Manufacturing Process & Quality Improvement Lead

Klöckner & Co SE; Charlotte (NC); On-site; USD 55,000 - 75,000; Full time

Benefits offered by this job

401(k) with Company Match

Paid Time Off

Paid Holidays

Health insurance – Medical/Prescripton

Health Savings Account (HSA)

Wellness Stipend

Paid Life insurance

Paid Short / Long-Term Disability

Adoption Assistance

Adoption & Fertility Support

Referral Program

Employee Assistance Program

Employee Discount

Job summary

Klöckner & Co SE is seeking an engineering professional to apply engineering principles to manufacturing and layout problems. The incumbent will interpret engineering drawings, analyze production processes, and assist in quality assurance standards within a dynamic industrial setting.

Additionally, responsibilities include evaluating statistical data, designing equipment, and planning work assignments to optimize performance and productivity.

Qualifications

• One to two years related experience and/or training.
• Equivalent combination of education and experience.

Responsibilities

• Interpret engineering drawings and confer with management or engineering staff.
• Read worker logs and verify adherence to quality assurance specifications.
• Observe worker operations to verify compliance with standards.
• Compile and evaluate statistical data for quality and reliability.
• Prepare charts, graphs, or diagrams for operations and layouts.
• Study time and methods to establish standard production rates.
• Design new equipment or recommend operational changes.
• Aid in planning work assignments based on machine capacity.
• Recommend modifications to achieve optimum quality.
• Write reports to validate deviations from standards.

Education

Bachelor’s degree (BA) from 4-year college or university

Job description

Klöckner & Co SE is seeking an engineering professional to apply engineering principles to manufacturing and layout problems. The incumbent will interpret engineering drawings, analyze production processes, and assist in quality assurance standards within a dynamic industrial setting.

Additionally, responsibilities include evaluating statistical data, designing equipment, and planning work assignments to optimize performance and productivity.