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Statistical Process Control Engineer Jobs in Michigan

Quality Engineer

Sault Sainte Marie, MI · On-site

$68K - $88K/yr

Quality Engineer must have very good attention to detail and full understanding of the ... Develop, implement and maintain a Statistical Process Control program Perform special projects and ...

Experience with SPC, statistical analysis, and continuous improvement methodologies (Lean, Six ... Use manufacturing data to manage process control, develop & implement process improvement including ...

Quality Engineer

Battle Creek, MI · On-site

$67K - $87K/yr

The Quality Engineer is responsible for testing, evaluating, and verifying the quality and ... Deep understanding of quality assurance methodologies, statistical process control (SPC), and ...

Quality Engineer

Troy, MI · On-site

$68K - $88K/yr

Collaborate with engineering, manufacturing, suppliers, and customer support teams to improve ... Statistical Process Control (SPC) * Failure Mode and Effects Analysis (FMEA) * Control Plans

Quality Engineer B Crew

Warren, MI · On-site

$67K - $87K/yr

Summary The Quality Engineer supports daily quality assurance activities, analyzes production data ... Working knowledge of SPC (Statistical Process Control) and core automotive quality standards.

Quality Engineer C Crew

Warren, MI · On-site

$67K - $87K/yr

Summary The Quality Engineer supports daily quality assurance activities, analyzes production data ... Working knowledge of SPC (Statistical Process Control) and core automotive quality standards.

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Statistical Process Control Engineer information

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 Michigan? For Statistical Process Control Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Statistical Process Control Engineer jobs in Michigan look for? The top searched job categories for Statistical Process Control Engineer jobs in Michigan are:
What cities in Michigan are hiring for Statistical Process Control Engineer jobs? Cities in Michigan with the most Statistical Process Control Engineer job openings:
Battery Cell Assembly Process Engineer

Battery Cell Assembly Process Engineer

General Motors

Warren, MI • On-site

Full-time

Posted 25 days ago


General Motors rating

8.0

Company rating: 8.0 out of 10

Based on 306 frontline employees who took The Breakroom Quiz

6th of 44 rated automakers


Job description

Job Description
DUTIES: Technical expert for the development of cell assembly processes including development and approval of cell assembly equipment specifications. Provide technical leadership and coaching to team members and stakeholders. Develop battery cell assembly processes, engineering specifications, documentation, etc. Develop and implement Bill of Process and Bill of Equipment. Interface and build relationships with JV partners to support the flawless launch of battery cell manufacturing facilities. Work with machinery and equipment suppliers on procurement, design, build, validation, and start-up of cell assembly equipment. Work with equipment suppliers on design and build of cell assembly equipment. Optimization of cell manufacturing line layout for assembly processes. Support construction teams with specifications on building and facility requirements for assembly processes. Support implementation of GM safety specifications and equipment safety reviews. Develop assembly strategies for implementation of next generation battery cell technology. Interface with leadership and support development of battery cell manufacturing strategies. 25% travel required domestically and internationally. Hybrid Work Policy - 3 days In-office, 2 days remote - Must be able to report to local office.
REQUIREMENTS: Bachelor's degree in Metallurgical Engineering, Electrical Engineering, Mechanical Engineering, or related field of study. Five (5) years of experience as a GMIO GPS Manufacturing Engineering, or related occupation. Must have five (5) years of experience in the following: Lean manufacturing approaches and tools; APQP & PFMEA, Process Control Plans, Bill of Process (BoP) and Bill of Equipment (BoE); Problem solving methodologies including Shainin, DFSS, and Red-X; and Global Manufacturing System (GMS). Three (3) years of experience in the following: High-speed assembly equipment used in battery cell manufacturing lines; and Statistical Process Control and Process capability. Two (2) years of experience in the following: Installation, debug and start up of high volume assembly equipment; Global Propulsion Systems Development Process (GPDP), Propulsion Systems Quality and Readiness Review (SPQRR); and Project Management.
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General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908