Senior Optimization Engineer Position Available In Steuben, New York

Job Description:

Location/Type Hybrid – remote mostly and on-site as needed (canbe located anywhere in the US as long as willing to travel to anyplant for a few days). Minimum Education PhD in ChemicalEngineering, Computer Science, or a related field with a focus onOptimization during graduate studies. Experience Minimum of 10years of experience in numerical optimization roles in industry.

Additional experience in academia in the field of numericaloptimization is a bonus. Travel Requirements Domestic andinternational travel up to 25% to manufacturing sites. WorkSchedule Monday-Friday 40 hours with overtime as required.

Immigration Status Must be eligible to work in the US for a minimumof 18 months. Key Responsibilities Design, develop, and implementlarge-scale optimization models, including linear programming (LP),non-linear programming (NLP), and mixed-integer linear programming(MILP). Collaborate with supply chain specialists, planners,operations teams, and engineers to define optimization problems andtranslate business needs into objective functions and complexprocesses into mathematical constraints. Formulate optimizationproblems for model predictive control (MPC) applications andenhance existing MPC frameworks. Specify and gather datarequirements for optimization problem formulation, working withdata scientists and engineers to preprocess data. Developoptimization solutions using tools like Gurobi, Pyomo, AMPL, andMATLAB. Build optimization models from scratch and improve existingmodels to address challenges in manufacturing and scheduling. Workwith business leaders to understand workflow and business logic andtranslate these into mathematical formulations. Use machinelearning and data analysis techniques to define parameters, rules,and constraints for optimization problems. Collaborate ininterdisciplinary teams and communicate optimization resultseffectively to technical and non-technical stakeholders. Documentsolutions and provide training to manufacturing and engineeringpersonnel as needed. Required Skills Expertise in convexoptimization, MILPs, NLPs, and large-scale optimization solvers(e.g., Gurobi). Proficiency in programming languages such as Python(with Pyomo), MATLAB, and AMPL.

Optional:

familiarity with GAMS orMiniZinc. Experience working with Git and version control systems.

Strong ability to translate business processes and workflow logicinto mathematical models. Ability to collaborate withinterdisciplinary teams and communicate effectively with technicaland business stakeholders. Strong problem-solving skills, teamwork,adaptability, and communication skills. Desired Skills Familiaritywith machine learning and data analysis techniques to supportoptimization problem formulation. Experience working with supplychain specialists, planners, and operations teams. Ability toidentify and define objective functions based on business needs andworkflow constraints. Benefits A comprehensive benefits package isoffered, including a MEC (Minimum Essential Coverage) plan thatencompasses Medical, Vision, Dental, 401K, and EAP (EmployeeAssistance Program) services. We provide equal employmentopportunities to all employees and applicants for employment andprohibit discrimination and harassment of any type without regardto race, color, religion, age, sex, national origin, disabilitystatus, genetics, protected veteran status, sexual orientation,gender identity or expression, or any other characteristicprotected by federal, state, or local laws.