Industrial Engineer - Modeling & Optimization

Corning•Town of Erwin, NY

6d•$102,848 - $141,416•Hybrid

About The Position

Corning is hiring an Industrial Engineer – Modeling & Optimization in Painted Post, NY. This role is primarily onsite, involves approximately 50% travel on average, primarily domestic, with travel levels varying based on project needs and phases, and relocation assistance is available. 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.

Requirements

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

Nice To Haves

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

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