Job ID: 523669Location: Tres Cantos, Madrid, SpainCompany: SiemensA continuación, encontrará un desglose completo de todo lo que se requiere de los posibles candidatos, así como la forma de presentar su candidatura. Mucha suerte C++ Software Engineer - Critical Railway Systems Job ID 523669 Posted since 24-Sep-2026 Organization Mobility Field of work Research & Development Company SIEMENS MOBILITY, S.L.U. Experience level Mid-level Professional Job type Full-time Work mode Hybrid (Remote/Office) Employment type Permanent Location(s) Tres Cantos - Madrid - Spain Code the technology that safely moves millions of people every day.For over 160 years, Siemens Mobility has been a general 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.Your mission in our team Joining our Rail Signalling team, you will develop highly secure C++ software for critical railway control systems. Your code will directly impact the safety, reliability, and efficiency of global transit networks, shaping the future of mobility.You’ll make a difference byDeveloping and evolving C++ software components applying best engineering practices for SIL4 safety-critical systems.Driving the complete software lifecycle: from specification, design, and coding to integration, validation, and customer support.Exploring and implementing AI-based solutions to automate tasks, optimize testing, and boost engineering capabilities.Collaborating with international,
📌 C++ Software Engineer (Madrid)
🏢 Isprox
📍 Madrid