Optimization Engineer

Job Description: Optimization Engineer Seeking a highly motivated engineer or scientist with strong expertise in multi-objective optimization applied to complex engineering problems. This role will focus on developing, implementing, and deploying optimization methods to support engineering design, analysis, and decision-making across multidisciplinary applications.Key ResponsibilitiesDevelop and apply multi-objective optimization methods for engineering problems involving tradeoffs among performance, cost, mass, durability, efficiency, or other attributesBuild, validate, and improve optimization models for simulation-driven and data-driven engineering applicationsFormulate engineering problems as mathematical optimization models, including objectives, constraints, and decision variablesUse and integrate commercial optimization tools and solvers as well as custom-developed optimization codesWork with cross-functional engineering teams to translate real-world design challenges into robust optimization workflowsAnalyze Pareto-optimal solutions and provide engineering insights to support decision-makingSupport model calibration, sensitivity studies, design space exploration, and surrogate/model-reduction approaches where appropriateDocument methods, assumptions, and results, and communicate findings clearly to technical and non-technical stakeholdersRequired QualificationsMaster's or Ph.D. in Mechanical Engineering, Aerospace Engineering, Industrial Engineering, Applied Mathematics, Operations Research, Computer Science, or a related fieldStrong experience applying multi-objective optimization to engineering problemsExperience in optimization model developmentExperience using commercial optimization software, solvers, or frameworksStrong understanding of mathematical optimization techniques such as gradient-based optimization, nonlinear programming, evolutionary algorithms, surrogate-based optimization, or mixed-integer optimizationExperience working with simulation-based engineering tools and computational modelsStrong programming and problem-solving skillsPreferred QualificationsPh.D. with demonstrated research in engineering optimization or related fieldsExperience with commercial optimization codes such as CPLEX, Gurobi, modeFRONTIER, HEEDS, LS-OPT, iSight, GT-SUITE optimizer, or similar toolsExperience with surrogate modeling, reduced-order modeling, or multi-fidelity optimizationExperience in automotive, CAE, crashworthiness, thermal, structural, manufacturing, or multidisciplinary engineering optimization, simulation software such as LS-DYNA, ABAQUS.Ability to work in a collaborative environment and influence technical direction across teamsDesired Technical SkillsMulti-objective optimization and Pareto tradeoff analysisEngineering model formulation and simulation-based optimizationCommercial and custom optimization code developmentNumerical methods, statistics, and design of experimentsPython, MATLAB, C++, or similar technical computing languagesFamiliarity with finite element, multiphysics, or system-level engineering models