C++ GNSS Software Engineer — Signal, Receiver & Simulation

GMV; Lisboa; Híbrido; EUR 45 000 - 65 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Hybrid work model

Relocation package

Wellbeing program

Resumo da oferta

GMV, a technology leader in Global Navigation Satellite Systems, seeks a Software Engineering specialist to join the GNSS team in Lisbon, Portugal. You will contribute to design, development and validation of next-generation GNSS technologies and applications.

Your role involves building robust software for signal generation, processing, and simulator platforms, with emphasis on performance and reliability. Hybrid work options are available.

Qualificações

• Candidates should have a degree in Computer Science, Telecommunications Engineering or related field.
• Experience or strong interest in GNSS software development.
• Knowledge of C++ and multithreading/multiprocessing is required.

Responsabilidades

• Design, implement and maintain GNSS software components, tools and algorithms for signal generation, processing, receiver development and simulation.
• Translate requirements into robust, testable software solutions.
• Develop software for experimentation platforms, simulators and real-time/embedded systems.
• Create unit tests, integration tests and performance benchmarks, and support validation.
• Contribute to software architecture, documentation and process improvement.
• Perform root cause analysis of functional and performance issues.

Conhecimentos

C++

Multithreading

Software development

CUDA/OpenCL

Python

Version control (Git)

Formação académica

Computer Science or Telecommunications Engineering

Ferramentas

Git

CUDA/OpenCL

Descrição da oferta de emprego

GMV, a technology leader in Global Navigation Satellite Systems, seeks a Software Engineering specialist to join the GNSS team in Lisbon, Portugal. You will contribute to design, development and validation of next-generation GNSS technologies and applications.

Your role involves building robust software for signal generation, processing, and simulator platforms, with emphasis on performance and reliability. Hybrid work options are available.