โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 20 hours ago


Job description

We are the global test and automation specialists, powering next-generation technologies through sophisticated solutions. Behind every electronic device you use, Teradyne's test technology ensures your device works right the first time, every time! Our portfolio of automation solutions help manufacturers to develop and deliver products quickly, efficiently and cost-effectively. Together,ย Teradyneย companies deliver manufacturing automation across industries and applications around the world!

We attract, develop, and retain a high-performance workforce, comprised of people with diverse backgrounds and a shared drive for excellence. We strive to foster a positive and inclusive work environment that helps employees, and communities, thrive.

Our Purpose

TERADYNE, where experience meets innovation and driving excellence in every connection. We are fueled by creativity and diversity of thought and in our workforce. Our employees are supported to innovate and learn something new every day.

We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team - one that makes better decisions, drives innovation and delivers better business results.

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Opportunity Overview

This engineering leadership role supports Teradyne's Precision Electronics Calibration team, leading the work that turns precision electronics capability into repeatable, production-ready measurement accuracy across digital, DC, and AC/RF measurement instruments used within automated test platforms. The position directly affects instrument performance, system uptime, manufacturing throughput, product quality, and customer confidence. This leader will help scale calibration capability across platforms while improving accuracy, reducing calibration time, and strengthening manufacturing readiness.

  • Lead and develop a team of hardware and software-oriented calibration engineers, setting clear priorities, technical direction, and delivery expectations.
  • Develop the calibration software and algorithm roadmap for digital, DC, and AC/RF measurement precision electronics used in SOC test systems.
  • Collaborate with hardware, software, manufacturing, quality, and product teams to ensure calibration methods support product requirements, compliance expectations, and customer use cases.
  • Build automated calibration algorithms that improve measurement accuracy, reduce calibration cycle time, and support scalable manufacturing deployment.
  • Support integration of calibration routines into Teradyne's IG-XL test software environment and related maintenance software workflows, including C#-based workflows and supporting automation.
  • Partner across teams to use calibration data, statistical process control, and failure trends to identify systemic improvements, reduce downtime, and improve first-attempt success.
  • Mentor engineers while promoting engineering rigor, accountability, continuous improvement, and practical innovation.

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All About You

We seek individuals who share our passion and determination. Our commitment to customer success drives us to go the extra mile. If you're ready to join us in this mission, take a closer look at the minimum criteria for the position.

  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or equivalent experience.
  • 8+ years of relevant engineering experience, including experience leading engineering teams or technical projects that deliver production-quality software, algorithms, test capability, or instrumentation solutions.
  • Practical understanding of electrical circuit design, calibration, automated test equipment, semiconductor test, high-precision measurement systems, or related domains.
  • Software fluency sufficient to guide algorithm development, automation, debugging, and integration in environments such as C#, C/C++, Python, IG-XL, or similar test software frameworks.
  • Experience collaborating across hardware, software, manufacturing, quality, and product teams while communicating clearly with technical and non-technical stakeholders.
  • Ability to mentor engineers, improve engineering processes, and develop repeatable methods that scale beyond individual contribution.
  • Strong leadership, prioritization, problem-solving, and communication skills.
  • Preferred: Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related discipline.
  • Preferred: Experience with SOC test systems, Automated Test Equipment (ATE) platforms, RF/AC, DC precision electronics, or digital instrument calibration.
  • Preferred: Familiarity with statistical process control, data analytics, predictive maintenance, Six Sigma methods, ISO, NIST, or other calibration and quality standards.

We are only considering candidates local to position location and are unable to provide relocation for this position.

This position is not eligible for visa sponsorship.

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Compensation:

The base salary range for this role is $199,600-$319,400. This range is a good faith estimate, and the amount of base salary will correspond with experience and skill set. This range can also fluctuate depending on demand and location.

Incentive Plan: This job is eligible for discretionary bonus(es) based on financial performance.

Benefits:

Teradyne offers a variety of robust health and well-being benefit programs, including medical, dental, vision, Flexible Spending Accounts, retirement savings plans, life and disability insurance, paid vacation & holidays, tuition assistance programs, and more. Please click here to see details.

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