Computational Aeroelasticity Software Developer

Computational Aeroelasticity Software DeveloperPosition OverviewCadence Design Systems is seeking a highly motivated Computational Aeroelasticity Software Developer to contribute to the development of next-generation aeroelastic and aerothermoelastic simulation technologies spanning subsonic through hypersonic flight applications. This role is ideal for a recent Ph.D. graduate, postdoctoral researcher, or early-career engineer with research experience in computational aeroelasticity, multidisciplinary simulation, scientific computing, or related fields.Key ResponsibilitiesComputational Aeroelasticity & Aerothermoelasticity DevelopmentContribute to the development, verification, validation, and deployment of advanced aeroelastic simulation capabilities, including:Low-Fidelity MethodsPanel methods, Doublet Lattice Method (DLM), and Vortex Lattice Method (VLM)Generalized aerodynamic force generationLinearized and frequency-domain aerodynamic modelingMedium-Fidelity MethodsHybrid CFD-panel methodologiesReduced-order and surrogate modelingTransonic correction techniquesTime-domain aeroelastic formulationsFlexible vehicle dynamic simulation methodsHigh-Fidelity MethodsCFD-based aeroelasticity using Euler and Navier-Stokes solversFluid-structure interaction (FSI) and CFD-CSD couplingNonlinear aeroelasticity and aerothermoelasticityHigh-speed and hypersonic aeroelastic analysisSupport the development of solutions for:Static and dynamic aeroelasticityFlutter predictionDivergence and control reversalGust response and aeroservoelasticityBuffet response and limit-cycle oscillationsNonlinear aeroelastic behaviorWork with senior technical staff to transition advanced research concepts into production-quality commercial software.Hypersonic & High-Speed Flight SimulationContribute to the development of simulation technologies for high-speed and hypersonic vehicle applications, including:Hypersonic aerodynamics and aerothermodynamicsShock-wave/boundary-layer interactionsThermal-structural coupling and aerothermoelasticityHigh-temperature flight environmentsFlight stability and control at high Mach numbersParticipate in the implementation and validation of numerical methods such as:Piston theorySupersonic and hypersonic aerodynamic methodsShock-expansion techniquesReduced-order modelsCFD-based aeroelastic methodologiesPrior research experience in one or more of these areas is highly desirable.Multidisciplinary Simulation & Structural DynamicsCollaborate with structural dynamics, CFD, and multiphysics development teams to build integrated simulation workflows.Contribute to:Modal analysis and structural dynamicsDynamic response analysisEigenvalue extraction methodsCoupled aerodynamic-structural simulationsThermal stress and buckling analysesLarge-scale finite element modelingSupport applications involving:Commercial and military aircraftRotorcraft and UAVsHypersonic vehiclesSpace and launch systemsAdvanced aerospace and defense platformsScientific Software DevelopmentDevelop robust and scalable commercial software capabilities, including:Numerical algorithms and solver developmentScientific software architectureAPIs and workflow automationMultiphysics integration frameworksVerification and validation methodologiesAutomated testing and continuous integration practicesParticipate in the full software development lifecycle from research prototype to commercial product deployment.High-Performance ComputingContribute to the development and optimization of scalable simulation technologies using:Parallel computing conceptsMPI, OpenMP, GPU, or accelerator technologiesCloud and distributed computing environmentsOptimize algorithms for large-scale engineering simulations and advanced aerospace workflows. Prior experience is beneficial but not required.Customer & Industry EngagementWork with technical experts, product teams, and customers to:Understand aerospace simulation requirementsSupport technical demonstrationsRequired QualificationsEducationPh.D. with outstanding research experience in Aerospace Engineering, Mechanical Engineering, Applied Mechanics, Computational Engineering, or a related field.Research specialization in computational aeroelasticity, aerodynamics, CFD, structural dynamics, or multidisciplinary simulation.Experience0–5 years of industrial experience, or equivalent graduate/postdoctoral research experience.Demonstrated research experience in aeroelasticity spanning low to high speed flight regimes.Experience developing research software, computational tools, or numerical simulation capabilities.Ability to translate research concepts into practical engineering solutions.Record of technical publications, research projects, or thesis work in relevant areas.Technical SkillsAerodynamicsKnowledge of potential flow methods, panel methods, DLM, or VLMUnderstanding of subsonic, transonic, supersonic, or hypersonic aerodynamicsFamiliarity with CFD fundamentals and numerical methodsAeroelasticityCoursework or research in flutter, dynamic aeroelasticity, gust response, or aeroservoelasticityFamiliarity with aeroelastic modeling and reduced-order methodsExposure to aerothermoelasticity or high-speed aeroelasticity is a plusStructural Dynamics & FEAModal analysis and structural dynamics fundamentalsFinite element methods and numerical analysisDynamic response and eigenvalue analysisSoftware DevelopmentProgramming experience in C++ and Python.Experience developing scientific or engineering software leveraging AIExperience in software engineering best practicesHigh-Performance ComputingFamiliarity with parallel computing conceptsExposure to MPI, OpenMP, CUDA, GPU computing is desirableProfessional SkillsStrong analytical and problem-solving abilitiesPassion for computational engineering and simulation technologyAbility to learn new technical domains quicklyExcellent written and verbal communication skillsAbility to work effectively in multidisciplinary teamsCustomer-focused mindset with strong collaboration skillsPreferred QualificationsPh.D. research focused on computational aeroelasticity, aerothermoelasticity, CFD, structural dynamics, or hypersonicsPublications in recognized aerospace journals or conferencesExperience with commercial or research simulation tools such as MSC Nastran, Abaqus, ZAERO, FUN3D, SU2, SCFLOW, Fidelity, CHARLES, Fluent, STAR-CCM+, CFD++, or equivalentExperience with multidisciplinary design optimization (MDO)Exposure to machine learning, AI, or reduced-order modeling techniquesExperience with HPC environments and large-scale simulationsParticipation in collaborative research programs with aerospace organizations, government laboratories, or universities