• Design and optimize algorithms for GNSS acquisition, tracking, and measurement engines to achieve best-in-class performance.
• Implement and validate algorithms on embedded platforms using C in real-time operating systems.
• Develop simulation models (floating-point and fixed-point) to analyze system performance and guide design decisions.
• Create robust software tools in MATLAB and Python for algorithm development, testing, and automation.
• Develop hardware-in-the-loop (HIL) test frameworks to continuously verify and validate firmware performance.
• Monitor and safeguard GNSS system performance during algorithm development and integration phases.
• Document and present technical findings clearly to internal teams and external stakeholders.
• Contribute to continuous improvement by following and enhancing company software engineering best practices

The ideal candidate for this role must have:

• Master’s degree in Electrical Engineering or equivalent industry experience, with 3+ years of hands-on GNSS testing experience.
• Strong knowledge of the GNSS and communication system processing chain.
• Strong Matlab/ Python and C programming skills.
• Experience with DSP algorithm implementation in real-time (chipset on embedded platform).
• Excellent communication and presentation skills in English.

Nice to have

• In-depth knowledge of GNSS acquisition, tracking, and navigation algorithms, as well as familiarity with DSP and RF concepts commonly used in communication systems.
• Multipath and interference mitigation techniques (at measurement or positioning engine level).
• Solid understanding of RF laboratory setups, including RF distribution, LNAs, splitters, and attenuators.
• Familiarity with SDR development and RFCS simulators.
• Experience with CI environments (e.g., GitLab) for automated testing.