Junior High-Performance Computing and GPU Development Engineer

Descripción del empleo

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.

• 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

• 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

• 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)

Información extra

Status

Activa

Estudios requeridos

E.S.O

Localización

Barcelona

Tipo de contrato

Tiempo completo

Publicado el

04-10-2026

Carnet de conducir

No

Vehículo

No

Carta de motivación

No