We are Siemens
Siemens Digital Industries Software is a leading provider of solutions for the design, simulation, and manufacture of products across many different industries. Formula 1 cars, skyscrapers, ships, space exploration vehicles, and many of the objects we see in our daily lives are being conceived and manufactured using our Product Lifecycle Management (PLM) software.
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 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




Familiarity with deep learning frameworks such as PyTorch, TensorFlow, or JAX.
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.
At Siemens Software, flexibility is how we work—hybrid by default, built on trust and autonomy. Together, 30,000 people across more than 200 countries build technology that shapes the real world. You'll grow through real projects, strong technical peers, and global mobility, backed by the scale and benefits of an industrial software leader. The actual compensation offered is based on the successful candidate's job-related skills, experience, and relevant education/training. For such locations, the applicable salary ranges and benefits will be disclosed by the Talent Acquisition Partner at the time of initial contact, in accordance with local legal requirements.
Our Commitment to Equity and Inclusion in our Diverse Integral Workforce Siemens is an equal opportunity employer. Siemens Software.

📌 Scientific Software Engineer - Cloud & Integration H/F (Barcelona)
🏢 Siemens Digital Industries Software
📍 Barcelona