Software Engineer C++ CUDA – CFD & HPC (F/M)

Dassault Systèmes

Comunidad de Madrid

Presencial

EUR 70.000 - 95.000

Jornada completa

Hace 3 días
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Descripción de la vacante

Dassault Systèmes SIMULIA in Madrid is seeking a Software Engineer specializing in C++ and CUDA to advance CFD and HPC technologies. You will design, develop and optimize software for multi-GPU simulations, collaborating with scientists to deliver high-quality simulation tools for end users.

You should have strong C++/CUDA on Linux, a solid CFD background and experience in HPC workflows. The role offers an opportunity to tackle challenging numerical methods and state-of-the-art GPU programming

Formación

  • Hands-on professional or academic experience developing in C++ and CUDA on Linux
  • Background in scientific programming and familiarity with High Performance Computing (HPC)
  • Strong analytical skills and a solid mathematical background
  • Knowledge of Computational Fluid Dynamics (CFD) and fluid flow simulation is a plus
  • Familiarity with one or more fluid simulation approaches, such as Lattice Boltzmann, Navier-Stokes, SPH or DEM, is a plus
  • Experience contributing to CFD software or implementing physical models within a commercial or academic CFD environment is a plus
  • Familiarity with modern source code management and DevOps practices
  • Ability to collaborate effectively with specialists from diverse scientific and technical backgrounds
  • Curiosity, analytical thinking and a willingness to learn and take on new technical challenges

Responsabilidades

  • Design, develop and continuously improve software to deliver high-quality applications, services and technologies for end users
  • Contribute to CFD algorithms and GPU development for HPC-based simulations
  • Collaborate with scientists and engineers to address complex simulation challenges

Conocimientos

C++
CUDA
Linux
HPC

Educación

Master’s degree in Computer Science, Engineering, Applied Mathematics or related field

Descripción del empleo

Software Engineer C++ CUDA – CFD & HPC (F/M)

Powered by the 3DEXPERIENCE® platform, SIMULIA delivers realistic simulation applications that enable users to better understand and predict the behavior of the world around us.

SIMULIA applications accelerate the evaluation of the performance, reliability and safety of materials and products, helping our customers make informed decisions before committing to physical prototypes.

At Dassault Systèmes, we empower our employees and support their passion for changing the world and building the future. Join us and help design new horizons through the power of 3DEXPERIENCE virtual universes!

Position based in Madrid, Spain

Your missions :
As a Software Engineer, you will design, develop and continuously improve software to deliver high-quality applications, services and technologies that provide value to end users.

You will contribute to improving our solutions based on usage and user feedback, while working on advanced technologies at the intersection of software development, simulation and High Performance Computing.

Rapid execution of complex simulations is a key component of the SIMULIA MODSIM approach and an essential requirement for competitive simulation solutions.

To accelerate the deployment of multi-GPU simulation solutions, we are looking for a Software Engineer to join a team focused on High Performance Computing (HPC), with a particular emphasis on GPU development for fluid simulation technologies.

In this role, you will contribute to the development and optimization of software running on GPU-based computing architectures. You will work with C++ and CUDA and collaborate with specialists from different scientific and technical backgrounds to address complex simulation challenges.

You will have the opportunity to work on CFD algorithms and approaches, including one or more of the following:

  • Lattice Boltzmann methods;
  • Continuum approaches to Navier-Stokes, including finite volume or finite element methods;
  • Lagrangian formulations, such as SPH or DEM;
  • Ray tracing methods;
  • Linear equation solvers.

A strong analytical mindset and a solid mathematical background will help you address complex technical challenges. Knowledge of Computational Fluid Dynamics algorithms and experience implementing physical models within commercial or academic CFD infrastructures will be valuable assets.

Your qualifications :
Master’s degree in Computer Science, Engineering, Applied Mathematics or a related field, with 6 years of relevant coding or software development experience

  • Hands-on professional or academic experience developing in C++ and CUDA on Linux
  • Background in scientific programming and familiarity with High Performance Computing (HPC)
  • Strong analytical skills and a solid mathematical background
  • Knowledge of Computational Fluid Dynamics (CFD) and fluid flow simulation is a plus
  • Familiarity with one or more fluid simulation approaches, such as Lattice Boltzmann, Navier-Stokes, SPH or DEM, is a plus
  • Experience contributing to CFD software or implementing physical models within a commercial or academic CFD environment is a plus
  • Familiarity with modern source code management and DevOps practices
  • Ability to collaborate effectively with specialists from diverse scientific and technical backgrounds
  • Curiosity, analytical thinking and a willingness to learn and take on new technical challenges
Inclusion statement

As a game-changer in sustainable technology and innovation, Dassault Systèmes is striving to build more inclusive and diverse teams across the globe. We believe that our people are our number one asset and we want all employees to feel empowered to bring their whole selves to work every day. It is our goal that our people feel a sense of pride and a passion for belonging. As a company leading change, it’s our responsibility to foster opportunities for all people to participate in a harmonized Workforce of the Future.

Powered by the 3DEXPERIENCE® Platform, SIMULIA delivers realistic simulation applications that enable users to reveal the world we live in.

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