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.
About 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.
Responsibilities
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.
Candidate 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.
Skills Required
- Master's or PhD in Electrical Engineering, Signal Processing, Applied Mathematics, or a related field
- 3-6 years of experience in RF or radar signal processing
- Experience with ELINT, ESM, or SIGINT applications
- Strong fundamentals in digital signal processing, including spectral analysis, filtering, multi-rate processing, and statistical or adaptive signal processing
- Proficiency in Python and/or MATLAB for algorithm prototyping
- Working knowledge of C or C++ for production-oriented implementation
- Experience applying machine learning to signal classification problems
- Ability to communicate and collaborate across RF hardware, software, and data science disciplines
- Fluency in English
- French language proficiency
Harmattan AI Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Harmattan AI and has not been reviewed or approved by Harmattan AI.
-
Fair & Transparent Compensation — Pay ranges are publicly shown for multiple U.S. roles (e.g., $140k–$200k base) and appear broadly in line with late‑stage startup/defense‑tech expectations based on the postings cited.
-
Equity Value & Accessibility — Equity is repeatedly referenced in several job postings as part of total compensation, which can increase upside potential at a recently funded, high‑valuation company.
-
Strong & Reliable Incentives — Sign‑on bonuses are explicitly mentioned in a hiring post for candidates who can start quickly, indicating the use of cash incentives in at least some hiring situations.
Harmattan AI Insights
What We Do
Harmattan AI is rising as a next-generation defense prime, building the future of autonomous warfare. We leverage AI-driven autonomy, real-time intelligence, and conflict-ready production to deliver attritable systems and autonomous mission management software. Designed for the real-world needs of warfighters, our solutions enable faster deployment, sharper decision-making, and battlefield dominance.
