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Statistical Process Control Engineer Jobs in California

Teledyne FLIR LLC

Process Development Engineer

Goleta, CA · On-site

$90K - $121K/yr

Plan for statistical process control (SPC) practices as appropriate * Evaluate production yield ... Collaborate with device physicists, research technicians, and test engineers to participate in ...

Teledyne

Process Development Engineer

Goleta, CA

$90K - $121K/yr

Plan for statistical process control (SPC) practices as appropriate * Evaluate production yield ... Collaborate with device physicists, research technicians, and test engineers to participate in ...

CivicMinds, Inc.

Position Summary We are seeking an experienced Founding Process Engineer with 5+ years of ... Improve process yield, repeatability, and statistical process control (SPC). * Troubleshoot ...

Teledyne

Process Integration Engineer

Camarillo, CA · On-site

$141K - $189K/yr

... statistical data analysis, and manufacturing process control. * Excellent verbal and written ... Bachelor's degree in engineering, material sciences or chemistry with minimum 5 years of ...

Talnt

Manufacturing Process Engineer

Woodland, CA

$150K - $160K/yr

Manufacturing Process Engineer Woodland, CA | Full-Time | On-Site About the Role: We are seeking an ... Strong knowledge of process validation, IQ, OQ, PQ, DOE, statistical process control, and ...

Acara Solutions

Process Technician

Fremont, CA · On-site

$38.32/hr

... Statistical Process Control (SPC), process monitoring techniques, or engineering data analysis. * Bachelor's degree in Electronics, Materials Science, Computer Science, Chemistry, Physics, or a ...

Teledyne FLIR LLC

Wafer Fab Process Engineer

Goleta, CA · On-site

$90K - $121K/yr

This is the right place for a self-directed, goal-oriented, collaborative engineer. The work is ... Plan for statistical process control (SPC) practices as appropriate * Evaluate production yield ...

Teledyne

Wafer Fab Process Engineer

Goleta, CA · On-site

$90K - $121K/yr

This is the right place for a self-directed, goal-oriented, collaborative engineer. The work is ... Plan for statistical process control (SPC) practices as appropriate * Evaluate production yield ...

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Statistical Process Control Engineer information

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 of data. It involves using control charts and data collection to detect variations, ensuring processes operate consistently and within specified limits. SPC helps improve product quality and reduce defects by identifying and addressing process issues early.

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.

How much do statistical process control engineers make in the US?

Statistical Process Control (SPC) engineers in the US typically earn between $70,000 and $110,000 annually, with the median salary around $85,000. Salaries vary based on experience, industry, location, and certifications such as Six Sigma or quality management training.

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.

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.

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 are popular job titles related to Statistical Process Control Engineer jobs in California? For Statistical Process Control Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Statistical Process Control Engineer jobs in California look for? The top searched job categories for Statistical Process Control Engineer jobs in California are:
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Statistical Process Control Engineer jobs near you
Infographic showing various Statistical Process Control Engineer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.

Dry Etch Process Development Engineer (42024)

TDK Headway Technologies Inc.

Milpitas, CA • On-site

$120K - $177K/yr

Other

Posted 5 days ago

Job description

TITLE: DRY ETCH PROCESS DEVELOPMENT ENGINEER
FLSA STATUS: EXEMPT
REPORTS TO: DIRECTOR, DRY ETCH PROCESS DEVELOPMENT
SUMMARY:
Under the direction of the Director of Dry Etch Process Development, the Dry Etch Process Development Engineer is responsible for the developing and implementing new RIE, IBD, and Ashing processes for next generation magnetic recording heads, including implementing new process control schemes which ensure product manufacturability; designs and conducts experiments, analyzes data, and presents findings; research, selects, and qualifies new tools which improve efficiency and yield. This position is located in Milpitas, California.
ESSENTIAL FUNCTIONS:
  • Develops and implements new dry etch processes (RIE, IBE, and Ashing) for next generation magnetic recording heads
  • Implements new process control schemes or methodologies which ensure product manufacturability
  • Designs and conducts experiments, analyzes data, and develops recommendations for improving performance and yield while reducing scrap
  • Adheres to appropriate timeline for introducing new processes into the manufacturing line
  • Reviews characterization data from FIB, SEM, and TEM tools to conduct root cause analysis and recommend corrective action
  • Partners with other groups and departments, including process and product engineering to develop and deliver products and programs
  • Oversees the work of the Process Technicians to ensure accurate process execution and efficient wafer disposition
  • Partners with Equipment Engineering to research, select, and qualify new RIE tools
  • Adheres to all safety policies and procedures as required
  • Performs other duties of a similar nature or level*

MINIMUM QUALIFICATIONS:
  • Bachelor's degree in Materials Science, Physics, or Electrical Engineering and/or equivalent relevant experience; Master's degree preferred
  • One to three years of experience working in the magnetic recording head, hard disk drive, or semiconductor industry in dry etch process development
  • Experience working in a wafer fab manufacturing environment
  • Experience with Statistical Process Control (SPC)
  • Proficient in the use of Microsoft Office Applications

Knowledge, Skills, and Abilities:
  • Knowledge of semiconductor or HDD industry principles, practices, and techniques
  • Knowledge of wafer fabrication processing techniques, including process development and integration practices
  • Knowledge of Reactive Ion Etching (RIE), IBE, and Ashing principles, practices, and techniques
  • Knowledge of TEM, SEM, and FIB and ability to analyze data from these sources to determine root cause of failure
  • Knowledge and ability to use Microsoft Office applications to create spreadsheets, Word documents, and presentations
  • Knowledge and ability to use Statistical Process Control (SPC) to analyze data, create reports, present findings, and recommend appropriate action
  • Able to communicate effectively, both verbally and in writing, with all levels of contractors, consultants, employees, and management
  • Able to work productively and collaboratively with all levels of employees and management
  • Able to comply with all safety policies and procedures
  • Demonstrated organizational and time management skills
  • Demonstrated problem-solving and trouble shooting skills
  • Flexible and able to prioritize

The annual base salary for this full-time position is between $120,819.00-$177,675.00 + bonus target + benefits. Within the range the individual pay may differ depending on additional factors including job responsibilities, job related knowledge, skills, abilities, education, and experience. The annual base pay range shown is subject to change and may be modified periodically.
WORKING CONDITIONS:
The Dry Etch Process Development Engineer works primarily in an office environment from Monday thru Friday. The schedule may be altered from time-to-time to meet business or operational needs; may travel from site-to-site as needed. May also work in a class 100 ESD sensitive wafer fab manufacturing facility; adheres to required safety and dress standards. May be exposed to hazardous chemicals, fumes, or vapors and excessive noise from time-to-time while in the wafer manufacturing facility; stands and walks; performs various fine grasping movements, bends, and twists; operates a computer and enters information using a keyboard, operates a telephone, and other office equipment. May occasionally be required to push, pull, or lift up to 10 pounds.
Other duties of a similar nature or level are duties that may be required but may not be specifically listed in the job description or posting.
TDK/Headway Technologies, Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, national origin, age, disability, or genetics. Applicants requiring accommodation in order to complete the application process should contact the Headway Human Resources Department.

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