Industrial Engineer

General Motors; Spring Hill (TN); On-site; USD 85,000 - 115,000; Full time

Job summary

General Motors is seeking an Industrial Engineer in Spring Hill, TN to lead data-driven production improvements and automation initiatives. You will collaborate with multiple departments and UAW members to eliminate waste and boost throughput, applying statistical analysis and OpEx techniques.

The role requires a bachelor’s degree in engineering and 2+ years of manufacturing experience, with strong data analytics and robotics knowledge.

Qualifications

• Bachelor’s degree in engineering or a related field is required.
• 2+ years of manufacturing experience.
• Strong interpersonal and communication skills.
• Demonstrated ability to analyze and solve complex problems.
• Experience with data mining, data analytics, and/or statistical analysis.
• Experience leading large and difficult continuous improvement projects with autonomy.
• Knowledge of robotic systems or general programming.
• Knowledge of labor optimization tools and time study analysis.

Responsibilities

• Manage, plan, and execute large-scale production projects introducing robotic cells, cobots, or material automation systems.
• Evaluate project feasibility, ROI by cycle time analysis and data to model simulations.
• Develop and drive OpEx projects to rebalance jobs and improve throughput and reduce labor cost.
• Use Theory of Constraints, data analytics, and statistics to identify bottlenecks and drive improvements.
• Design work operations meeting safety, ergonomic, quality, takt, and efficiency requirements.
• Revise assembly line flow to support automation and throughput projects per Engine Assembly Document (EAD).
• Support tool design, lift assist, packaging, and material presentation design.
• Collaborate across departments to determine space needs and drive layout creation and sustainment using AutoCAD.
• Provide floor support to UAW members and other partners to improve safety, throughput, quality, and standardized work.
• Develop and maintain time studies using motion analysis and standard time data (APS, STDS, GMOS).
• Develop clear work instructions for cyclic and non-standard tasks to ensure build quality and safety.
• Assist programming and making logic/systems changes to a fleet of automated equipment from multiple vendors.

Skills

Interpersonal skills

Problem solving

Data analytics

Automation knowledge

Robotics knowledge

Labor optimization

Flexible schedule

Education

Engineering degree

Tools

AutoCAD

CAD drafting

Job description

Job Description

The role:

The Industrial Engineer is a data and systems driven individual who is an integral part of daily and future production operations. The Industrial Engineer will lead initiatives to eliminate the waste of time, money, materials, person-hours, machine time, energy, and other resources that do not generate value at Spring Hill GPS.

Work is of a technical nature and focused on making complex manufacturing processes more efficient, which involves understanding the systematic cross functionality of several departments within Spring Hill GPS and the General Motors enterprise. The Industrial Engineer will primarily lead and support complex automation, rebalance, layout design, and throughput improvement projects that involve collaboration between several in-plant departments, Headquarters engineering organizations, UAW Team Members, and third-party suppliers and contractors. Many of these projects include integrating automation systems as well as using data and statistical analysis to make business decisions and drive throughput improvements.

The ability to work in a dynamic, fast-paced manufacturing environment is critical to your success at General Motors. Significant use of independent judgment is required, as well as the ability to think critically and creatively to solve problems and drive projects forward. Exceptional relationship building, communication, and organizational skills are needed to effectively plan and execute complex projects.

Additionally, a strong systems-based mindset, knowledge of automation systems (cobots, automation cells, or material automation), and proficiency in data mining, data analytics, and/or statistical modeling are required.

What you’ll do:

• Manage, plan, and execute large-scale production projects that may involve the introduction of robotic cells, cobots, or material automation systems
• Evaluate project feasibility, capability, and ROI by performing cycle time analysis and providing critical data to model simulations
• Develop and drive Operational Excellence (OpEx) projects by evaluating current job functions for rebalance opportunities or opportunities to drive additional production efficiency, throughput, and/or reductions in labor cost
• Utilize the Theory of Constraints, data analytics, and statistical analysis to root cause bottlenecks and drive continuous improvement to manufacturing processes
• Design work operations that meet safety, ergonomic, quality, takt, and efficiency requirements
• Revise assembly line flow and build sequence to support automation, rebalance, and throughput improvement (TIP) projects according to the Engine Assembly Document (EAD)
• Support tool design, lift assist design, material packaging design, and material presentation design
• Collaborate with multiple departments to determine space allocation needs and drive the layout creation, revision, buyoff, and sustainment process using AutoCAD
• Collaborate with and provide robust manufacturing floor support to UAW Team Members, Group Leaders, and other relevant partners to drive improvements to safety, ergonomics, throughput, quality, and standardized work
• Develop and maintain accurate time studies using motion analysis and standard time data (APS, STDS, GMOS)
• Develop and maintain clear and accurate work instructions (cyclic, noncyclic, and non-standard tasks) to ensure build quality, team member safety, and operational effectiveness
• Assist programming and making logic and systematic changes to a fleet of automated mobile equipment from multiple vendors

Your Skills and Abilities (Required Qualifications):

• Bachelor's degree in engineering or a related degree, or equivalent experience
• 2+ years of manufacturing experience
• Strong interpersonal and communication skills
• Demonstrated ability to analyze and solve complex problems
• Experience with data mining, data analytics, and/or statistical analysis
• Experience leading large and difficult continuous improvement projects with a high level of autonomy
• Knowledge of robotic systems (robotic cells, cobots, or material automation) or general programming
• Knowledge of labor optimization tools and time study analysis
• Ability to work off-shift, weekends, or overtime to support project implementations or as needed

What will give you a competitive edge (Preferred Qualifications):

• 2+ years of engineering experience
• Significant educational or work experience in operations research
• Proficiency in AutoCAD or computer-aided drafting and layout tools
• Proficiency in human factors engineering, safety engineering, or ergonomic analysis
• Experience with Throughput Improvement Processes (TIP)
• Experience working in a unionized manufacturing environment
• Lean Six Sigma Green Belt certification

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form