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Statistical Process Control Jobs in Long Beach, CA

Prosum Inc.

Implant Engineer

Newport Beach, CA · On-site

Apply Statistical Process Control (SPC) methodologies to monitor and improve manufacturing processes. * Collaborate with process, device, integration, yield, and manufacturing engineering teams to ...

Alcon3Pl

Quality Control - Anaheim

Anaheim, CA

Job Responsibilities: • Familiarize with department policies, procedures, methods, and techniques. • Use comparator and Statistical Process Control (SCP) to test parts. • Create and read SPC ...

Mesh Optical Technologies

Process Engineer

Gardena, CA · On-site

$90K - $140K/yr

Familiarity with statistical process control and root cause analysis methods * 2+ years of experience in process development or yield improvement for optical, photonic, or microelectronic devices ...

Mesh Optical Technologies

Process Engineer

Gardena, CA

$90K - $140K/yr

Familiarity with statistical process control and root cause analysis methods * 2+ years of experience in process development or yield improvement for optical, photonic, or microelectronic devices ...

SpaceX

Process Development Engineer

Hawthorne, CA

$110K - $135K/yr

Knowledge of Statistical Analysis Tools such as Design of Experiments (DOE), Statistical Process Control (SPC), Analysis of Variance (ANOVA), Regression Analysis, and Minitab (or similar) * Project ...

Valence

Process Engineer

Lynwood, CA · On-site

$49K - $70K/yr

Use Statistical Process Control tools (e.g. Failure Mode & Effects Analysis, Pareto, etc.) to evaluate potential risk when setting up new processes or reviewing changes to current processes.

SpaceX

Process Development Engineer

Hawthorne, CA · On-site

$110K - $135K/yr

Knowledge of Statistical Analysis Tools such as Design of Experiments (DOE), Statistical Process Control (SPC), Analysis of Variance (ANOVA), Regression Analysis, and Minitab (or similar) * Project ...

SpaceX

Process Development Engineer

Hawthorne, CA · On-site

$110K - $135K/yr

Knowledge of Statistical Analysis Tools such as Design of Experiments (DOE), Statistical Process Control (SPC), Analysis of Variance (ANOVA), Regression Analysis, and Minitab (or similar) * Project ...

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All JobsStatistical Process Control JobsStatistical Process Control Jobs in Long Beach, CA

Statistical Process Control information

See Long Beach, CA salary details

$88.8K

$154.9K

$261.8K

How much do statistical process control jobs pay per year?

As of Jul 26, 2026, the average yearly pay for statistical process control in Long Beach, CA is $154,873.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,400.00 and $168,200.00 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 to monitor and analyze process variation. They include the Pareto chart, cause-and-effect diagram, control chart, histogram, scatter diagram, flowchart, and check sheet. These tools help SPC professionals identify issues, improve quality, and maintain consistent processes.

What are the typical daily responsibilities for someone working in Statistical Process Control?

In a Statistical Process Control role, your day-to-day tasks often include collecting and analyzing production data, generating control charts, and identifying trends or deviations in process performance. You will frequently collaborate with production teams and engineers to investigate causes of process variation and recommend improvements. Preparing detailed reports, conducting root cause analyses, and supporting quality audits are also common aspects of the job. This role requires a blend of technical analysis and hands-on engagement with cross-functional teams to ensure consistent product quality and efficient manufacturing operations.

What does a process control specialist do?

A process control specialist monitors and analyzes manufacturing processes to ensure they operate within specified quality and efficiency standards. They use statistical tools like control charts and software to identify variations, troubleshoot issues, and implement improvements to maintain consistent product quality. Certification in statistical process control (SPC) and familiarity with data analysis tools are often required for this role.

What are the key skills and qualifications needed to thrive in the Statistical Process Control position, and why are they important?

To thrive in Statistical Process Control, a strong background in statistics, data analysis, and industrial process optimization—often supported by a degree in engineering, mathematics, or related fields—is essential. Familiarity with statistical software (such as Minitab, JMP, or SPSS), process monitoring tools, and industry certifications like Six Sigma are commonly required. Excellent problem-solving, attention to detail, and effective communication skills set standout professionals apart in this role. These abilities are crucial for accurately monitoring production quality, driving continuous improvement, and ensuring process stability in manufacturing environments.

What does statistical process control do?

Statistical Process Control (SPC) is used by professionals in quality management to monitor and control manufacturing processes through statistical methods. It involves collecting data, analyzing process variation, and using control charts to ensure products meet quality standards, helping to identify issues early and improve consistency.

What is a Statistical Process Control job?

A Statistical Process Control (SPC) job involves monitoring and improving manufacturing or business processes using statistical methods. SPC professionals collect and analyze data to detect variations, identify root causes, and ensure process stability and efficiency. They use control charts, process capability analysis, and other tools to maintain quality standards. Their goal is to reduce defects, minimize waste, and improve overall performance.

What is the highest paying job with a statistics degree?

