Harmattan AI · Defence and security
Signal Processing Engineer (Radar)
- Paris (On‑site)
- Full-time
Still open on Harmattan AI's site · checked 5 hours ago
- Experience
- 2–5 years
- Posted
What you'll do
As written by Harmattan AI · Read the original
About the Role
As a confirmed Radar Signal Processing Engineer on Harmattan AI's Radar team in Paris, you will own the signal processing algorithms behind our next-generation airborne radar payload. You will take full ownership of your workstream, from algorithmic research through embedded implementation and flight validation, working with high autonomy and minimal oversight. You will work closely with the EW and RF analytics teams to translate product-level requirements into deployed, mission-ready capabilities.
Responsibilities
Design and implement near-real-time algorithms for radar image formation, including inverse SAR (ISAR) processing of moving targets.
Develop and refine detection and tracking algorithms (e.g., EKF/UKF-based approaches) for moving target indication on airborne radar data.
Build jamming estimation capabilities, combining out-of-band spectral sniffing with in-band spatial covariance analysis, and the adaptive logic that drives radar behavior in response.
Contribute radar-derived observables and algorithms that support navigation when GNSS is unavailable.
Prototype and port algorithms onto the selected embedded computing platform, balancing algorithmic performance against real-time and resource constraints.
Validate algorithms end-to-end through hardware-in-the-loop bench testing, anechoic chamber campaigns, and real flight conditions, iterating quickly on results.
Work closely with the EW and RF analytics modules to align signal processing development with system-level requirements.
Requirements
Candidate Requirements
2 to 5 years of confirmed, hands-on experience in radar signal processing, gained in the defense or automotive radar industry preferably.
Solid experience in Signal Processing on radar systems, either FMCW or pulsed, is required; exposure to moving target tracking, ECCM, radar-based navigation, or live/real-time processing is a strong plus.
Strong theoretical foundations and genuine hands-on comfort with the underlying mathematics, not reliance on off-the-shelf tools or LLM-generated solutions.
A quick thinker, comfortable taking full ownership of a technical scope end-to-end with minimal oversight.
Comfortable working in a fast, iterative cycle: writing code, running hardware-in-the-loop tests, and pushing validated changes independently.
We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.
Skills
Working languages
English
Company
Last checked . The details above were extracted automatically; the employer's original posting is the authority.
