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Statistical Process Control Engineer Jobs in Ann Arbor, MI

Stellantis

Quality Control Engineer

White Lake, MI · On-site

The Quality Control Engineer / Supervisor is responsible for stamping plant product and process control applications utilizing quality control methodologies. The selected candidate is expected to ...

fng

Molding Process Engineer

Fowlerville, MI · On-site

Summary The Process Engineer will take responsibility for all design of processes and assembly ... Knowledge and/or experience in Statistical Process Control * Experience in design for assembly and ...

fng

Molding Process Engineer

Fowlerville, MI · On-site

Summary The Process Engineer will take responsibility for all design of processes and assembly ... Knowledge and/or experience in Statistical Process Control * Experience in design for assembly and ...

fng

Molding Process Engineer

Fowlerville, MI

Summary The Process Engineer will take responsibility for all design of processes and assembly ... Knowledge and/or experience in Statistical Process Control * Experience in design for assembly and ...

Brose

Production Quality Coordinator

New Boston, MI · On-site

One month's experience as Intern, Engineer, or related, applying DMAIC and Six Sigma methodology, based on statistical tools such as Pareto Chart, Statistical Process Control (SPC), and Process ...

Brose

Production Quality Coordinator

New Boston, MI

One month's experience as Intern, Engineer, or related, applying DMAIC and Six Sigma methodology, based on statistical tools such as Pareto Chart, Statistical Process Control (SPC), and Process ...

Flex-N-Gate

Molding Process Engineer

Fowlerville, MI · On-site

Summary The Process Engineer will take responsibility for all design of processes and assembly ... Knowledge and/or experience in Statistical Process Control * Experience in design for assembly and ...

Worthington Steel

Quality Engineer - TWB-Canton, MI

Canton, MI · On-site

$66K - $86K/yr

TWB/Worthington Steel is excited to hire a Quality Engineer to join our team. This role designs ... Collects and performs complex analysis and provides recommendations on statistical process control ...

American Rheinmetall

Senior Quality Engineer

Plymouth, MI · On-site

$84K - $114K/yr

The Senior Quality Engineer supports new product/process development and manufacturing through the ... Applies statistical process control (SPC) tools and methods as required. * Assists qualification of ...

Autokiniton

Control Engineer

Clinton, MI · On-site

$82K - $106K/yr

Autokiniton - Controls Engineer Support the Company's mission, vision, values, and goals in ... process, for manufacturing skilled trades and mentor colleagues. • Coordinate resources to find ...

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Showing results 1-20

All JobsStatistical Process Control Engineer JobsStatistical Process Control Engineer Jobs in Ann Arbor, MI

Statistical Process Control Engineer information

See Ann Arbor, MI salary details

$51.4K

$96.6K

$143.8K

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

As of Jul 27, 2026, the average yearly pay for statistical process control engineer in Ann Arbor, MI is $96,619.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,900.00 and $114,000.00 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 Ann Arbor, MI? For Statistical Process Control Engineer jobs in Ann Arbor, MI, the most frequently searched job titles are:
What job categories do people searching Statistical Process Control Engineer jobs in Ann Arbor, MI look for? The top searched job categories for Statistical Process Control Engineer jobs in Ann Arbor, MI are:
What cities near Ann Arbor, MI are hiring for Statistical Process Control Engineer jobs? Cities near Ann Arbor, MI with the most Statistical Process Control Engineer job openings:
Statistical Process Control Engineer jobs near you
Infographic showing various Statistical Process Control Engineer job openings in Ann Arbor, MI as of June 2026, with employment types broken down into 59% Full Time, 39% Part Time, and 2% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $96,619 per year, or $46.5 per hour.
Quality Control Engineer

Quality Control Engineer

Stellantis

White Lake, MI • On-site

Full-time

Posted 10 days ago

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 130 frontline employees who took The Breakroom Quiz

15th of 44 rated automakers

Job description

Sterling Stamping Plant is currently seeking a Quality Control Engineer / Supervisor to join our Quality team. The Quality Control Engineer / Supervisor is responsible for stamping plant product and process control applications utilizing quality control methodologies. The selected candidate is expected to develop and implement new and sustainable processes in a manufacturing environment. This position offers this elected candidate an opportunity to be an internal part of a company whose focus is to change the automotive landscape and to launch a successful career with a major automotive company known in the industry for style. The Quality team's fast paced dynamic environment is the ideal environment for the entry-level or seasoned engineer to gain exposure to real world challenges and rewarding experiences. Additionally, the selected candidate will gain hands-on experience to develop their business acumen providing a solid foundation and potential to become a future leader. The Quality Control Engineer expert must be a creative problem solver, proactive and steadfast in the identification and resolution vehicle quality.

Specific Responsibilities of the role include but are not limited to:

  • Provide technical leadership in coordinating and directing cross functional teams in the application of quality initiatives to employ root cause analysis, issue resolution and to establish corrective actions
  • Provide supervision necessary to quality inspectors and repair technicians in compliance with engineering and quality standards Enthusiastically learn and support quality principles and tools
  • Learn and apply basic and advanced problem-solving tools and methodologies
  • Analyze quality defect data through stratification and mechanical engineering principles
  • Track and manage quality related issues
  • Champion continuous improvement efforts through the use of Kaizen activities, benchmarking, evaluating others best practices, reviewing lessons learned, etc.
  • Respond to product quality issues utilizing available data
  • Employ the standardization of best practices to ensure quality products
  • Work with internal teams to develop and implement integrated content required to drive growth and maximize customer value
  • Analyze and drive improvement to quality indicators
  • Provide creative thinking to the analysis of data and the identification of new opportunities

Location(s)

35777 Van Dyke, Sterling Heights, Michigan 48312, United States

Requirements

Basic Qualifications:

Bachelor's degree or higher in engineering or technical related field

Experience in Manufacturing Demonstrated experience managing union employees

Self-directed, team oriented with demonstrated planning/problem solving skills

Motivated to learn new principles and ideas, and have excitement in applying these new principles

Motivated to make a positive impact in the work environment and on the quality of the products produced

Computer proficient (including spreadsheet, word processing, presentation, and database applications)

Preferred Qualifications:

Previous experience with quality control systems and methodologies

Previous experience working in a union and manufacturing environment

Formal problem-solving training / experience (green / black belt, Shainin, etc)

Automotive experience in Body in White or Stamping

Good working knowledge of Google Suite software programs

Employment Type

Full-time

Stellantis

At Stellantis, we assess candidates based on qualifications, merit, and business needs. We welcome applications from all people without regard to sex, age, ethnicity, nationality, religion, sexual orientation, disability, or any characteristic protected by law. We believe that diverse teams reflect our identity as a global company, enabling us to better address the evolving needs of our customers and care for our future.

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