Industrial Engineer - Automotive Process Optimization

Colonial Group; Covington (GA); On-site; USD 65,000 - 90,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) / Retirement savings plan

Life insurance

Disability insurance

Paid vacation and time off

Educational assistance

Parental leave and adoption assistance

Job summary

RESRG Automotive in Covington, Georgia is seeking an Industrial Engineer to design, improve, and sustain efficient production systems for high‑quality vehicle components at low total cost. The role blends engineering, operations, quality, and data analysis to advance our manufacturing capabilities.

You will drive throughput, capacity planning, and labor optimization while promoting lean practices and data‑driven decisions.

Qualifications

• Bachelor's degree in Industrial or Mechanical Engineering or related field.
• 1–3 years of hands-on experience in automotive manufacturing or industrial environment.

Responsibilities

• Design, improve, and sustain efficient production systems.
• Maximize throughput while ensuring quality and safety.
• Drive continuous improvement and cost reduction initiatives.
• Perform capacity planning and line rate management.
• Support data-driven decision making with KPI tracking.
• Collaborate with cross-functional teams to implement changes.

Skills

Process optimization

Data analysis

Cross-functional collaboration

Lean principles

Education

Bachelor's in Industrial Engineering

Mechanical Engineering background

Tools

AutoCAD

Solid modeling tools

Excel

Power BI

MES data

Job description

RESRG Automotive in Covington, Georgia is seeking an Industrial Engineer to design, improve, and sustain efficient production systems for high‑quality vehicle components at low total cost. The role blends engineering, operations, quality, and data analysis to advance our manufacturing capabilities.

You will drive throughput, capacity planning, and labor optimization while promoting lean practices and data‑driven decisions.