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Statistical Process Control Engineer Jobs in Milwaukee, WI

Sr. Process Engineer

Mount Pleasant, WI

$100K - $130K/yr

Define and implement robust process control strategies, SOPs, and technical best practices to ... Proficiency in Design of Experiments (DOE) using Minitab, JMP, or Stat-Ease to solve variability ...

Develop and review design calculations, engineering reports, technical memos, and troubleshooting guides, process and control narratives, and process control lab procedures using configurable modules ...

Automation Control Engineer Monday - Friday: 7:30am - 4:00pm Retention Bonus eligible up to $5,000 ... Collaborate with automation engineers and production teams to optimize product handling processes ...

Develop and review design calculations, engineering reports, technical memos, and troubleshooting guides, process and control narratives, and process control lab procedures using configurable modules ...

Develop and review design calculations, engineering reports, technical memos, and troubleshooting guides, process and control narratives, and process control lab procedures using configurable modules ...

Sr. Process Engineer

Mount Pleasant, WI · On-site

$100K - $130K/yr

... process control strategies, SOPs, and technical best practices to ensure gold-standard product ... Stat-Ease to solve variability issues. • Familiarity with B2B regulatory compliance and food ...

Sr. Process Engineer

Sturtevant, WI

$100K - $130K/yr

... process control strategies, SOPs, and technical best practices to ensure gold-standard product ... Stat-Ease to solve variability issues. · Familiarity with B2B regulatory compliance and food ...

Join us in becoming the premier die casting manufacturer and engineering solutions supplier ... Knowledge of GD&T and statistical process control (SPC). * Familiarity with fixture setup and tool ...

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Statistical Process Control Engineer information

See Milwaukee, WI salary details

$51.7K

$97.3K

$144.8K

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

As of Jun 27, 2026, the average yearly pay for statistical process control engineer in Milwaukee, WI is $97,301.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,400.00 and $114,800.00 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 Milwaukee, WI? For Statistical Process Control Engineer jobs in Milwaukee, WI, the most frequently searched job titles are:
What job categories do people searching Statistical Process Control Engineer jobs in Milwaukee, WI look for? The top searched job categories for Statistical Process Control Engineer jobs in Milwaukee, WI are:
What cities near Milwaukee, WI are hiring for Statistical Process Control Engineer jobs? Cities near Milwaukee, WI with the most Statistical Process Control Engineer job openings:
Infographic showing various Statistical Process Control Engineer job openings in Milwaukee, WI as of June 2026, with employment types broken down into 57% Full Time, 41% Part Time, and 2% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $97,301 per year, or $46.8 per hour.
Manufacturing Reliability Engineer

Manufacturing Reliability Engineer

Diligent Robotics

Milwaukee, WI • On-site

$101K - $127K/yr

Full-time

Posted 23 days ago


Job description

What we're doing isn't easy, but nothing worth doing ever is.
Diligent builds helpful robots that work safely and autonomously in real world environments. We move quickly, solve messy problems, and care deeply about reliability at scale. We're hiring a Manufacturing Reliability Engineer to own production test for our robots at our contract manufacturer: you'll design and run robust end-to-end test protocols, provision fleets of robots for production, and own the KPIs that define production quality.
This role is based in the Milwaukee, WI area and requires close collaboration across software, hardware, operations, and product engineering teams.
Key Responsibilities
  • End-to-end test process ownership. Create, validate, and maintain production test protocols and gating criteria from incoming inspection through final test and shipment.
  • Provisioning of bots. Design and operate provisioning flows (imaging, firmware deployment, configuration, validation) and the tooling/fixtures needed to provision and handoff robots for production.
  • KPIs and continuous improvement. Own key production metrics - First Pass Yield (FPY), cycle time, and test coverage - and drive continuous improvements to meet throughput and quality targets.
  • Test automation & infrastructure. Architect, implement, and maintain automated test frameworks, harnesses, and test rigs used at the CM site. Ensure tests are stable, fast, and provide actionable failure data.
  • Cross-functional escalation & RCA. Lead root-cause analysis for field and production failures; coordinate corrective actions with design, firmware, and CM engineering to close quality loops.
  • On-site production leadership. Be the onsite technical authority at the contract manufacturer: train operators, debug failures on the line, and continuously refine processes with CM partners.

What Success Looks Like
  • Improved FPY and reduced rework rates across production builds.
  • Reduced per-unit cycle time for test/provisioning while increasing test coverage.
  • Stable, fully automated provisioning flow with minimal manual intervention.

Basic Qualifications
  • 5+ years experience in production/test engineering for complex electro-mechanical products (robotics, medical devices, consumer electronics, or similar).
  • Proven ownership of E2E production test processes and production provisioning at a contract manufacturer (on-site experience strongly preferred).
  • Deep familiarity with test protocol development: test specification writing, fixture design, automated test implementation, and validation.
  • Strong hands-on experience with firmware provisioning and validation for sensors and compute (sensor FW + compute/host FW).
  • Broad technical knowledge across systems integration (ES integration), sensors (e.g., cameras, LiDAR, IMU or similar), embedded compute platforms, and networking/provisioning.
  • Excellent debugging skills across hardware, firmware, and system software; able to triage complex cross-domain failures.
  • Strong data-driven mindset: experienced with KPIs (FPY, cycle time, test coverage), statistical process control, and metrics reporting. Outstanding communication skills and experience working closely with contract manufacturers, operators, and cross-functional engineering teams.
  • Comfortable being onsite full-time at a contract manufacturer and traveling as needed.

Preferred Qualifications
  • Experience with robotics stacks (ROS or equivalent) and robotic sensor calibration/test.
  • Familiarity with manufacturing automation tools, CI for embedded systems, and test frameworks (Python, pytest, LabVIEW, or similar).
  • Experience with provisioning large fleets (device identity, secure image signing, automated configuration).