17 часов назад
Signal Processing Engineer (RF)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Signal Processing Engineer (RF): Building algorithms and real-time analytics that detect, characterize, and identify RF emitters across radar, radio, and electronic warfare systems with an accent on DSP, machine-learning classification, and cross-module data fusion. Focus on designing electronic order-of-battle analytics, transitioning MATLAB/Python prototypes into real-time implementations, and validating performance on simulated and real-world datasets.
Location: Paris, France; on-site
Company
is a defense technology company building autonomous and scalable defense systems for allied forces.
What you will do
- Build signal-processing algorithms to detect, deinterleave, and extract parameters from intercepted RF emissions.
- Develop feature-based and machine-learning classification pipelines for emitter identification and threat-library matching.
- Design real-time electronic order-of-battle analytics covering emitters, tracks, and threat posture.
- Apply machine learning to modulation recognition, anomaly detection, and emitter fingerprinting.
- Fuse signals from radar, radio, and electronic warfare modules into a unified processing pipeline.
- Prototype algorithms in MATLAB and Python, transition them to real-time implementations with software and embedded/FPGA engineers, and validate them in laboratory and field conditions.
Requirements
- Master’s degree or PhD in Electrical Engineering, Signal Processing, Applied Mathematics, or a related field.
- 3–6 years of experience in RF or radar signal processing, ideally involving ELINT, ESM, or SIGINT.
- Strong knowledge of DSP, including spectral analysis, filtering, multi-rate processing, and statistical or adaptive signal processing.
- Proficiency in Python and/or MATLAB, with working knowledge of C/C++ for production implementation.
- Experience applying machine learning to signal-classification problems.
- Fluency in English is required. Clear communication across RF hardware, software, and data science disciplines is expected.
Nice to have
- French language skills.
- Exposure to ELINT, ESM, or SIGINT applications.
Culture & Benefits
- Work on defense systems with real-world operational impact.
- Operate in a demanding environment emphasizing rigor, ownership, execution, and technical excellence.
- Collaborate across RF hardware, software, embedded, FPGA, and data science disciplines.
- Address challenging problems in contested electromagnetic environments.
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