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.
Job details are sourced from the employer's original posting.
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Harmattan AI develops software for drones and robotic systems, focusing on embedded software, simulation, and game engine development.