Senior Optimization Engineer - Painted Post New York

Location: Painted Post, New York
Posted On: 06/23/2025

Location/Type Hybrid – remote mostly and on-site as needed (can be located anywhere in the US as long as willing to travel to any plant for a few days). Minimum Education PhD in Chemical Engineering, Computer Science, or a related field with a focus on Optimization during graduate studies. Experience Minimum of 10 years of experience in numerical optimization roles in industry. Additional experience in academia in the field of numerical optimization is a bonus. Travel Requirements Domestic and international travel up to 25% to manufacturing sites. Work Schedule Monday-Friday 40 hours with overtime as required. Immigration Status Must be eligible to work in the US for a minimum of 18 months. Key Responsibilities Design, develop, and implement large-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 and translate business needs into objective functions and complex processes into mathematical constraints. Formulate optimization problems for model predictive control (MPC) applications and enhance existing MPC frameworks. Specify and gather data requirements for optimization problem formulation, working with data scientists and engineers to preprocess data. Develop optimization solutions using tools like Gurobi, Pyomo, AMPL, and MATLAB. Build optimization models from scratch and improve existing models to address challenges in manufacturing and scheduling. Work with business leaders to understand workflow and business logic and translate these into mathematical formulations. Use machine learning and data analysis techniques to define parameters, rules, and constraints for optimization problems. Collaborate in interdisciplinary teams and communicate optimization results effectively to technical and non-technical stakeholders. Document solutions and provide training to manufacturing and engineering personnel as needed. Required Skills Expertise in convex optimization, 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 or MiniZinc. Experience working with Git and version control systems. Strong ability to translate business processes and workflow logic into mathematical models. Ability to collaborate with interdisciplinary teams and communicate effectively with technical and business stakeholders. Strong problem-solving skills, teamwork, adaptability, and communication skills. Desired 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. Benefits A comprehensive benefits package is offered, including a MEC (Minimum Essential Coverage) plan that encompasses Medical, Vision, Dental, 401K, and EAP (Employee Assistance Program) services. We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. More...

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