The highest paying jobs with a statistics degree often include roles such as data science director, quantitative analyst, or actuarial director, which can offer six-figure salaries. These positions typically require advanced skills in statistical modeling, programming, and experience in finance, insurance, or technology industries.
What are popular job titles related to Statistical Process Control jobs in Long Beach, CA? For Statistical Process Control jobs in Long Beach, CA, the most frequently searched job titles are:
What job categories do people searching Statistical Process Control jobs in Long Beach, CA look for? The top searched job categories for Statistical Process Control jobs in Long Beach, CA are:
What cities near Long Beach, CA are hiring for Statistical Process Control jobs? Cities near Long Beach, CA with the most Statistical Process Control job openings:
Statistical Process Control jobs near you
Infographic showing various Statistical Process Control job openings in Long Beach, CA as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $154,873 per year, or $74.5 per hour.
Implant Engineer

Implant Engineer

Prosum Inc.

Newport Beach, CA • On-site

Other

Posted 14 days ago

Job description

Job Description
Implant Process EngineerSalary Range: $100k to $145k Position Summary
We are seeking an experienced Implant Process Engineer to support semiconductor manufacturing operations through the development, optimization, and sustainment of ion implantation and epitaxial growth processes. This role is responsible for driving process stability, equipment performance, yield improvement, and continuous process optimization while collaborating with cross-functional engineering and manufacturing teams.
The ideal candidate combines strong semiconductor process knowledge with analytical problem-solving skills and hands-on experience supporting advanced wafer fabrication equipment in a high-volume manufacturing environment.
Key Responsibilities
  • Develop, optimize, and sustain ion implantation and epitaxial (EPI) process technologies within a semiconductor manufacturing environment.
  • Support process qualification, equipment characterization, and long-term process stability initiatives.
  • Troubleshoot complex process and equipment issues impacting manufacturing performance, yield, and product quality.
  • Analyze process and electrical data to identify trends, determine root cause, and implement corrective actions.
  • Apply Statistical Process Control (SPC) methodologies to monitor and improve manufacturing processes.
  • Collaborate with process, device, integration, yield, and manufacturing engineering teams to develop robust process solutions.
  • Support equipment qualifications, process improvements, recipe optimization, and continuous improvement initiatives.
  • Investigate yield excursions and evaluate equipment-related process impacts.
  • Partner with manufacturing technicians to resolve daily production issues, prioritize activities, and support held-lot disposition.
  • Analyze E-test and process data to disposition non-conforming wafers and recommend corrective actions.
  • Develop and maintain process documentation, operating procedures, specifications, and engineering standards.
  • Participate in cross-functional problem-solving activities to improve manufacturing performance and product quality.
  • Support failure analysis efforts through the development of analytical methods and process improvements.
  • Evaluate opportunities for process capability enhancements and capital equipment improvements.
Required Qualifications
  • Bachelor's degree in Electrical Engineering, Materials Science, Physics, Chemistry, Chemical Engineering, or a related technical discipline.
  • 1+ years of semiconductor process engineering experience in wafer fabrication or advanced manufacturing.
  • Hands-on experience supporting ion implantation equipment and semiconductor process technologies.
  • Experience with epitaxial (EPI) growth processes and related manufacturing equipment.
  • Working knowledge of CMOS, Bipolar, BiCMOS, SiGe, or similar semiconductor device technologies.
  • Experience with Statistical Process Control (SPC), process monitoring, and yield improvement methodologies.
  • Strong analytical and troubleshooting skills with the ability to perform root cause analysis using process and manufacturing data.
  • Experience utilizing engineering software and data analysis tools such as JMP, Excel, MES, or comparable manufacturing systems.
  • Ability to interpret process, metrology, and electrical test data to drive process improvements.
  • Strong written and verbal communication skills with the ability to present technical findings to engineering and leadership teams.
  • Ability to work effectively in a collaborative, cross-functional manufacturing environment.
Preferred Qualifications
  • Master's degree or Ph.D. in a related engineering or scientific discipline.
  • Experience supporting advanced ion implantation platforms from leading semiconductor equipment manufacturers.
  • Experience with implant recipe development and process optimization.
  • Knowledge of semiconductor metrology, equipment qualification, and process characterization techniques.
  • Experience with high-volume semiconductor manufacturing and continuous improvement initiatives.
  • Familiarity with failure analysis methodologies and advanced data analysis techniques.
Preferred Skills
  • Semiconductor Manufacturing
  • Ion Implantation
  • Epitaxial Growth (EPI)
  • CMOS
  • Bipolar
  • BiCMOS
  • SiGe
  • Statistical Process Control (SPC)
  • Process Engineering
  • Yield Improvement
  • Root Cause Analysis
  • Semiconductor Equipment
  • Process Characterization
  • Metrology
  • JMP
  • Microsoft Excel
  • Manufacturing Execution Systems (MES)
  • Continuous Improvement
  • Wafer Fabrication
  • Cross-Functional Collaboration

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