Junior High-Performance Computing and GPU Development Engineer (GNSS)

Location: Hybrid positions available in Tres Cantos, Madrid, Spain, and Hospitalet de Llobregat, Barcelona, Spain. Up to 8 weeks per year of teleworking outside the usual geographical area.

Company

Space-sector engineering organization developing advanced systems and software for aerospace applications.

What you will do

• Support the implementation and optimization of GNSS signal-processing algorithms on GPUs.
• Contribute to the design of distributed architectures for GNSS receivers deployed on server infrastructure.
• Design and implement data transmission and synchronization mechanisms over high-speed networks.
• Work with parallelized processing, GPUs, FPGAs, distributed systems, and high-speed network technologies.

Requirements

• Experience with parallel programming using CUDA, including memory management, performance analysis, and profiling.
• Experience developing data-transmission solutions over 10GbE high-speed networks using Xilinx FPGAs.
• Experience with software for distributed architectures deployed in containers.
• Programming experience in C, C++, and/or Rust.
• Professional or academic experience in GPU processing, FPGAs, high-speed networks, or distributed systems.

Culture & Benefits

• Hybrid working model with flexible start and finish times.
• Intensive working hours on Fridays and during the summer.
• Personalized career development plan, training, and language-learning support.
• National and international mobility opportunities, with a relocation package available for candidates coming from another country.
• Competitive compensation with regular reviews, flexible compensation, brand discounts, health, dental, and accident insurance, and wellbeing programs.

Hiring process

• Recruitment includes telephone and personal contact with the talent acquisition team, either face-to-face or online.