Hybrid GNSS Signal Processing Software Engineer

GMV; Lisboa; Híbrido; EUR 40 000 - 60 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Hybrid working model

Relocation package

Language learning support

Flexible hours

Wellbeing program

Competitive compensation

Resumo da oferta

GMV, a technology leader in GNSS, seeks a Software Engineering specialist to contribute to design, development and validation of nextgeneration GNSS technologies in a hybrid Lisbon-based team.

You will work on signal generation, processing and receiver development, translating requirements into robust software and building tests for robust performance across embedded systems and simulators.

Qualificações

• Bachelor's degree in Computer Science, Telecommunications Engineering, or related field.
• Experience or strong interest in software development for satellite navigation.
• Proficient in C++ and multithreading; ability to develop robust software.
• Nice to have CUDA/OpenCL, Python, CI, and version control skills.

Responsabilidades

• Design, implement and maintain GNSS software components and simulations.
• Translate requirements into robust, testable software solutions.
• Develop software for experimentation platforms, simulators, and embedded systems.
• Create unit/integration tests and support system validation.
• Contribute to software architecture, docs and process improvements.
• Perform root cause analysis of issues in functional and performance areas.

Conhecimentos

C++

Multithreading

CUDA/OpenCL

Python

Git

CI/CD

Formação académica

Bachelor's degree in Computer Science

Telecommunications Engineering

Ferramentas

Git

Descrição da oferta de emprego

GMV, a technology leader in GNSS, seeks a Software Engineering specialist to contribute to design, development and validation of nextgeneration GNSS technologies in a hybrid Lisbon-based team.

You will work on signal generation, processing and receiver development, translating requirements into robust software and building tests for robust performance across embedded systems and simulators.