Computational Aeroelasticity Developer
Listed on 2026-07-27
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Engineering
Aerospace / Aviation / Avionics -
Research/Development
Computational Aeroelasticity Software Developer (Early Career)
Cadence 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.
The successful candidate will work with senior MSC Nastran developers to develop, validate, and commercialize advanced simulation methods used by aerospace, defense, and space organizations worldwide.
Key Responsibilities
Computational Aeroelasticity & Aerothermoelasticity Development
Contribute to the development, verification, validation, and deployment of advanced aeroelastic simulation capabilities, including:
- Panel methods, Doublet Lattice Method (DLM), and Vortex Lattice Method (VLM)
- Generalized aerodynamic force generation
- Linearized and frequency-domain aerodynamic modeling
Medium-Fidelity Methods
- Hybrid CFD-panel methodologies
- Reduced-order and surrogate modeling
- Transonic correction techniques
- Time-domain aeroelastic formulations
- Flexible vehicle dynamic simulation methods
High-Fidelity Methods
- CFD-based aeroelasticity using Euler and Navier-Stokes solvers
- Fluid-structure interaction (FSI) and CFD-CSD coupling
- Nonlinear aeroelasticity and aerothermoelasticity
- High-speed and hypersonic aeroelastic analysis
Support the development of solutions for:
- Static and dynamic aeroelasticity
- Flutter prediction
- Divergence and control reversal
- Gust response and aeroservoelasticity
- Buffet response and limit-cycle oscillations
- Nonlinear aeroelastic behavior
Work with senior technical staff to transition advanced research concepts into production-quality commercial software.
Hypersonic & High-Speed Flight Simulation
Contribute to the development of simulation technologies for high-speed and hypersonic vehicle applications, including:
- Hypersonic aerodynamics and aerothermodynamics
- Shock-wave/boundary-layer interactions
- Thermal-structural coupling and aerothermoelasticity
- High-temperature flight environments
- Flight stability and control at high Mach numbers
Participate in the implementation and validation of numerical methods such as:
- Piston theory
- Supersonic and hypersonic aerodynamic methods
- Shock-expansion techniques
- Reduced-order models
- CFD-based aeroelastic methodologies
Prior research experience in one or more of these areas is highly desirable.
Multidisciplinary Simulation & Structural Dynamics
Collaborate with structural dynamics, CFD, and multiphysics development teams to build integrated simulation workflows.
Contribute to:
- Modal analysis and structural dynamics
- Dynamic response analysis
- Eigenvalue extraction methods
- Coupled aerodynamic-structural simulations
- Thermal stress and buckling analyses
- Large-scale finite element modeling
Support applications involving:
- Commercial and military aircraft
- Rotorcraft and UAVs
- Hypersonic vehicles
- Space and launch systems
- Advanced aerospace and defense platforms
Scientific Software Development
Develop robust and scalable commercial software capabilities, including:
- Numerical algorithms and solver development
- Scientific software architecture
- APIs and workflow automation
- Multiphysics integration frameworks
- Verification and validation methodologies
- Automated testing and continuous integration practices
Participate in the full software development lifecycle from research prototype to commercial product deployment.
High-Performance Computing
Contribute to the development and optimization of scalable simulation technologies using:
- Parallel computing concepts
- MPI, OpenMP, GPU, or accelerator technologies
- Cloud and distributed computing environments
Optimize algorithms for large-scale engineering simulations and advanced aerospace workflows. Prior experience is beneficial but not required.
Customer & Industry Engagement
Work with technical experts, product teams, and customers to:
- Understand aerospace simulation requirements
- Support technical demonstrations
Required Qualifications
Educat…
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