Wayside Object Systems Software Engineer (C++)

Shape the future of global railway signaling by developing innovative, standardized software solutions that connect the world.

For over 160 years, Siemens Mobility has been a global leader, innovating transportation solutions that move the world. We lead the way in Rolling Stock, Rail Automation & Electrification, Turnkey Systems, Intelligent Traffic Systems, and comprehensive Related Services. Through digitalization, we empower operators worldwide to create intelligent infrastructure, enhance passenger experience, and ensure unparalleled availability. Join us in transforming Mobility Management, Turnkey Projects, Electrification, Mainline & Urban Transport, and Customer Services. If you're ready to make a real impact on a more connected and sustainable future, your journey starts here.

Tu misión en nuestro equipo

Join our R&D team to design and develop standardized Wayside Object Systems for global application. You will be a key player in creating cutting-edge railway signaling technology, working collaboratively to deliver high-quality, innovative products.

You’ll make a difference by:

Managing software requirements and developing specific Siemens solutions.

Designing, implementing, and modifying software using C++ and SIL4 techniques.

Specifying tests aligned to requirements and driving test automation.

Taking ownership throughout the entire software development cycle.

Innovating and researching new technologies to enhance our products.

Your success is grounded in:

A degree in Software Engineering, Computer Science, Industrial Engineering, or Telecommunications.

Proficiency in C++ and Python programming languages.

Knowledge of generating functional requirements and managing integration environments.

Familiarity with automatic testing, continuous integration tools (Gitlab CI/CD, SonarQube), and requirements management (Polarion).

Fluency in both Spanish and English.

You’ll thrive even more if you also bring:

Experience with wayside objects, controllers, or research projects.

Knowledge of System Pillar/EULYNX, SIL2/4 development (CENELEC 50716), or security coding.

Familiarity with AI/ML techniques applied to test automation and software development.

Experience with AGILE methodologies (SCRUM), IT Security, and coding standards (MISRA C++:2023 & CERT C++).

Don't worry if you don't tick every box; your passion for software development and innovative mindset are what truly matter!

What you can expect when joining:

An environment where everyone can be their authentic selves and feel part of a team, supported by DEI Learning resources.

A hybrid work model that offers the best of both worlds: in-person collaboration and remote flexibility.

A space that values curiosity and guarantees continuous learning, with personal and professional development opportunities for everyone.

If we all thought the same, we would never think of anything new! That’s why we recruit great minds from all walks of life. We recognise that building a diverse workforce is essential to the success of our business, therefore we encourage applications from a diverse talent pool. We welcome the opportunity to discuss flexibility requirements with our applicants to encourage agile working and innovation. Flexibility is our main benefit. We combine remote and presence work because work-life balance and wellbeing are essential for our teams. We are convinced that stay at home allow us to focus on activities that need more time for concentration and being at the office enhance our creativity collaborating and learning from others.

Siemens aboga por la igualdad de oportunidades entre mujeres y hombres, así como en la Diversidad como fuente de creatividad e innovación. Contar con diferentes tipos de talento y de experiencias nos hace ser más competitivos y estar mejor preparados para responder con éxito a las demandas de la Sociedad. Por ello, valoramos a las candidatas y a los candidatos que reflejen la Diversidad que disfrutamos en nuestra Compañía y animamos la cobertura de puestos por mujeres y hombres en ocupaciones que se encuentren subrepresentadas.

Ready to shape the future of mobility? Apply now and join us!

LI-AM1