Quality Engineer

Job Description

Job Description

Role Description The** Quality and Laboratory Engineer** is a full-time, on-site role based in Canton, MI. This role is responsible for performing laboratory testing on engineered resins, operating and maintaining laboratory equipment, and analyzing test data to ensure products meet internal and customer quality standards. The engineer will develop, implement, and monitor quality control procedures, support root cause analysis for nonconformities, and assist in continuous improvement initiatives across manufacturing and laboratory processes. Day-to-day tasks include preparing and documenting test samples, maintaining accurate records and reports, collaborating with R&D, production, and sales teams on technical issues, and supporting customer audits and technical inquiries. The role also involves adherence to safety protocols, participation in cross-functional projects, and contribution to process optimization in alignment with company quality objectives.Qualifications - Candidates should possess strong analytical skills, including data analysis, problem-solving, and interpretation of test results.

• Candidates should possess hands-on laboratory skills, including sample preparation, test method execution, and safe handling of materials.

• Candidates should possess experience with laboratory equipment, including operation, calibration, troubleshooting, and routine maintenance.

• Candidates should possess quality control skills, including knowledge of quality standards, inspection procedures, documentation, and root cause analysis.

• Candidates should possess effective communication skills, including clear technical writing, reporting, and cross-functional collaboration.

• Bachelor’s degree in materials science, chemistry, chemical engineering, polymer science, or a related field; an advanced degree is a plus.

• Experience in plastics, polymers, or engineered materials, preferably in automotive, medical, or industrial applications.

• Familiarity with ISO quality systems, statistical process control, and continuous improvement methodologies (e.g., Six Sigma, Lean) is beneficial.

• Ability to work safely in a laboratory and manufacturing environment and to manage multiple projects