Manufacturing Innovation Engineer — Kaizen & Automation

Acuity; Conyers (GA); Hybrid; USD 69,000 - 148,000; Full time

Benefits offered by this job

Health care

Dental coverage

Vision plans

401K benefits

Job summary

Acuity Inc. is seeking an Advanced Manufacturing Engineer to optimize manufacturing methods, reduce costs, and improve sustainability across the supply chain.

You will evaluate new and existing processes and configure manufacturing systems, driving best practices and efficiencies. This role requires a Bachelor's degree in Engineering and 2+ years of experience in manufacturing engineering, warehouse logistics, or automation, with a strong background in lean methods, problem solving, and

Qualifications

• Bachelor's degree in engineering or related field.
• Strong knowledge of Lean, Kaizen, and continuous improvement.
• Proficiency with CAD, FMEA, DFM and problem-solving methods.

Responsibilities

• Design and implement new equipment and mechatronic solutions to improve efficiency and quality.
• Lead projects with cross-functional teams across regions.
• Develop budgets, schedules, and risk management for manufacturing initiatives.
• Provide Cp/Cpk capability analyses and GR&R support for processes.
• Train operations teams on new machines and processes.
• Collaborate with product and engineering teams to ensure manufacturability and cost targets.

Skills

Lean Principles

Kaizen

CAD

FMEA

DFM

Power BI

Excel

Microsoft Office

Project management

English fluency

Education

Bachelor's degree in Engineering

Engineering technology background

Job description

Acuity Inc. is seeking an Advanced Manufacturing Engineer to optimize manufacturing methods, reduce costs, and improve sustainability across the supply chain.

You will evaluate new and existing processes and configure manufacturing systems, driving best practices and efficiencies. This role requires a Bachelor's degree in Engineering and 2+ years of experience in manufacturing engineering, warehouse logistics, or automation, with a strong background in lean methods, problem solving, and