Remoto: Trabajo híbrido

Overview¿Es usted el solicitante adecuado para esta ocasión? Descúbralo leyendo el resumen del puesto a continuación.In this role you will help design, implement and optimize GNSS signal processing on a GPU-accelerated, distributed server platform. You will collaborate with cross-functional teams to shape the GNSS receiver software stack and its high‑performance execution. The role focuses on boosting performance, scalability, and reliability of GPU-accelerated pipelines in a space-oriented context. This is a hands-on, impact-focused opportunity to contribute to advanced GNSS solutions at scale.Compensaciones / BeneficiosHybrid working model8 weeks per year teleworkingFlexible start and finish timesRelocation packageHealth,



dental and accident insuranceTraining and language learning supportResponsabilidadesSupport implementation and optimization of signal processing algorithms on GPUsAssist in designing distributed architectures for GNSS receiversContribute to data transmission and synchronization mechanisms over high‑speed networksRequisitos principalesParallel programming with CUDAMemory management, performance analysis and profilingDevelopment of solutions for transmitting data over high‑speed networks xcgbitx (10GbE) using Xilinx FPGAsSoftware for distributed architectures deployed on containersSystems programming languages (C/C++ and/or Rust)CUDA parallel programmingXilinx FPGA-based high-speed network data transmissionDistributed architectures and containersC/C++ and/or RustGPU-accelerated signal processingHigh-speed networking (10GbE)

📌 Junior High-Performance Computing and GPU Development Engineer - barcelona
🏢 Jobrapido
📍 Barcelona