Industrial Engineer: Lean Process Optimization

Corning Inc.

Painted Post (NY)

On-site

USD 69,000 - 95,000

Full time

3 days ago
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Benefits offered by this job

Company-wide bonuses and long-term/in센
100% company-paid pension benefit
401(k) matching
Health and well-being benefits
Paid parental leave
Family building support
Fitness program
Life insurance
Disability
Paid time off
Employee Assistance Program (EAP)
Recognition program

Job summary

Corning is seeking an Industrial Engineer to apply Lean and IE principles to optimize product and information flow, reduce inventory, and increase capacity across locations. You will lead improvement projects, analyze data, and drive cost reductions while collaborating with cross-functional teams in a fast-paced manufacturing environment.

Requirements include a Bachelor's (Master's preferred) in IE or related field, 1+ year of experience, and proficiency in Excel, Power BI/Tableau, Python, and

Qualifications

  • Bachelor’s degree in Industrial Engineering or another engineering/technical discipline.
  • Minimum of 1 year of related experience; internship and co-op applicable.
  • Knowledge of Lean Manufacturing and Theory of Constraints concepts.
  • Knowledge of cycle time reduction, cost analysis, cost modeling, manufacturing and business processes, value stream mapping, line balancing/staffing, and work cell design.
  • Strong oral and written communication skills.
  • Knowledge and application of Excel and data visualization tools such as Power BI or Tableau.
  • Knowledge of Python programming.
  • Experience with data preparation and visualization.
  • Exposure to manufacturing, supply chain, or commercial analytics.
  • Master’s degree in Industrial Engineering or related field.

Responsibilities

  • Apply Lean and Industrial Engineering principles to improve product and information flow, reduce inventory, increase capacity, reduce complexity, and reduce cost
  • Implement Lean fundamentals such as workplace organization/5S, Kaizen, value stream mapping, standard work, and continuous flow
  • Lead and/or support project teams focused on process and flow improvements to reduce cost, increase capacity, and improve operational efficiency
  • Identify manufacturing-related productivity improvement opportunities across processes and locations
  • Develop and execute project plans, including requirements, deliverables, resources, timelines, milestones, and risk identification
  • Maintain knowledge of current Industrial Engineering methods, tools, and technologies and evaluate their applicability to Corning
  • Develop and apply systems, tools, and technologies through successful project execution
  • Communicate ideas, recommendations, and project status clearly through written documentation, visual media, and presentations
  • Coordinate project team activities and provide facilitation and leadership as needed
  • Ensure accuracy and quality of work through a proactive and detail-oriented approach
  • Serve as a technical resource and coach for peers and internal customers as needed
  • Work effectively across a variety of manufacturing processes, business functions, and site locations to deliver results

Skills

Lean Manufacturing
Theory of Constraints
Cycle time reduction
Cost analysis
Cost modeling
Value stream mapping
Line balancing
Work cell design
Excel
Power BI
Python programming
Data visualization tools

Education

Bachelor’s degree in Industrial Engineering or related
Master’s degree in Industrial Engineering or related field

Tools

SIMUL8
FlexSim
Tableau
PowerPoint
Word

Job description

Corning is seeking an Industrial Engineer to apply Lean and IE principles to optimize product and information flow, reduce inventory, and increase capacity across locations. You will lead improvement projects, analyze data, and drive cost reductions while collaborating with cross-functional teams in a fast-paced manufacturing environment.

Requirements include a Bachelor's (Master's preferred) in IE or related field, 1+ year of experience, and proficiency in Excel, Power BI/Tableau, Python, and

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