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Statistical Process Control Engineer Jobs in Ann Arbor, MI

Actalent

Quality Engineer, 2nd Shift

Livonia, MI

$67K - $87K/yr

Analyze Statistical Process Control (SPC) data and collaborate with manufacturing engineering to implement process improvements. * Apply knowledge of Geometric Dimensioning and Tolerancing (GD&T) and ...

ZEISS

Applications Engineer

Wixom, MI · Hybrid

Applications Engineers serve as a trusted technical advisor, helping customers understand and ... Experience with Statistical Process Control (SPC) and Quality Data * Understanding of Manufacturing ...

ZEISS

Applications Engineer

Wixom, MI · On-site

Applications Engineers serve as a trusted technical advisor, helping customers understand and ... Experience with Statistical Process Control (SPC) and Quality Data * Understanding of Manufacturing ...

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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 Sep 7, 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.

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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.

Senior Engineer, Motor Control & Calibration

Mercedes-Benz R&D North America

Ann Arbor, MI • On-site

$125 - $150/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago

Job description

At Mercedes-Benz Research & Development North America (MBRDNA), we are committed to delivering world‑class automotive technologies that push the boundaries of what is possible. Our teams of highly skilled engineers and designers use cutting‑edge software and technology, to enhance the driving experience and reduce environmental impact.

Are you passionate about shaping the future of electric mobility? Do you thrive on innovating cutting‑edge e‑motor control technologies that power the next generation of Mercedes‑Benz electrified vehicles? We are seeking a highly skilled and motivated E‑Motor Control Engineer to join our dynamic global team, where you will play a pivotal role in advancing our e‑motor control systems from concept to production.

Your Mission: As an E‑Motor Control Engineer, you will be at the forefront of developing, validating, and optimizing sophisticated e‑motor control algorithms and software. You will drive innovation in our methods, tools, and processes, establishing best practices for e‑motor analysis, control, and testing. Your expertise will directly contribute to delivering exceptional performance and customer satisfaction in our plug‑in hybrids, other electrified vehicles, and future development programs.

Job Responsibilities:
  • Innovate & Develop Algorithms: Design, develop, and refine e‑motor control algorithms using model‑based design tools like Simulink/Target Link, including automated code generation.
  • Validate & Verify Systems: Perform rigorous algorithm verification and validation through advanced simulation, motor emulator, Hardware‑in‑the‑Loop (HIL), and dynamometer (dyno) tests.
  • Calibrate & Optimize Performance: Lead the calibration of electric motor control software to meet stringent performance, functionality, and diagnostic requirements for electrified powertrains.
  • Test & Assure Quality: Support production release testing by designing, maintaining, and executing comprehensive test cases for model‑based EM‑Controls software, utilizing both automated scripts and manual tests on Dyno, motor emulator, and HILs. Process test data to generate insightful reports.
  • Troubleshoot & Resolve Issues: Diagnose and resolve complex issues within E‑drive systems, ensuring robust performance and seamless integration.
  • Collaborate & Coordinate: Coordinate testing activities across different groups and provide essential support to cross‑functional teams, internal stakeholders, and suppliers on requirements, functionality, and issue resolution.
  • Manage Requirements & Strategy: Create, maintain, and manage motor control requirements using product lifecycle management (PLM) tools, ensuring adherence to Mercedes‑Benz development processes and providing key project metrics.
  • Support Future Planning: Contribute to capacity planning based on future motors, power electronics, and software variants.
Minimum Qualifications:
  • Education: MS Degree in Electrical Engineering or Mechanical Engineering, preferably with a focus on control algorithms.
  • E‑Motor Control Expertise: 5+ years of relevant work experience. Theoretical and practical understanding of AC IPM/Induction motors and their control for automotive applications, coupled with proven experience in model‑based design, simulation, and algorithm development using MATLAB/Simulink/Target Link.
  • Tool Proficiency: Expertise in calibration tools (e.g., Vector CANape, INCA, LabVIEW) and proficiency in scripting for data processing, reporting, interfacing with data acquisition equipment, and test automation frameworks. Experience in leveraging AI tools to optimize development processes and enhance efficiency.
  • Automotive Software Acumen: Familiarity with automotive software development processes, including requirement management and engineering, aligned with automotive SPICE.
  • Project Management & Problem Solving: Self‑driven with excellent organizational skills, a proactive approach to problem‑solving, and a strong sense of ownership to ensure project timing and goals are met.
  • Communication & Collaboration: Exceptional oral, written, and presentation communication skills for effective cross‑functional interaction and collaboration.
  • Valid Driver's License
Preferred Qualifications:
  • PhD in Electrical Engineering, Mechanical Engineering, or related fields
  • Advanced theoretical knowledge and research experience in motor control strategies and their application
  • Hands‑on experience with Hardware‑in‑the‑Loop (HIL) systems, motor emulators, and dynamometers for testing and validation
  • Understanding of motor control hardware design, circuit design, high‑power inverters, driver stages, and PCB layout, along with control logic
  • German language is a plus

This position may involve access to export‑controlled technology, hardware, or software under the Export Administration Regulations (EAR), 15 C.F.R. Parts 730-774 and possibly technical data, defense articles and defense services subject to the International Traffic in Arms Regulations (ITAR), 22 C.F.R. Parts 120-130. As such, Mercedes‑Benz Research & Development North America may be required to obtain an export license or authorization in accordance with United States law.

Why should you apply?

Here at MBRDNA, you create digital ecosystems around cars, you design a language between humans and machines, you make a car even more intelligent - you make the new reality for cars. MBRDNA was honored as one of the "Best Places to Work" by BuiltIn in January 2024, a testament to our commitment to creating an exceptional work environment. At each of our offices, we foster a culture of collaboration and continuous learning, ensuring every team member can thrive and innovate.

Benefits for Full‑Time Employees Include:
  • Medical, dental and vision insurance for employees and their families
  • 401(k) with employer match
  • Up to 15 company‑paid holidays
  • Paid time off (flexible time off for salaried employees), sick time, and parental leave
  • Tuition assistance program
  • Wellness/Fitness reimbursement programs
  • Internships & Contractors excluded from Full‑Time Employee benefits

MBRDNA is an equal opportunity employer (EOE) and strongly supports diversity in the workforce.

Mercedes‑Benz Research and Development North America, Inc.

PRIVACY NOTICE FOR CALIFORNIA RESIDENTS

https://mbrdna.com/california-employee-privacy-notice/

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