Junior High-Performance Computing and GPU Development Engineer

GMV; Tres Cantos; Hybrid; EUR 55,000 - 90,000; Full time

Benefits offered by this job

Hybrid work

Relocation package

Flexible hours

Career development

Language learning support

Teleworking 8 weeks/yr

Wellbeing program

Competitive compensation with reviews

Diversity & inclusion

Job summary

GMV is expanding its space-sector teams in Spain to design and optimize GNSS receivers deployed on a distributed server architecture using GPUs. The role focuses on GPU-accelerated signal processing, parallel data processing, and high-speed networking within a containerised environment.

You will work with CUDA-based development, Xilinx FPGA data paths, and C/C++ or Rust to implement, test and tune distributed GNSS solutions.

Qualifications

• Experience with GPU-accelerated signal processing and GNSS systems.
• Familiarity with distributed server architectures and containers.
• Proficiency in C/C++ and/or Rust; experience with systems programming.

Responsibilities

• Support implementation and optimisation of GNSS signal processing on GPUs.
• Assist designing distributed GNSS receiver architectures.
• Develop data transmission and synchronization mechanisms over high-speed networks.

Skills

CUDA

Memory management

Performance analysis

Profiling

Xilinx FPGAs

C/C++

Rust

Distributed architectures

Containers

High-speed networks

Tools

CUDA GPUs

Xilinx FPGAs

Containers

Job description

If the expression “Houston, we have a problem” gives you chill bumps... Your place is here!

We are expanding our teams in the space sector

We´ll get to the point; we'll tell you what's not on the web. If you want to know more about us go to GMV website

WHAT CHALLENGE WILL YOU BE TAKING ON?

You will be involved in the design, development and fine-tuning of a GNSS receiver deployed on a distributed server architecture using GPUs for GNSS signal processing. We are looking for candidates with professional or academic experience in one or more of the following areas: parallelised data processing using GPUs, FPGAs, high-speed networks and distributed systems. We are looking for a technical candidate with an interest in optimising signal processing techniques using GPUs, distributed architectures and high-speed networks.

Your responsibilities will include:

• Supporting the implementation and optimisation of signal processing algorithms on GPUs.
• Supporting the design of distributed architectures for GNSS receivers.
• Supporting the design and implementation of data transmission and synchronisation mechanisms over high-speed networks.

WHAT DO WE NEED IN OUR TEAM?

We are looking for engineers with experience in the following areas:

• 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).

WHAT DO WE OFFER?

Hybrid working model and 8 weeks per year of teleworking outside your usual geographical area.

Flexible start and finish times, and intensive working hours Fridays and in summer.

Personalized career plan development, training and language learning support.

National and international mobility. Do you come from another country? We can offer you a relocation package.

Competitive compensation with ongoing reviews, flexible compensation and discount on brands.

Wellbeing program: Health, dental and accident insurance; free fruit and coffee, physical, mental and financialhealth training, and much more!

We promote equal opportunities in recruitment, and we are committed to inclusion and diversity.

WHAT ARE YOU WAITING FOR? JOIN US

If you have any questions please do not hesitate to contact Ignacio Martínez de Salinas, in charge of this vacancy.

Ignacio Martínez de Salinas