Industrial Engineer - Modeling & Optimization

Corning Incorporated; Painted Post (NY); On-site; USD 102,848 - 141,416; Full time

Benefits offered by this job

Company-wide bonuses

100% company-paid pension benefit

Health and well-being benefits

Job summary

Corning Incorporated in Painted Post, NY, is seeking an Industrial Engineer specializing in Modeling & Optimization. This role is primarily onsite and involves significant travel. The candidate will develop mathematical models and tools to solve engineering problems while collaborating with cross-functional teams.

Qualified candidates will have a relevant degree and experience with modeling and optimization techniques, as well as proficiency in Python. The position offers a competitive salary and comprehensive benefits package.

Qualifications

• 5+ years of relevant experience applying mathematical modeling.
• Experience with optimization/modeling tools and strong Python capability.
• Ability to communicate technical concepts clearly.

Responsibilities

• Develop and apply mathematical programming and cost models.
• Analyze process flows and resource allocation.
• Build interactive tools in Python for analysis and decision-making.

Skills

Mathematical modeling

Simulation

Optimization

Python programming

Data analysis

Education

Bachelor’s degree in Operations Research, Industrial Engineering, or Applied Mathematics

Master’s degree or PhD (preferred)

Tools

CPLEX

Gurobi

AnyLogic

FlexSim

Job description

Requisition Number: 75571

Location & Travel

Industrial Engineer – Modeling & Optimization in Painted Post, NY, Erwin Park Center. This role is primarily onsite, involves ~50% travel on average (primarily domestic). Relocation assistance is available.

Key Responsibilities

• Develop and apply mathematical programming, simulation, and cost models to solve business and engineering problems.
• Analyze process flows, resource allocation, production planning, and operational data to identify improvement opportunities.
• Travel to Corning sites to understand processes, gather inputs, and translate real-world operations into model assumptions and recommendations.
• Build interactive tools and web-based applications in Python to support analysis, visualization, and decision-making.
• Work with cross-functional stakeholders to frame problems, gather requirements, and communicate results to technical and non-technical audiences.
• Document modeling approaches, assumptions, and results to support repeatability and knowledge sharing.
• Help deploy optimization, simulation, and cost-modeling tools into business use.

Minimum Qualifications

• Bachelor’s degree in Operations Research, Industrial Engineering, Applied Mathematics, or related quantitative discipline.
• Relevant experience applying mathematical modeling, simulation, optimization, and industrial engineering or operations research methods to solve business or engineering problems. Candidates may qualify through a bachelor’s degree with 5+ years of relevant professional experience, a master’s degree with 4+ years of relevant experience, or a PhD with 2+ years of relevant applied experience. Post‑doctoral or industrial research experience may also be considered.
• Hands‑on experience building and using mathematical models and simulation models in a professional or applied research setting.
• Experience with optimization/modeling tools such as CPLEX, Gurobi, Pyomo, GLPK, or similar tools.
• Experience with simulation/modeling tools such as AnyLogic, FlexSim, SimPy, or similar platforms.
• Strong Python capability for data processing, analysis, and application or tool development, including experience with libraries such as Polars, Streamlit, Altair, or similar tools.
• Ability to communicate technical concepts clearly to technical and non-technical audiences and work effectively across teams to drive projects forward.

Preferred Qualifications

• Master’s degree preferred; PhD may also be a strong fit.
• Experience with data preparation, workflow automation, and data visualization.
• Exposure to manufacturing, supply chain, industrial operations, or commercial analytics.
• Experience building interactive dashboards, web‑based tools, or decision‑support applications for end users.
• Lean or traditional operational industrial engineering experience is helpful, but not required.

Salary

The range for this position is $102,848.00 – $141,416.00 assuming full‑time status. Starting pay depends on job‑related factors.

Benefits

• Company‑wide bonuses and long‑term incentives.
• 100% company‑paid pension benefit with fixed contributions; matching contributions to 401(k) up to 7%–12% of pay.
• Health and well‑being benefits including medical, dental, vision, paid parental leave, family building support, fitness, life insurance, disability, disease management programs, paid time off, and an Employee Assistance Program.
• Recognition program to celebrate successes and reward exceptional contributions.

Additional Information

This position does not support immigration sponsorship.

EEO Statement

We prohibit discrimination on the basis of race, color, gender, age, religion, national origin, sexual orientation, gender identity or expression, disability, veteran status or any other legally protected status. Corning is committed to providing equal employment opportunities and considers requests for reasonable accommodations in accordance with applicable laws. Individuals with disabilities or sincerely held religious beliefs may request reasonable accommodations to participate in the application or interview process, perform essential job functions, or access other benefits and privileges of employment. To submit a request for reasonable accommodation related to disability or religion, please contact us at [e-mail].