Job Description

Requisition Number: 72674

 

The company built on breakthroughs. ​  
Join us.​ 

Corning is one of the world’s leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what’s possible.  ​  

 

How do we do this? With our people. They break through limitations and expectations – not once in a career, but every day. They help move our company, and the world, forward. ​  

 

​At Corning, there are endless possibilities for making an impact. You can help connect the unconnected, drive the future of automobiles, transform at-home entertainment, and ensure the delivery of lifesaving medicines. And so much more.​   

 

​Come break through with us.  

Our Optical Communications segment has recently evolved from being a manufacturer of optical fiber and cable, hardware and equipment to being a comprehensive provider of industry-leading optical solutions across the broader communications industry.This segment is classified into two main product groupings – carrier network and enterprise network. The carrier network product group consists primarily of products and solutions for optical-based communications infrastructure for services such as video, data and voice communications. The enterprise network product group consists primarily of optical-based communication networks sold to businesses, governments and individuals for their own use.

Scope of Position

The division operations research engineer is focused on designing, developing, and deploying mathematical optimization, simulation, and advanced analytics solutions that address strategic business operations across planning, production, fulfillment, inventory, and operations.

Responsibilities

• Collaborate with supply chain specialists, planners, operations teams, and engineers to define optimization problems and translate business needs into objective functions and mathematical constraints.
• Specify and gather data requirements, working with data scientists and engineers to pre-process data.
• Lead and Partner with corporate resources to architect and oversee the development of operations research solutions, including linear/mixed-integer optimization, network design, stochastic modeling, simulation, and scenario analysis.
• Participate in the design, development, and implementation of large-scale optimization models (LP, NLP, MILP) for manufacturing and scheduling challenges.
• Formulate and enhance model predictive control (MPC) applications.
• Develop optimization solutions using tools like Gurobi, Pyomo, AMPL, MATLAB, and other relevant platforms.
• Communicate complex models and insights to both technical and non-technical audiences, emphasizing business impact and risk/benefit trade-offs.
• Oversee the lifecycle of OR projects from scoping and modeling to validation, deployment, and impact measurement.
• Maintain rigorous documentation, version control, and governance for all models and analytical solutions.
• Develop and track KPIs for OR initiatives; ensure solutions deliver measurable improvements in operational cost, service level, efficiency, and revenue generation.
• Support expansion into next-generation analytics, automation, and operational resilience.
• Partner with a diverse team of OR professionals, simulation experts, and analytics modelers at both the corporate and plant levels.
• Foster a culture of critical thinking, knowledge sharing, and continuous improvement in advanced modeling techniques.

Education & Experience Required:

• Master’s/Bachelor’s degree in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, Data Science, or related quantitative discipline.
• Minimum of 2-3 years of experience in numerical optimization or operations research roles in industry; additional academic experience is a bonus.
• Knowledge of operations research techniques, including mathematical programming (linear, mixed-integer, nonlinear), advanced simulation (discrete-event, Monte Carlo), stochastic modeling, and scenario analysis.
• Proficiency in analytics programming languages and tools such as Python (puLP, Pyomo, ortools), R, CPLEX, Gurobi, AnyLogic, AMPL, MATLAB, or relevant simulation/optimization platforms.
• Ability to translate business processes and workflow logic into mathematical models.

Desired Skills

• Experience with integration of OR solutions into enterprise systems (ERP, MES, planning, fulfillment platforms).
• Ability to collaborate with interdisciplinary teams and communicate effectively with technical and business stakeholders.
• Strong project leadership and stakeholder management skills.
• Excellent communication and presentation skills, with the ability to translate complex data insights into understandable and actionable recommendations.
• Strong problem-solving skills, teamwork, adaptability, and communication skills.
• Familiarity with machine learning and data analysis techniques to support optimization problem formulation.
• Experience working with supply chain specialists, planners, and operations teams.
• Ability to identify and define objective functions based on business needs and workflow constraints.
• Familiarity with .NET platform (e.g., C#) for integrating optimization solutions with manufacturing systems (MES/ERP, SCADA).
• Experience in digital transformation, data-driven change management, or large-scale technology/platform deployment.
• Awareness of data privacy, model governance, and responsible analytics practices.
• Demonstrated leadership skills.

 

 

This position does not support immigration sponsorship.

 

The range for this position is $82,051.00 - $112,821.00 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.  

 

Your well-being is our priority. Our compensation and benefits package supports your health and wellness, financial aspirations, and career from day one.

• 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 accommodations@corning.com .

Job Tags

Full time,

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