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Statistical Process Control Engineer Jobs in Los Angeles, CA

This engineer seeks to eliminate inefficiencies and constantly questions the status quo while ... DOE), Statistical Process Control (SPC), Analysis of Variance (ANOVA), Regression Analysis, and ...

Process Development Engineer

Hawthorne, CA · On-site

$110K - $135K/yr

This engineer seeks to eliminate inefficiencies and constantly questions the status quo while ... DOE), Statistical Process Control (SPC), Analysis of Variance (ANOVA), Regression Analysis, and ...

Process Development Engineer

Hawthorne, CA · On-site

$110K - $135K/yr

This engineer seeks to eliminate inefficiencies and constantly questions the status quo while ... DOE), Statistical Process Control (SPC), Analysis of Variance (ANOVA), Regression Analysis, and ...

Showing results 21-40

Statistical Process Control Engineer information

See Los Angeles, CA salary details

$56.6K

$106.4K

$158.4K

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

As of Aug 18, 2026, the average yearly pay for statistical process control engineer in Los Angeles, CA is $106,413.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,400.00 and $125,500.00 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 are popular job titles related to Statistical Process Control Engineer jobs in Los Angeles, CA?

For Statistical Process Control Engineer jobs in Los Angeles, CA, the most frequently searched job titles are:

What job categories do people searching Statistical Process Control Engineer jobs in Los Angeles, CA look for?

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

What cities near Los Angeles, CA are hiring for Statistical Process Control Engineer jobs?

Cities near Los Angeles, CA with the most Statistical Process Control Engineer job openings:

Infographic showing various Statistical Process Control Engineer job openings in Los Angeles, CA as of July 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 100% In-person job distribution, with an average salary of $106,413 per year, or $51.2 per hour.

$140K - $180K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 28 days ago


Job description

SENIOR PROCESS ENGINEER

Mesh Optical Technologies was founded on the belief that optical photons will be at the center of advanced technologies in the coming century. Making advanced technology ubiquitous means building at scale, and that's exactly what we're doing at Mesh.

Our products require semiconductor-grade packaging processes-bumping, dicing, precision bonding, optical alignment, and automated assembly-executed at yield levels and volumes that demand real process engineering discipline. We are seeking a Senior Process Engineer to own the development and qualification of these processes from R&D through production ramp, and to help build high-volume semiconductor packaging process engineering in the US.

RESPONSIBILITIES

  • Own development of wafer prep and die-level packaging processes: bumping, dicing, sub-micron precision bonding, sub-micron optical alignment, flip-chip die bonding, wire-bonding, dispense, fully-automated final assembly and associated materials
  • Own tool selection, materials selection, recipe development, and statistical process control limits to transfer processes from R&D to volume production
  • Translate package and product designs into high volume production processes and collaborate with electrical, mechanical, and photonic circuit design teams to design-for-manufacturing
  • Design production processes from the lab bench through proof of concept and production ramp
  • Establish process limits and feedback process constraints as design rules to design teams
  • Characterize parts with x-ray, FIB cut/SEM, CSAM, and die shear testing, closing the loop with electrical, mechanical, and photonic circuit design teams
  • Act as the technical owner for failure-analysis findings, root cause analysis, and corrective actions
  • Push process yields above 99.9% and thermal-cycle reliability for years-long qualification
  • Provide technical mentorship as we work to build up high-volume semiconductor packaging process engineering in the US

QUALIFICATIONS

  • MS or PhD in Materials Science, Chemical Engineering, Electrical Engineering, or similar
  • Extensive (MS + 2 years) hands-on semiconductor process-development experience
  • Strong troubleshooting skills and hands-on experience in semiconductor packaging, assembly, or advanced manufacturing environments
  • Demonstrated success qualifying processes such as flip-chip bonding, wafer processing, plasma cleaning, and wire bonding
  • Expertise in statistical quality control and process improvement methodologies, with experience leading internal audits and driving continuous improvement
  • Comfortable working in a cleanroom or controlled manufacturing environment with cross-functional engineering teams
  • Willingness to work extended hours and weekends as needed

PREFERRED EXPERIENCE

  • 5+ years of fab or wafer level packaging experience (e.g. lithography, etch, CVD, CMP, solder bumping, wafer dicing)
  • Experience integrating photonic devices into complex opto-electronic packages, sub-m die-bonding, wafer prep, and materials used in advanced packaging

COMPENSATION AND BENEFITS:

Pay range: 
Senior Process Engineer: $140,000.00 - $180,000.00/per year

Title and base salary are determined on a case by case basis commensurate with experience and merit.

In addition to base salary, compensation for this role includes:

  • Eligibility for long-term incentives including company stock options and discretionary bonuses awarded for exceptional achievements.
  • Comprehensive medical, vision, and dental insurance with significant cost covered by the company for yourself and dependents.
  • Paid parental leave and flexible PTO (3 weeks accrued vacation and 10 company holidays per year).
  • 401(k) retirement plan access.
  • Relocation assistance to sunny Los Angeles.