Industrial Engineer - Automotive Logistics & Lean Improvement

hrone; Arlington (TX); On-site; USD 65,000 - 90,000; Full time

Job summary

Logistics Insight Corporation (LINC) in Arlington, Texas, is seeking an Industrial Engineer to support operations for General Motors. You will analyze material flow, optimize warehouse layouts, and drive continuous improvement across logistics and manufacturing support functions.

The role offers hands-on exposure to automotive supply chain operations, PFEP methodologies, time studies, and data-driven performance measurement in a high-volume setting.

Qualifications

• Bachelor's Degree in Industrial Engineering or related field.
• Strong analytical and problem-solving abilities.
• Proficiency with Microsoft Excel and data analysis.
• Excellent organizational, communication, and project management skills.
• Ability to thrive in a fast-paced operational environment.

Responsibilities

• Analyze and improve material flow, inventory movement, and production support processes.
• Design and optimize warehouse layouts, storage locations, workstations, and assembly support areas.
• Develop and maintain PFEP methodologies.
• Conduct time studies, labor analysis, and productivity evaluations.
• Lead continuous improvement initiatives focused on safety, quality, delivery, and cost.
• Collaborate with operations, engineering, and customer teams to support business objectives.
• Develop reports, presentations, and performance metrics for management review.

Skills

Analytical thinking

Problem solving

Excel proficiency

Project management

Communication

Organizational skills

Education

Bachelors in Industrial Engineering

Tools

Microsoft Excel

Job description

Logistics Insight Corporation (LINC) in Arlington, Texas, is seeking an Industrial Engineer to support operations for General Motors. You will analyze material flow, optimize warehouse layouts, and drive continuous improvement across logistics and manufacturing support functions.

The role offers hands-on exposure to automotive supply chain operations, PFEP methodologies, time studies, and data-driven performance measurement in a high-volume setting.