Signal Processing Engineer (RF Processing & Analytics)
Signal Processing Engineer (RF Processing & Analytics) has an opening for a Signal Processing Engineer (RF Processing & Analytics) in Paris, France. It is listed as a full-time position.
DGJ summary of this job
Our own short read of this listing, built only from the facts it gives. The employer’s original text follows further down.
Signal Processing Engineer (RF Processing & Analytics) has an opening for a Signal Processing Engineer (RF Processing & Analytics) in Paris, France. It is listed as a full-time position.
Reading the advert, the employer asks for 3 to 6 years of experience and English language skills.
Skills and tools named in the text include Python, C++, machine learning and MATLAB.
No salary is given in this listing, so check the official pay figures in the DGJ Insight section below where they exist.
The advert does not mention visa sponsorship. If you would move to France for this job, check the official work permit route first (DGJ Insight lists it where we have it).
Dev Global Jobs found this job on Arbeitnow on Nov 2, 2026.
- Employer
- Signal Processing Engineer (RF Processing & Analytics)
- Location
- Paris, France
- Job type
- Full-time
- Pay
- Not stated by the employer
- Experience asked
- 3 to 6 years
- Languages asked
- English
- Found
- Nov 2, 2026 on Arbeitnow
- Employer text
- 428 words, about 2 min to read
- Apply only on the official page (arbeitnow.fr). Dev Global Jobs is not the employer and never asks for a fee.
- Compare your own experience with the 3 to 6 years the advert asks for, and show it clearly near the top of your CV.
- Mirror the skills the advert names (Python, C++, machine learning and MATLAB) in your CV where you really have them; applicant tracking systems look for these words.
- Say your level in English plainly (for example B2 or C1).
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DGJ Insight
Our own data about this role and place, from official statistics and our live job index.
Source: OECD Average annual wages, 2025
UN living-cost index for Paris (ICSC post adjustment 50.5), as of 1 Oct 2026.
Source: ICSC post adjustment classifications (icsc.un.org)
- Talent Passport: Qualified employees, researchers, artists, investors; multi-year permit
- Employee (salarié) visa: Employer work authorisation from the labour office
- Temporary worker visa: Contracts under 12 months
About the role
Full text from the employer, as published on Arbeitnow, arranged into sections. Nothing added or removed.
01About Us
Harmattan AI is a next-generation defense prime building autonomous and scalable defense systems. Following the close of a $200M Series B, valuing the company at $1.4 billion, we are expanding our teams and capabilities to deliver mission-critical systems to allied forces.
Our work is guided by clear values: building technologies with real-world impact, pursuing excellence in everything we do, setting ambitious goals, and taking on the hardest technical challenges. We operate in a demanding environment where rigor, ownership, and execution are expected.
02About the Role
As Signal Processing Engineer within RF Processing & Analytics, you own the algorithms that turn raw electromagnetic intercepts into an actionable picture of the RF environment, detecting, characterizing, and identifying the emitters around our platforms in contested environments. You work across the signals captured by our Radar, Radio, and Electronic Warfare modules, building the classification and analytics layer that turns isolated detections into a real-time electronic order of battle for operators and downstream autonomy.
03Responsibilities
Signal Detection & Characterization: Build algorithms to detect, deinterleave, and extract parameters (PRI, pulse width, frequency, modulation) from intercepted RF emissions.
Emitter Classification & Identification: Develop classification pipelines, combining feature-based methods and machine learning, to identify emitter types and match them against threat libraries.
Electronic Order of Battle: Design the analytics that turn individual detections into a coherent, real-time picture of emitters, tracks, and threat posture.
AI-Assisted Analytics: Apply machine learning to modulation recognition, anomaly detection, and emitter fingerprinting where it improves classification confidence in dense, contested spectrum.
Cross-Module Data Fusion: Work with signals captured by Radar, Radio, and Electronic Warfare to build a unified processing pipeline rather than siloed, single-sensor analysis.
Real-Time Pipeline Engineering: Take algorithms from offline prototyping (MATLAB/Python) to real-time or near-real-time implementation, alongside software and embedded/FPGA engineers.
Field Validation: Validate detection and classification performance against simulated and real-world RF datasets, in lab and field-test conditions.
04Candidate 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 exposure to ELINT, ESM, or SIGINT applications.
Strong fundamentals in DSP: spectral analysis, filtering, multi-rate processing, statistical/adaptive signal processing.
Proficiency in Python and/or MATLAB for algorithm prototyping; working knowledge of C/C++ for production-oriented implementation.
Comfortable applying machine learning to signal classification problems.
Clear communicator, able to work across RF hardware, software, and data science disciplines.
Fluency in English required; French is a plus.
We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.
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