Industrial Engineering Co-Op

Rennscot MFG•Woburn, MA
•$19 - $24•Onsite

About The Position

As an Industrial Engineering Co-op, you will work with engineering, production, quality, and operations teams to improve the flow of work through a manufacturing environment. The role involves spending time on the manufacturing floor, analyzing production data, identifying improvement opportunities, and helping implement solutions to make operations more efficient, scalable, and effective. The co-op applies classroom learning to advanced manufacturing challenges and provides hands-on experience in process improvement, capacity planning, data analysis, and Lean manufacturing. You will support production analysis, scheduling, capacity planning, and continuous improvement using manufacturing systems and data, while collaborating across multiple functions and taking meaningful improvement projects from analysis through implementation and evaluation. Rennscot MFG is an advanced manufacturing services provider in Woburn, Massachusetts. Its services include reverse engineering, metal and polymer additive manufacturing, and precision machining. The company serves a range of industries and is diversifying into commercial and critical technology sectors.

Requirements

  • Currently pursuing a bachelor's degree in Industrial Engineering, Manufacturing Engineering, Mechanical Engineering, Systems Engineering, Operations Engineering, or a related engineering discipline.
  • Must be a US citizen, lawful permanent resident of the US, protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain required authorizations from the US Department of State, to comply with ITAR requirements.
  • Comfort using Microsoft Excel.
  • Able to work at a computer and regularly stand, walk, and move throughout an active manufacturing facility.
  • Able to occasionally bend, reach, access manufacturing work areas, and lift or carry materials, equipment, or documentation weighing up to 25 pounds.
  • Must follow applicable safety requirements and wear required PPE on the manufacturing floor.

Nice To Haves

  • Coursework in manufacturing systems, operations research, statistics, process improvement, engineering economics, manufacturing processes, materials, or engineering design.
  • Previous internship, co-op, manufacturing, laboratory, or hands-on technical experience.
  • Exposure to Lean Manufacturing or Six Sigma principles through coursework, projects, or previous experience.
  • Interest in learning tools such as data analytics, process mapping, CAD, ERP/MRP systems, or data visualization.
  • Exposure to or interest in learning Lean Manufacturing, Six Sigma, 5S, value-stream mapping, and other continuous improvement approaches.

Responsibilities

  • Evaluate workflows, production systems, and material flow to identify opportunities to improve efficiency, quality, and throughput.
  • Conduct time studies, cycle-time analyses, process observations, and workflow assessments on the manufacturing floor.
  • Collect and analyze manufacturing data to identify trends, bottlenecks, and improvement opportunities.
  • Support capacity planning for equipment, labor, manufacturing processes, and other operational resources.
  • Help develop and monitor KPIs, including throughput, cycle time, utilization, downtime, work-in-process, and labor efficiency.
  • Evaluate equipment, work-cell, and facility layouts to improve material flow, ergonomics, productivity, and space utilization.
  • Create process maps, value-stream maps, workflow diagrams, and current- and future-state models.
  • Support Lean projects involving 5S, standard work, visual management, root cause analysis, and waste reduction.
  • Develop and maintain standard work, operating procedures, and manufacturing documentation.
  • Use manufacturing systems and data to support production analysis, scheduling, capacity planning, and continuous improvement.
  • Collaborate with Manufacturing Engineering, Production, Quality, Supply Chain, and other teams.
  • Develop recommendations, present findings, support implementation, and evaluate whether improvements achieved their intended results.
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