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Statistical Process Control Engineer Jobs in Ann Arbor, MI

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 ...

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 ...

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 ...

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 ...

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 ...

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Be Seen First

Quality Engineer

Southfield, MI · On-site

$85K - $110K/yr

Quality Engineer Quality Engineer has overall responsibility to ensure new products are launched ... Working knowledge of Statistical Process Control , SPC * Working knowledge of Production Part ...

Worthington Steel

Quality Engineer - TWB-Canton, MI

Canton, MI · On-site

$66K - $86K/yr

Collects and performs complex analysis and provides recommendations on statistical process control ... Bachelor in Engineering or related degree * Six Sigma Green Belt Certification or ASQ Certified ...

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 ...

QuestSpecialty

Quality Control Tech

Wayne, MI · On-site

$17 - $21.75/hr

Knowledge of statistical process control (SPC) and root cause analysis methods. * Proficiency with ... Collaborate with production and engineering teams to troubleshoot quality issues and implement ...

Emerald Technologies

Quality Engineer

Saline, MI · On-site

$64K - $83K/yr

Assists in the development of statistical methods for control of processes. * Establish key ... Bachelor's degree in an Engineering Field (Electrical preferred) * 3-5 years of experience in ...

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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 Aug 18, 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?

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 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.

Molding Process Engineer

fng

Fowlerville, MI • On-site

Full-time

Re-posted 13 days ago

Job description

Summary

The Process Engineer will take responsibility for all design of processes and assembly activities within his/her given brief. The ideal candidate is expected to pro-actively identify where processes can be adapted and optimized to ensure cost effectiveness. Throughout the design process, the Process Engineer will verify practices for efficiency and accuracy in order to implement processes that are safe and improve quality. The Process Engineer must possess the capabilities to drive the requirements into the development and continuous improvement of products and processes. Specifically, the Process Engineer's duties will include developing an in-depth knowledge of our supply base; strengths and weaknesses of internal procedures and business processes; strengths and weaknesses of equipment; and the strengths and weaknesses of key personnel who contribute to the quality of the products and services offered by the organization.

Core Competencies
  • Time Management            
  • Creative and Innovative Thinking
  • Development and Continual Learning     
  • Problem Solving   
  • Accountability and Dependability
  • Research and Analysis      
  • Decision making and Judgement 
  • Operating Equipment       
  • Providing Consultation     
  • Ethics and Integrity            
  • Planning and Organizing
  • Mathematical Reasoning               
  • Coaching and Mentoring
  • Communication
  • Team Work
 Job Duties
  • Leading Process Failure Modes and Effects Analysis (PFMEA / Control Plan) creation and updates (with supplier participation).
  • Creation of assembly/process flow charts or supervision of supplier assembly flow charts creation for manufacturing or rework activities.
  • Creation of Work Instructions or supervision of supplier Work Instruction creation for manufacturing or rework activities.
  • Creation of Control Plans or supervision of supplier Control Plan creation for manufacturing or rework activities.
  • Ensuring that all assembly processes operate within lean manufacturing principles (Value Stream Mapping, Five S, Kanban, and poka-yoke).
  • Identification of manufacturing process improvements to existing process at CM and tiered supplier base to include a cost benefit analysis to allow senior evaluation and approval.
  • Supporting our Quality department in the qualification and selection of new suppliers by inputting a thorough evaluation of the suppliers' manufacturing capabilities.
  • Input of manufacturing (tooling, Assembly and Manufacturing Test equipment) estimates to quotations to our potential customers.
  • Conduct workflow analysis and make recommendations for improvement in material handling and shop layout. 
  • Establish and maintain work standards for product costing and productivity measurement.
  • Create Engineering Change Notices (ECN) as related to manufacturing process improvements.

 

Requirements
  • University Degree in Engineering
  • Project Management skills and experience, if no full-time work experience
  • Knowledge and/or experience in PFMEA techniques.
  • Knowledge and/or experience in Lean Manufacturing Techniques.
  • Experience of participation in a product development team from inception to manufacturing launch including evidence of the imposition of DFM/A into the design.
  • Knowledge of the requirements of TS16949 and ISO14001.
  • Knowledge and execution experience of APQP, PPAP, PFMEA, Control Plans, and Process Flow.
  • Proven ability to create and execute project plans that have achieved the identified targets.
  • Excellent planning and organizational skills.
  • Effective verbal and written communication skills.
  • The ability to produce succinct reports/presentations to communicate status of assigned projects/tasks.
  • A tenacious personality that will not let an issue be left unresolved.
  • Strong leadership abilities, able to lead effective meetings.
  • Quality Control background including problem solving and root cause analysis would be beneficial
  • Sound technical background (hands-on) with logical deductive reasoning approach.
  • Interest in developing technical skills through both internal and external training.
  • Exceptional organizational abilities with task prioritization, multi-tasking, use of timelines and time management techniques.
  • Conviction to improve personally and support continuous improvement in the department and company as a whole.
  • Strong work ethic.
  • Ability to work in a fast-paced environment.
  • Self-starter.
  • Effective time management skills.
  • Must be able to work with little supervision; must be self-directed.
  • Ability to manage multiple projects
  • Knowledge and/or experience in Statistical Process Control
  • Experience in design for assembly and manufacturing
  • Knowledge of Musculoskeletal Injury Prevention
  • Effective working skills of MS Office including Word, Excel, and PowerPoint
  • Strong CAD skills
  • Superior analytical capabilities
  • Strong Problem-solving and decision-making
  • Must be mechanically Inclined

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