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.