Manufacturing Process Optimization Engineer

Kaleidoscope Innovation, Inc.; Lafayette (IN); On-site; USD 85,000 - 110,000; Full time

Job summary

Kaleidoscope, an Infosys Company, is seeking an Industrial Engineer to support Caterpillar's Lafayette manufacturing facility. You will analyze processes, improve productivity, and help reach operational targets.

The role collaborates with production, quality, maintenance, and engineering teams to optimize layouts, labor efficiency, and safety, while applying Lean principles and data-driven decision making.

Qualifications

• Bachelor's degree in Industrial Engineering, Mechanical Engineering, or related field.
• 5+ years of experience in a manufacturing environment.
• Knowledge of Lean Manufacturing principles and IE methodologies.
• Experience conducting time studies and work measurement analysis.
• Strong analytical and problem-solving skills.
• Proficiency in Microsoft Excel, Power BI, and Microsoft Office applications.
• Excellent communication and teamwork skills.

Responsibilities

• Analyze manufacturing processes and identify opportunities to improve productivity, quality, safety, and efficiency
• Conduct time studies, work measurements, and process evaluations
• Optimize manufacturing layouts, material flow, and workstation design
• Support capacity planning and production line balancing
• Support daily production activities and resolve process-related issues
• Analyze manufacturing data to identify trends and improvement opportunities

Skills

Lean Manufacturing

Time studies

Analytical skills

Communication

Data-driven decisions

Continuous improvement

Process optimization

Root cause analysis

Education

Bachelor's degree in Industrial or Mechanical Engineering

Tools

Excel

Power BI

Job description

Kaleidoscope, an Infosys Company, is seeking an Industrial Engineer to support Caterpillar's Lafayette manufacturing facility. You will analyze processes, improve productivity, and help reach operational targets.

The role collaborates with production, quality, maintenance, and engineering teams to optimize layouts, labor efficiency, and safety, while applying Lean principles and data-driven decision making.