Computational Aeroelasticity Developer
$98,000–$182,000 year
On-siteIrvine, California, United States or Pune, Maharashtra, India
Job Summary
Contribute to the development, verification, validation, and deployment of advanced aeroelastic and aerothermoelastic simulation technologies spanning subsonic through hypersonic flight applications. Develop low-, medium-, and high-fidelity methods including panel methods, CFD-based aeroelasticity, and fluid-structure interaction to support flutter prediction, divergence analysis, and gust response modeling. Collaborate with senior technical staff to transition research concepts into production-quality commercial software and work with multidisciplinary teams to build integrated workflows for modal analysis, thermal stress, and large-scale finite element modeling. Optimize scalable simulation technologies using parallel computing concepts and GPU accelerators. This role is ideal for a recent Ph.D. graduate or early-career engineer with research experience in computational aeroelasticity, multidisciplinary simulation, and scientific computing.
Required Qualifications
- Ph.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
- 0–5 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
- Knowledge of potential flow methods, panel methods, DLM, or VLM
- Understanding of subsonic, transonic, supersonic, or hypersonic aerodynamics
- Familiarity with CFD fundamentals and numerical methods
- Coursework or research in flutter, dynamic aeroelasticity, gust response, or aeroservoelasticity
- Familiarity with aeroelastic modeling and reduced-order methods
- Exposure to aerothermoelasticity or high-speed aeroelasticity
- Modal analysis and structural dynamics fundamentals
- Finite element methods and numerical analysis
- Dynamic response and eigenvalue analysis
- Programming experience in C++ and Python
- Experience developing scientific or engineering software
- Knowledge of software engineering best practices
- Familiarity with parallel computing concepts
- Exposure to MPI, OpenMP, CUDA, GPU computing
Desired Qualifications
- Prior research experience in one or more of these areas
- Ph.D. research focused on computational aeroelasticity, aerothermoelasticity, CFD, structural dynamics, or hypersonics
- Publications in recognized aerospace journals or conferences
- Experience with commercial or research simulation tools such as MSC Nastran, Abaqus, ZAERO, FUN3D, SU2, SCFLOW, Fidelity, Charles, Fluent, STAR-CCM+, CFD++, or equivalent
- Experience with multidisciplinary design optimization (MDO)
- Experienced in leveraging AI for development
- Reduc-order modeling techniques
- Experience with HPC environments and large-scale simulations
- Participation in collaborative research programs with aerospace organizations, government laboratories, or universities
- Exposure to MPI, OpenMP, CUDA, GPU computing is desirable
- Experience with HPC environments and large-scale simulations
- Participation in collaborative research programs with aerospace organizations, government laboratories, or universities
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