Overview 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 / Ventajas

Hybrid working model 8 weeks per year teleworking Flexible start and finish times Relocation package Health, dental and accident insurance Training and language learning support

Responsabilidades





Support implementation and optimization of signal processing algorithms on GPUs Assist in designing distributed architectures for GNSS receivers Contribute to data transmission and synchronization mechanisms over high‑speed networks

Requisitos principales

Parallel programming with CUDA Memory management, performance analysis and profiling Development of solutions for transmitting data over high‑speed networks (10GbE) using Xilinx FPGAs Software for distributed architectures deployed on containers Systems programming languages (C/C++ and/or Rust) CUDA parallel programming Xilinx FPGA-based high-speed network data transmission Distributed architectures and containers C/C++ and/or Rust GPU-accelerated signal processing High-speed networking (10GbE)

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