Manufacturing Test Engineer — Automate & Optimize

the-pivot-group-careers; Battle Creek (MI); On-site; USD 78,000 - 116,000; Full time

Job summary

The Pivot Group Network in Battle Creek, MI, is seeking a Test Engineer to design and execute test plans for manufacturing processes and products. The role emphasizes developing automated test scripts to improve efficiency and repeatability.

Ideal candidates will analyze test data to identify root causes and collaborate with design and production teams to integrate testing throughout the product lifecycle, while maintaining calibration of test equipment and documenting results clearly.

Qualifications

• Strong communication and problem-solving skills.
• Experience with scripting languages (Python, PowerShell) for test automation.
• Familiarity with Six Sigma or other lean manufacturing principles.
• Proficiency in data analysis tools (e.g., JMP, Minitab, R) for interpreting test results.
• Knowledge of hardware-in-the-loop (HIL) testing or simulation environments.
• Experience with vision systems or other automated inspection technologies.

Responsibilities

• Design and execute test plans for manufacturing processes and products.
• Develop and implement automated test scripts for efficiency and repeatability.
• Analyze test data, identify root causes of failures, and propose corrective actions.
• Collaborate with design and production teams to integrate testing into the product lifecycle.
• Maintain and calibrate test equipment, ensuring accuracy and reliability.
• Document test procedures, results, and recommendations in a clear and concise manner.
• Participate in design reviews to provide testing expertise and ensure testability of new products.

Skills

Communication

Problem-solving

Tools

Python

PowerShell

Six Sigma

JMP

Minitab

R

HIL testing

Vision systems

Job description

The Pivot Group Network in Battle Creek, MI, is seeking a Test Engineer to design and execute test plans for manufacturing processes and products. The role emphasizes developing automated test scripts to improve efficiency and repeatability.

Ideal candidates will analyze test data to identify root causes and collaborate with design and production teams to integrate testing throughout the product lifecycle, while maintaining calibration of test equipment and documenting results clearly.