Scientific Software Engineer - Cloud & Integration H/F
Ocupare deplină
Siemens España
Scientific Software Engineer - Cloud & Integration H/F
Detalles del Puesto
- ID de Puesto : 526634
- Publicado desde : 26-Oct-2026
- Organización : Digital Industries
- Ámbito de trabajo : Research & Development
- Empresa : Siemens Industry Software NV
- Nivel de experiencia : Profesional Experimentado
- Tipo de jornada : Jornada completa
- Modalidad de trabajo : Híbrido (remoto/oficina)
- Tipo de contrato : Indefinido
- Ubicación(es) :
- Barcelona - Barcelona - España
- Brasov - Brașov - Rumania
- Breda - Brabante Septentrional - Países Bajos
- Bucarest - Bucarest - Rumania
- Leuven - - Bélgica
- Liège - Lieja - Bélgica
- Lyon - Auvernia-Ródano-Alpes - Francia
- Thessaloniki - Macedonia Central - Grecia
- Be part of a multidisciplinary team developing state-of-the-art AI-powered engineering solutions.
- Collaborate closely with product management, research, and user experience teams to bring innovative technologies to a fast-growing product.
- Contribute to software engineering initiatives, helping ensure high-quality solutions and timely delivery.
- Design, build, and optimize high-performance machine learning pipelines to efficiently harvest and process simulation and test data.
- A problem-solving mindset, eagerness to collaborate, and a passion for continuous learning
- A degree in Computer Science, Engineering, Mathematics, or a related technical field
- Extensive experience in software engineering, with a demonstrated track record of delivering high-quality software solutions
- Strong proficiency in Python and solid knowledge of C++
- A strong understanding of data structures, design patterns, object-oriented programming, ORM, and databases
- The ability to write clean, modular, and well-tested code
- Comfort working across both Windows and Linux environments
- Excellent verbal and written communication skills
- Familiarity with deep learning frameworks such as PyTorch, TensorFlow, or JAX.
- Experience applying and implementing numerical methods and algorithms in real-world engineering contexts.
- Experience working with parallel and high-performance computing technologies, including multi-threading, MPI, or CUDA.
- Experience optimizing, debugging, and profiling high-performance applications to maximize efficiency and scalability.
- A proven track record of translating numerical methods from academic research into practical software solutions.
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