Signal monitoring and analysis software for military and government intelligence
PROCITEC builds go2signals, an all-in-one platform for automated wireless signal monitoring, classification, and analysis across HF and V/UHF bands. The tech stack—Python, TensorFlow, PyTorch, C++, Qt, plus containerization and observability tooling (Docker, Kubernetes, Grafana)—reflects a machine-learning-first approach to signal recognition and decoding. Engineering dominates the hiring mix (12 of 15 active roles), with project focus split between prototype radio-signal classifiers and performance-critical C++ components, suggesting PROCITEC is scaling toward more autonomous signal analysis while managing real-time computational demands.
PROCITEC is a 51–200-person public company founded in 1999 and based in Pforzheim, Germany. The core product, go2signals, is a modular, scalable software suite for Communications Intelligence (COMINT), Cyber and Electromagnetic Activities (CEMA), and Electronic Warfare Support Measures (CESM). It processes signals across the full spectrum from SLF to SHF, with particular focus on HF and V/UHF bands. The platform ships as both OEM-embedded and off-the-shelf configurations, with API or UI integration options. End-users are military and government organizations worldwide. PROCITEC operates a Germany-only hiring footprint and is managing compliance challenges including cyber resilience regulations and export control requirements.
Python, TensorFlow, PyTorch, scikit-learn, C++, Qt, Jenkins, GitLab CI/CD, Docker, Kubernetes, PostgreSQL, Grafana, and Linux/RHEL. Observability spans CheckMK, Grafana, and Observium.
Radio signal classification prototypes, signal analysis algorithm development, C++ performance-critical components for demodulation/decoding, Python analysis tools, digital signal processing algorithms, and nationwide IT system roll-out for government customers.
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