Manufacturing Engineering Intern: Lean Data-Driven Ops

SoLa Impact; Los Angeles (CA); On-site; USD 26,000 - 37,000; Full time

Benefits offered by this job

Paid vacation

Medical, dental, vision, life

Sick leave and holidays

Job summary

Model/Z is seeking an Industrial Engineering Intern to support manufacturing operations, focusing on production efficiency, process improvement, and optimization. The role involves collaborating with production, manufacturing engineering, quality, and supply chain to analyze processes, identify bottlenecks, and develop data-driven solutions to enhance safety, quality, delivery, and cost.

The internship emphasizes lean manufacturing, time studies, capacity analysis, line balancing, standard work,

Qualifications

• Bachelor's Degree in Engineering (Industrial Engineering, Manufacturing).
• Systems Engineering, Operations Engineering, or a closely related field. Industrial Engineering strongly preferred.
• Knowledge of AutoCAD preferred.

Responsibilities

• Assist Manufacturing Engineers with establishing practices and processes to move fast while maintaining high quality.
• Support material flow by laying out build and test flow to enable scalable product flow.
• Contribute to test activities through design integration, assembly sequencing, BOM development, and test work orders.
• Help develop detailed work instructions and manage MES routings workflows.

Skills

Excel data analysis

PivotTables

Time studies / capacity planning

Line balancing / process mapping

Analytical problem-solving

Education

Bachelor's Degree in Engineering (Industrial Engineering, Manufacturing)

Systems Engineering / Operations Engineering or related field

AutoCAD knowledge preferred

Tools

AutoCAD

Power BI

Job description

Model/Z is seeking an Industrial Engineering Intern to support manufacturing operations, focusing on production efficiency, process improvement, and optimization. The role involves collaborating with production, manufacturing engineering, quality, and supply chain to analyze processes, identify bottlenecks, and develop data-driven solutions to enhance safety, quality, delivery, and cost.

The internship emphasizes lean manufacturing, time studies, capacity analysis, line balancing, standard work,