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Industrial Engineer

General Motors, Flint, MI, United States


The Role
The Industrial Engineer plays a critical role in driving operational excellence across our manufacturing operations. This role focuses on eliminating waste of time, money, materials, person-hours, machine time, energy, and other non–value-added resources. You will develop, recommend, and implement changes that improve manufacturing processes, throughput, and product quality. Success in this role requires strong analytical skills, a continuous improvement mindset, and the ability to thrive in a dynamic, fast‑paced manufacturing environment.

What You’ll Do (Responsibilities)

Develop, maintain, and analyze Manufacturing Master Schedules at a level of detail sufficient to monitor progress, assess program status, and proactively identify performance and capacity issues.

Apply critical path methodology to build and analyze network schedules, identify constraints, and drive timely problem resolution.

Optimize sequence of operations and workflow to improve throughput, balance lines, and reduce bottlenecks.

Create and maintain crew plans to ensure labor and equipment resources are properly allocated and utilized effectively.

Define, track, and report key metrics to monitor schedule adherence, production performance, and risk areas; recommend and implement corrective actions as needed.

Lead and support waste elimination and process improvement initiatives using Lean and continuous improvement tools.

Perform data analysis (e.g., takt time, cycle time, capacity, downtime, scrap) to establish shop-level metrics and solve complex manufacturing problems.

Document, maintain, and improve standardized work procedures to ensure consistency, quality, and repeatability.

Partner with manufacturing, maintenance, and engineering teams to provide technical support and troubleshooting for equipment, processes, and layout changes.

Collaborate with production supervisors and production associates to identify improvement opportunities, validate solutions, and support sustainable implementation.

Support and champion a safety‑first culture, incorporating ergonomic and human factors considerations in process and workstation design (as applicable).

Your Skills And Abilities (Required Qualifications)

Experience working in a manufacturing environment, preferably high‑volume or complex operations.

Demonstrated background in Continuous Improvement (e.g., Kaizen, 5S, problem solving, root cause analysis).

Experience documenting standardized work procedures and ensuring adherence on the shop floor.

Hands‑on experience implementing Lean Manufacturing concepts (e.g., value‑stream mapping, line balancing, waste reduction, visual management).

Strong analytical and problem‑solving skills, with the ability to interpret data and convert insights into actionable improvements.

Proficiency with Excel and other data analysis tools to manipulate, analyze, and visualize production and scheduling data.

Effective communication and collaboration skills, with the ability to work cross‑functionally with engineering, production, maintenance, and leadership.

Ability to work independently in a fast‑paced, dynamic manufacturing environment, managing multiple priorities and deadlines.

Must be able to work on a rotating/flexible shift (1st, 2nd or 3rd), as well as overtime and weekends, as needed.

What Can Give You a Competitive Edge (Preferred Qualifications)

Bachelor’s degree in Industrial Engineering, Manufacturing Engineering, Mechanical Engineering, or a related engineering field.

Knowledge of human factors engineering and ergonomic analysis and how to apply these principles to workstation and process design.

Experience working in a union or bargaining‑unit environment, with an understanding of contract considerations in process and staffing changes.

Working knowledge of computer‑aided drafting and simulation tools (e.g., AutoCAD, C‑draw or similar) for layout design, line balancing, and workflow optimization.

Experience with manufacturing execution systems (MES), scheduling tools, or other digital manufacturing systems.

Familiarity with Six Sigma tools and methodologies (e.g., DMAIC, statistical analysis).

Prior experience supporting new model launches, equipment installations, or major process changes in a manufacturing setting.

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