Radio Frequency Signal Engineer

As the RF Signal Engineer in the Advanced Signal Processing Group, you will be at the forefront of developing and implementing cutting-edge signal processing and geolocation algorithms. You'll work directly with data from Spire's global fleet of Low Earth Orbit satellites, enhancing our TDOA/FDOA-based RF geolocation pipeline and developing new RF intelligence applications. Your contributions will directly impact our commercial and government customers by providing them with invaluable insights and strengthening our position as a leader in space-based data analytics. This role is a unique opportunity to be one of the foundational members of a growing team and shape the future of our RF intelligence capabilities.

Required Qualifications:

• RF Digital Signal Processing (DSP): Apply deep theoretical and practical expertise in DSP for radio frequency applications, including modulation/demodulation, filtering, and spectral analysis.
• C++ Programming: Develop and maintain high-performance, production-grade algorithms and software pipelines using modern C++.
• Geolocation Algorithms (TDOA/FDOA): Strong theoretical understanding and/or hands-on experience with Time Difference of Arrival (TDOA) and Frequency Difference of Arrival (FDOA) geolocation techniques.
• Problem-Solving & Research: Demonstrable ability to tackle complex, open-ended problems by moving from theoretical concepts and whitepapers to practical, implemented solutions.

Additional Qualifications

• NVIDIA CUDA: Experience in developing and optimizing algorithms using NVIDIA's CUDA platform for GPU acceleration.
• Python Programming: Familiarity with Python for data analysis, rapid prototyping, and building supporting infrastructure tools.
• Experience with Satellite Signals: Prior experience working with RF signals collected from Low Earth Orbit (LEO) satellites or other aerospace platforms provides valuable context for our mission.
• Machine Learning (AI): Knowledge of machine learning models and frameworks (e.g., PyTorch, TensorFlow) for emerging applications like signal classification or voice extraction/transcription.

Spire operates a hybrid work model, and this position will require you to work a minimum of three days per week in the office.

Access to US export-controlled software and/or technology may be required for this role. If needed, Spire will arrange the necessary licenses—this is not something candidates need to have before applying. #LI-RK1