Lead RF Engineer - Electronic Warfare

Harmattan AI

Paris, France

About the Role

As an Electronic Warfare Team Lead, you will own the delivery of our electronic warfare and signal intelligence systems - from concept to field deployment. You will work hand-in-hand with project managers and technical leads to translate mission needs into system-level designs, coordinate multidisciplinary engineering teams, and ensure overall system performance, robustness, and reliability. The capability to detect, investigate, and exploit system vulnerabilities.

Responsibilities

Electronic Warfare Team: Build, maintain and manage a cross disciplinary Electronic Warfare Engineering Team;
Electronic Warfare Systems and Technology watch: Drive architecture and implementation of Electronic Warfare Systems. Ensure state of the art knowledge in EW/SIGINT;
Technical Coordination: Lead cross-functional design across mechanical, electrical, software, GNC, and ML teams;
Trade-Off & Design Analysis: Conduct feasibility studies, trade-off analyses, and system-level simulations to guide technical choices;
Integration & Validation: Oversee system integration, prototyping, and validation, ensuring performance targets are achieved;
System Reviews: Drive design and architecture reviews, maintaining consistency between requirements, design, and testing;
Continuous Improvement: Implement processes to enhance requirements traceability, system documentation, and validation workflows.

Candidate Requirements

10+ years of experience in RF system engineering of Radio/Radar/GNSS and other Sensors within robotics, aerospace, or defense sectors;
Experience in Technology leadership in EW/SIGINT is a strong plus;
Experience in Team leadership is a bonus, but not required;
MSc in Engineering; PhD is a plus;
Proven experience leading full system lifecycles (concept - prototype - validation);
Strong background in RF, GNSS and Radar system architecture, requirements engineering, and system level trade-off analysis;
RF Signal Intelligence gathering and analysis for classification and AI training;
Broad engineering culture with understanding of mechanical, electrical, and embedded systems;
Experience coordinating multi-disciplinary teams and managing technical interfaces;
Rigorous, structured, and mission-driven mindset with strong analytical skills;
Excellent communication and documentation abilities.