Overview In this role you will design and advance high-precision GNSS positioning and navigation algorithms, leveraging modern C++ and Python tools. You will integrate navigation solutions with GNSS receivers and sensors across hardware platforms, contribute to R&D; in state-of-the-art positioning and sensor fusion, and validate performance through field tests. You’ll work with cross-functional teams in a hybrid/relocation-friendly environment to drive innovative navigation capabilities for space-related applications. Compensaciones / Incentivos * Hybrid working model * Relocation package * Health, dental and accident insurance * Flexible hours * Career plan development and language learning support * Wellbeing program Responsabilidades * Design, develop, and maintain GNSS positioning and navigation algorithms * Enhance PNT/GNSS engine using modern C++ * Analyze algorithm performance with real and simulated data * Integrate GNSS receivers, IMUs,
and other sensors into hardware platforms * Participate in R&D; activities on positioning and sensor fusion * Validate algorithms via field testing and performance analysis * Develop Python tools for data processing, testing, and automation * Collaborate with multidisciplinary teams to integrate navigation solutions Requisitos principales * Graduates in Aerospace Engineering, Telecommunications Engineering, Computer Science, Electrical Engineering, Mathematics, Physics or related discipline * Experience in modern C++ software development * Experience in Python for data analysis, scripting, or automation * Experience in developing technical software or algorithm-based solutions * Strong analytical and problem-solving skills * Experience working in Linux environments and with Git * Strong analytical and problem-solving abilities * Collaborative, able to work with multidisciplinary teams * adaptability and initiative * Modern C++ * Python for data analysis, scripting, or automation * GNSS, PNT, and sensor fusion concepts
📌 GNSS & Sensor Fusion Software Engineer (Madrid)
🏢 GMV
📍 Madrid