Senior High-Performance Computing and GPU Development Engineer

GMV; Barcelona; Hybrid; EUR 55,000 - 75,000; Full time

Benefits offered by this job

Hybrid working model

relocation package

Health, dental and wellbeing programs

Flexible working hours

Job summary

GMV in Barcelona is seeking an engineer to design, develop and fine-tune a GNSS receiver on a distributed server architecture using GPUs. You will optimise signal processing algorithms, contribute to distributed architectures and ensure high-speed data transmission and synchronization across networks.

We look for experts in CUDA, GPUs, FPGAs, distributed systems, and C/C++/Rust. The role offers a hybrid working model and relocation options for international mobility.

Qualifications

• Experience with CUDA, memory management and profiling.
• Developing data transmission over 10GbE networks using FPGAs.
• Software for distributed architectures deployed in containers.
• Proficiency in C/C++ and/or Rust.

Responsibilities

• Support implementation and optimisation of signal processing algorithms on GPUs.
• Support design of distributed GNSS receiver architectures.
• Support data transmission and synchronization over high-speed networks.

Skills

CUDA parallel programming

GPU optimization

FPGAs

Distributed systems

High-speed networks

C/C++

Rust

Containers

Tools

Containers

Job description

Do you want to lead a consolidated team in the space sector and take on new challenges? GMV is an experienced technology group.

We are expanding our teams in the space sector to take on GNSS projects.

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 financial health training, and much more!

In our recruitment processes you will always have telephone and personal contact, face-to-face or online, with our talent acquisition team. In addition, bank transfers and bank cards will never be requested. If you are contacted through any other process, please write to our team at [e-mail]

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.