Industrial Engineer - Modeling & Optimization

Corning Inc.; New York (NY); On-site; USD 102,848 - 141,416; Full time

Benefits offered by this job

Company-wide bonuses and long-term/in‑

Job summary

Corning Inc. seeks an Industrial Engineer – Modeling & Optimization to join the corporate engineering team in Painted Post, NY.

You will apply mathematical modeling, simulation, and optimization using Python-based tools, serving as the primary resource for this specialized work and guiding its use across sites to influence capacity, cost, and process flow. The role is onsite with approximately 50% travel and relocation assistance.

Qualifications

• Bachelor’s/masters level degrees in OR/IE/Applied Math or related quantitative field.
• Experience applying mathematical modeling, simulation, optimization to business/engineering problems.
• Hands‑on experience building mathematical and simulation models in professional or applied research settings.
• Experience with optimization/modeling tools such as CPLEX, Gurobi, Pyomo, GLPK, or similar.
• Experience with simulation/modeling tools such as AnyLogic, FlexSim, SimPy, or similar.
• Strong Python capability for data processing, analysis, and tool development including libraries such as Polars, Streamlit, Altair.

Responsibilities

• Develop and apply mathematical programming, simulation, and cost models to solve problems.
• Analyze process flows, resource allocation, production planning, and data to identify improvements.
• Travel to Corning sites to gather inputs and translate operations into model assumptions.
• Build interactive tools and web-based applications in Python to support analysis and decision-making.
• Communicate results to technical and non-technical audiences and document approaches.

Skills

Operations Research

Industrial Engineering

Applied Mathematics

Mathematical modeling

Simulation

Optimization

Python programming

Cross-functional collaboration

Communication

Education

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

Master’s degree preferred; PhD may also be a strong fit

Tools

CPLEX

Gurobi

Pyomo

GLPK

AnyLogic

FlexSim

SimPy

Polars

Streamlit

Altair

Job description

Industrial Engineer – Modeling & Optimization

Location: Painted Post, NY, Erwin Park Center

Company: Corning

This position supports a corporate engineering team that helps Corning sites solve complex operational challenges using mathematical modeling, simulation, optimization, and Python-based tools. While the role is part of a broader engineering group, this person will be the team’s primary resource for this specialized modeling work and will help expand how these tools are used across the organization. The work directly influences decisions tied to capacity, cost, process flow, resource planning, and operational performance across multiple businesses and locations. It is a strong fit for someone who wants both technical depth and the opportunity to help shape a growing capability.

This role is primarily onsite and involves approximately 50% domestic travel. Travel levels may vary based on project needs and phases. 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 and Skills

• Bachelor’s degree in Operations Research, Industrial Engineering, Applied Mathematics, or a 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. Relevant 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 and Skills

• 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

This position does not support immigration sponsorship.

Salary range: $102,848.00 – $141,416.00 (assuming full‑time status). Starting pay for the successful applicant is dependent on a variety of job‑related factors, including but not limited to geographic location, market demands, experience, training, and education.

A job that shapes a life.

Corning offers you the total package.

• Company-wide bonuses and long-term incentives align with key business results and ensure you are rewarded when the company performs well. When Corning wins, we all win.
• As part of our commitment to your financial well‑being, we provide a 100% company‑paid pension benefit with fixed contributions that grow throughout your career. Combined with matching contributions to your 401(k) savings plan, Corning’s total contributions to your retirement accounts can reach between 7% and 12% of your pay, depending on your age and years of service.
• Our health and well‑being benefits include medical, dental, vision, paid parental leave, family building support, fitness, company-paid life insurance, disability, disease management programs, paid time off, and an Employee Assistance Program (EAP) to support you and your family.
• Getting paid for our work is important, but feeling appreciated and recognized for those contributions motivates us much more. That’s why Corning offers a recognition program to celebrate successes and reward colleagues who make exceptional contributions.

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] .