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Statistical Process Control Engineer Jobs in Boston, MA

GreenKiss Staffing Solutions, Inc.

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Process Control Specialist

Lynn, MA · On-site

$17 - $18/hr

Working knowledge of Statistical Process Control concepts, principles, and calculations. * Ability to prioritize, identify problems, and seek solutions, as well as follow up and follow through on set ...

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All JobsStatistical Process Control Engineer JobsStatistical Process Control Engineer Jobs in Boston, MA

Statistical Process Control Engineer information

See Boston, MA salary details

$57K

$107.3K

$159.7K

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

As of Jul 23, 2026, the average yearly pay for statistical process control engineer in Boston, MA is $107,291.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,000.00 and $126,600.00 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, and why are they important?

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 Boston, MA? For Statistical Process Control Engineer jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Statistical Process Control Engineer jobs in Boston, MA look for? The top searched job categories for Statistical Process Control Engineer jobs in Boston, MA are:
Statistical Process Control Engineer jobs near you
Infographic showing various Statistical Process Control Engineer job openings in Boston, MA as of June 2026, with employment types broken down into 54% Full Time, 36% Part Time, 8% Contract, and 2% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $107,291 per year, or $51.6 per hour.
Contamination Control Engineer

Contamination Control Engineer

IPG Photonics

Marlborough, MA • On-site

Full-time

Posted 28 days ago

IPG Photonics rating

8.2

Company rating: 8.2 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

107th of 433 rated machine equipment manufacturers

Job description

IPG Photonics is revolutionizing the laser industry as the pioneering developer and leading producer of fiber lasers and amplifiers. Headquartered in Marlborough, MA, IPG has over 4,800 employees in more than 30 locations around the world. We aspire to work together with our employees and customers to apply light in ways that improve life.

Our mission is to develop innovative laser solutions to make the world a better place. To accomplish this mission, we are committed to attracting and retaining the best talent and an engaged and thriving workforce that drives a sustainable future for our company and society.

Working at IPG Photonics you can expect challenging projects, a motivating and friendly environment, and workinghand-in-hand with skilled teams of software and hardware engineers.

Job Summary

We are seeking a highly experienced engineer with a strong foundation in chemistry to lead contamination control and manufacturing process development for deep-ultraviolet (DUV) laser systems. This role requires deep expertise in photochemistry, surface chemistry, and contamination mechanisms that impact the performance, reliability, and lifetime of DUV optical systems. The ideal candidate will have hands-on experience diagnosing and mitigating chemically driven degradation in high-energy UV environments.

This is a technically demanding role with significant influence on materials selection, manufacturing process development, and long-term system reliability.

Key Responsibilities

  • Lead and advance contamination control strategies for DUV laser manufacturing
  • Analyze and mitigate photochemical and surface-driven degradation mechanisms affecting optics, coatings, crystals, and surrounding materials
  • Evaluate and select materials, including polymers, metals, adhesives, coatings, solvents, and cleaning agents for compatibility with deep-UV exposure
  • Develop and qualify cleaning, passivation, and handling processes based on chemical and surface-science principles
  • Lead root-cause analysis of DUV-induced failures and contamination-related issues
  • Model and experimentally validate contamination transport, adsorption/desorption, and photo-induced reactions in DUV environments
  • Collaborate closely with R&D teams to translate laboratory-scale DUV solutions into robust manufacturing processes
  • Define contamination-control specifications, cleanliness requirements, and acceptance criteria
  • Support supplier qualification, engagement, and audits related to chemical cleanliness and material compatibility
  • Mentor junior engineers and serve as a subject-matter expert in DUV contamination control and chemistry
  • Advanced degree in Chemistry, Chemical Engineering, Materials Science, or a related field
  • Deep understanding of photochemistry, surface chemistry, and molecular contamination under deep-UV irradiation
  • Proven experience identifying and resolving contamination-driven performance or lifetime limitations in optical or laser systems
  • Strong knowledge of organic and inorganic contamination sources, outgassing, adsorption/desorption, and UV-induced chemical reactions
  • Experience working in contamination-sensitive environments such as cleanrooms or precision optics manufacturing
  • Familiarity with cleaning processes, contamination-control methods, and handling procedures for optical and laser components
  • Hands-on experience with DUV systems operating at 266 nm or shorter wavelengths in manufacturing, process engineering, or applied research environments
  • Strong analytical and problem-solving skills, with the ability to connect chemical mechanisms to system-level behavior
  • Experience with Failure Mode and Effects Analysis (FMEA)
  • Experience with surface-analysis and contamination-diagnostics tools
  • Proficiency in Statistical Process Control (SPC) methodologies and statistical analysis software
  • Background in reliability engineering for DUV optical systems preferred
  • Experience defining cleanliness standards for high-energy UV or photolithography-related applications preferred

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