SAR Remote Sensing Engineer
Harmattan AI
SAR Remote Sensing Engineer
Harmattan AI
Autonomous defense systems and C2 platforms
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.
As SAR Remote Sensing Engineer, you are the subject matter expert on applying advanced signal processing and machine learning to SAR data within our RF analytics team. You own the analytics layer end to end: algorithm design, real-time implementation and field validation on real captures from our own platforms. You will also shape the move toward multi-modal solutions that combine SAR with optical and RF sensor feeds. Cycles are measured in months, and the scope grows with the company.
Lead initiatives using SAR polarimetry and coherence for automated change detection.
Design and prototype state-of-the-art machine learning models for SAR image segmentation.
Develop algorithms for target detection and object classification on SAR data.
Fuse SAR with optical, RF and other data sources to support GNSS-denied operations.
Port algorithms from Python prototypes to real-time pipelines with software and embedded/FPGA teams.
Build the capture, labelling and replay tooling that makes performance claims reproducible.
Validate performance on simulated and real-world datasets, in the lab and on field-test campaigns.
Work with radar, radio, electronic warfare and computer vision teams to define what the analytics layer needs from each sensor.
Master’s or PhD in electrical engineering, telecommunications engineering, signal processing, applied mathematics or a related field.
3+ years of experience in radar signal processing or SAR remote sensing.
Deep understanding of SAR phenomenology and its information content, including coherence, amplitude, phase and polarimetry.
Theoretical and practical expertise in machine learning, both deep learning and classical techniques.
Experience taking at least one algorithm from prototype to real hardware running on real signals.
Strong Python skills and sound engineering practices (Git, code reviews, testing, documentation).
Exposure to GEOINT, ELINT or SIGINT work is a plus, and you are comfortable with defense security vetting.
Willingness to travel periodically to lab and field tests.
We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.
Autonomous defense systems and C2 platforms
Harmattan AI builds vertically integrated autonomous defense systems for NATO and allied forces. Its products include layered air defence, coordinated ISR and strike UAVs, electronic-warfare tools, and command-and-control platforms, all powered by a software-defined autonomy stack. The systems are designed to operate together, with autonomous decision-making, sensor fusion, and mission execution through its C2 framework. The company differentiates itself through large-scale industrial manufacturing, secured Programs of Record with European and UK defense ministries, and a strategic partnership with Dassault Aviation to embed Harmattan’s controlled autonomy into combat-air systems such as Rafale F5 and UCAS. The goal is to provide trusted, scalable autonomous solutions for defense missions, expanding globally and embedding autonomy into partner platforms to strengthen allied capabilities.
Explore more opportunities at Harmattan AI