Computational Aeroelasticity Developer

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Computational Aeroelasticity Developer

Cadence Design Systems

Location

PUNE 05

Experience

Entry

Posted

Jul 30, 2026

Apply by

August 29, 2026

Applicants

0

Early applicantEasy applyFull-timeWork from Office

Job Description

## At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. Computational Aeroelasticity Software Developer Position Overview 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. Key Responsibilities Computational Aeroelasticity & Aerothermoelasticity Development Contribute to the development, verification, validation, and deployment of advanced aeroelastic simulation capabilities, including: Low-Fidelity Methods - 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 Education - 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. Experience - 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. Technical Skills Aerodynamics - 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 Aeroelasticity - 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 is a plus Structural Dynamics & FEA - Modal analysis and structural dynamics fundamentals - Finite element methods and numerical analysis - Dynamic response and eigenvalue analysis Software Development - Programming experience in C++ and Python. - Experience developing scientific or engineering software leveraging AI - Experience in software engineering best practices High-Performance Computing - Familiarity with parallel computing concepts - Exposure to MPI, OpenMP, CUDA, GPU computing is desirable Professional Skills - Strong analytical and problem-solving abilities - Passion for computational engineering and simulation technology - Ability to learn new technical domains quickly - Excellent written and verbal communication skills - Ability to work effectively in multidisciplinary teams - Customer-focused mindset with strong collaboration skills Preferred Qualifications - 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) - Exposure to machine learning, AI, or reduced-order modeling techniques - Experience with HPC environments and large-scale simulations - Participation in collaborative research programs with aerospace organizations, government laboratories, or universities ## We’re doing work that matters. Help us solve what others can’t.

Key Responsibilities

  • Develop and deploy advanced aeroelastic and aerothermoelastic simulation capabilities including low, medium, and high-fidelity methods.
  • Support the transition of advanced research concepts into production-quality commercial software.
  • Contribute to hypersonic and high-speed flight simulation technologies including shock-wave interactions and thermal-structural coupling.
  • Collaborate with structural dynamics and CFD teams to build integrated simulation workflows for aircraft, UAVs, and space systems.
  • Develop robust scientific software capabilities including numerical algorithms, APIs, and verification/validation methodologies.
  • Optimize scalable simulation technologies using parallel computing concepts and high-performance computing environments.

Requirements

  • Ph.D. in Aerospace Engineering
  • Mechanical Engineering
  • Applied Mechanics
  • Computational Engineering
  • or a related field

Skills Required

C++PythonPanel methodsDoublet Lattice MethodVortex Lattice MethodCFD fundamentalsFlutter analysisDynamic aeroelasticityFinite element methodsModal analysisStructural dynamicsParallel computingMPIOpenMPCUDAGPU computingAnalytical abilitiesProblem-solvingCommunicationCollaborationCustomer-focused mindsetMSC NastranAbaqusZAEROFUN3DSU2SCFLOWFidelityCHARLESFluentSTAR-CCM+CFD++Multidisciplinary design optimizationMachine learningAIReduced-order modelingHPC environments

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