Signal Processing Engineer (RF Processing & Analytics)

Harmattan AI
Paris
Workplace: OnsiteFull timeFunction: Data Analytics & Business IntelligenceExperience: 3-6 yearsEducation: phdSkills: ["Communication","Cross-disciplinary collaboration"]

Own RF signal processing algorithms that transform intercepted electromagnetic signals into actionable electronic order-of-battle outputs. Build detection, parameter extraction, and emitter classification pipelines using DSP and machine learning, and fuse data across Radar, Radio, and Electronic Warfare modules. Translate MATLAB/Python prototypes into real-time or near-real-time implementations with software and embedded/FPGA engineers, validating performance with simulated and field RF datasets.

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Harmattan AI
Harmattan AI
2 days ago

Signal Processing Engineer (RF Processing & Analytics)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Own RF signal processing algorithms that transform intercepted electromagnetic signals into actionable electronic order-of-battle outputs. Build detection, parameter extraction, and emitter classification pipelines using DSP and machine learning, and fuse data across Radar, Radio, and Electronic Warfare modules. Translate MATLAB/Python prototypes into real-time or near-real-time implementations with software and embedded/FPGA engineers, validating performance with simulated and field RF datasets.
Location: Paris
Workplace: Onsite
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Build algorithms to detect, deinterleave, and extract RF emission parameters (PRI, pulse width, frequency, modulation).
  • •Develop emitter classification and identification pipelines to match emitter types against threat libraries using feature-based methods and machine learning.
  • •Design analytics to convert detections into a coherent, real-time electronic order of battle (emitters, tracks, threat posture).
  • •Apply machine learning for modulation recognition, anomaly detection, and emitter fingerprinting to improve classification confidence.
  • •Implement offline-to-real-time processing pipelines and validate detection/classification performance using simulated and real-world RF datasets in lab and field-test conditions.

Key Requirements

  • •Master's or PhD in Electrical Engineering, Signal Processing, Applied Mathematics, or a related field.
  • •3-6 years of experience in RF/radar signal processing, ideally with ELINT/ESM/SIGINT exposure.
  • •Strong DSP fundamentals including spectral analysis, filtering, multi-rate processing, and statistical/adaptive signal processing.
  • •Proficiency in Python and/or MATLAB for prototyping and working knowledge of C/C++ for production implementation.
  • •Comfort applying machine learning to signal classification problems and communicating across RF hardware, software, and data science teams.
Experience:3-6 yearsDefenseRF/radarSignal processing
Education:PhD / Doctorate in Electrical Engineering, Signal Processing, Applied Mathematics
Skills:CommunicationCross-disciplinary collaboration
Languages:EnglishFrench
Tech Stack:PythonMATLABCC++Machine learningDSPSpectral analysisFilteringMulti-rate processingStatistical signal processingAdaptive signal processingFPGAElectronic warfare

Company Brief

Harmattan AI
Develops AI-driven autonomous military systems (drones, electronic warfare, ISR and mission-management software) and scales conflict-ready production for allied armed forces and defense primes.
Industry: Defense Technology
Company Size: Medium (51 to 250 employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series B
Headquarters: Paris, France
Founded: 2024
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