Job Description: Optimization Engineer / Senior 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 Responsibilities
Develop and apply multi-objective optimization methods for engineering problems involving tradeoffs among performance, cost, mass, durability, efficiency, or other attributes
Build, validate, and improve optimization models for simulation-driven and data-driven engineering applications
Formulate engineering problems as mathematical optimization models, including objectives, constraints, and decision variables
Use and integrate commercial optimization tools and solvers as well as custom-developed optimization codes
Work with cross-functional engineering teams to translate real-world design challenges into robust optimization workflows
Analyze Pareto-optimal solutions and provide engineering insights to support decision-making
Support model calibration, sensitivity studies, design space exploration, and surrogate/model-reduction approaches where appropriate
Document methods, assumptions, and results, and communicate findings clearly to technical and non-technical stakeholders
Required Qualifications
Master's or Ph.D. in Mechanical Engineering, Aerospace Engineering, Industrial Engineering, Applied Mathematics, Operations Research, Computer Science, or a related field
Strong experience applying multi-objective optimization to engineering problems
Experience in optimization model development
Experience using commercial optimization software, solvers, or frameworks
Strong understanding of mathematical optimization techniques such as gradient-based optimization, nonlinear programming, evolutionary algorithms, surrogate-based optimization, or mixed-integer optimization
Experience working with simulation-based engineering tools and computational models
Strong programming and problem-solving skills
Preferred Qualifications
Ph.D. with demonstrated research in engineering optimization or related fields
Experience with commercial optimization codes such as CPLEX, Gurobi, modeFRONTIER, HEEDS, LS-OPT, iSight, GT-SUITE optimizer, or similar tools
Experience with surrogate modeling, reduced-order modeling, or multi-fidelity optimization
Experience 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 teams
Desired Technical Skills
Multi-objective optimization and Pareto tradeoff analysis
Engineering model formulation and simulation-based optimization
Commercial and custom optimization code development
Numerical methods, statistics, and design of experiments
Python, MATLAB, C++, or similar technical computing languages
Familiarity with finite element, multiphysics, or system-level engineering models
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 10382565
- Position Id: 634870996154f189e13550c72cd3142f
- Posted 1 day ago
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