Remoto: Trabajo híbrido

Overview¿Tiene las cualificaciones y habilidades adecuadas para este trabajo? Descúbralo a continuación y pulse en "solicitar" para ser considerado.You will lead GPU-accelerated GNSS signal processing within distributed server architectures. You will work across GPU optimisation, distributed GNSS receiver design, and high‑speed data transmission over networks. The role blends advanced parallel computing, hardware acceleration, and scalable software for space-grade GNSS solutions. Join a mission-driven team expanding GNSS capabilities in the space sector and influence performance and efficiency at scale.Compensaciones / BeneficiosHybrid working model8 weeks teleworking per yearRelocation packageHealth,



dental and accident insuranceTraining and language learning supportCompetitive compensationResponsabilidadesSupport implementation and optimisation of GNSS signal processing algorithms on GPUsAssist in designing distributed architectures for GNSS receiversContribute to data transmission and synchronisation mechanisms over high‑speed networksRequisitos principalesParallel programming with CUDA, memory management, performance analysis and profilingDevelop data transmission solutions xcgbitx over high-speed networks (10GbE) using Xilinx FPGAsSoftware for distributed architectures deployed on containersSystems programming languages (C/C++ and/or Rust)CUDA parallel programmingmemory managementperformance analysis and profilinghigh-speed networking (10GbE)Xilinx FPGA developmentdistributed architectures

📌 Senior High-Performance Computing and GPU Development Engineer (Barcelona)
🏢 Jobrapido
📍 Barcelona