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Volume Meshing Software Engineer

Pubblicato il 02-10-2026 - Siemens Digital Industries Software in Milano

Siemens Digital Industries Software is seeking a software development professional with experience in the development of CAE (Computer Aided Engineering) Applications to contribute to our Simcenter STAR-CCM+ meshing software. Simcenter STAR-CCM+ is a highly scalable, general purpose, multi-physics application that provides an end-to-end user experience with integrated CAD (Computer Aided Design), meshing, physics modeling and in situ post processing tools.

Per una comprensione completa di questa possibilità e dei requisiti per essere un candidato di successo, continui a leggere.
As a member of the Volume Meshing team, you will be working on generating volume meshes for simulation. Types of volume meshes we develop are Tetrahedral and Dualized Tetrahedral meshes with Boundary Layer Meshers and Cartesian Cut Cell with Boundary Layers
This work may include but not be limited to:
- Adapting algorithms for MPI parallelization and scalability
- Advancing the quality of generated meshes
- Extending anisotropic boundary layer generation capabilities





We will help you achieve your goals by working alongside knowledgeable teammates across global locations who generously share their expertise to help you learn STAR-CCM+, develop high-quality software, and deepen your understanding of the evolving engineering and business needs our customers face.
What you'll be working on:
As part of the Volume Meshing team, you will help develop the technology behind the generation of high-quality volume meshes for simulation. This includes tetrahedral and dualized tetrahedral meshing with boundary layer generation, as well as Cartesian cut-cell meshing technologies.
Your work may include:
- Collaborating with product managers, application specialists, and software engineers to understand customer needs and product requirements.
- Designing and implementing meshing capabilities in STAR-CCM+.
- Developing and optimizing algorithms for distributed-memory parallel computing (MPI).
- Advancing m

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