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Harmattan AI is a next-generation defense prime building autonomous and scalable defense systems. Following a $200M Series B valuation at $1.4 billion, the company is expanding teams to deliver mission-critical systems to allied forces.
As Lead RF Engineer - Electronic Warfare, you will own the end-to-end delivery of electronic warfare and signal intelligence systems from concept through field deployment. You will translate mission needs into system-level designs, coordinate multidisciplinary engineering teams, and ensure overall system performance, robustness, and reliability. Your responsibilities include:
- Building, maintaining, and managing a cross-disciplinary Electronic Warfare Engineering Team
- Driving architecture and implementation of Electronic Warfare Systems with state-of-the-art knowledge in EW/SIGINT
- Leading cross-functional design coordination across mechanical, electrical, software, GNC, and ML teams
- Conducting feasibility studies, trade-off analyses, and system-level simulations to guide technical choices
- Overseeing system integration, prototyping, and validation to ensure performance targets are achieved
- Driving design and architecture reviews to maintain consistency between requirements, design, and testing
- Implementing processes to enhance requirements traceability, system documentation, and validation workflows
You will work hand-in-hand with project managers and technical leads in a demanding environment where rigor, ownership, and execution are expected.
REQUIREMENTS:
- 10+ years of experience in RF system engineering (Radio/Radar/GNSS and other sensors) within robotics, aerospace, or defense sectors
- Experience in technology leadership in EW/SIGINT (strong plus)
- Experience in team leadership (bonus, 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
