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About Us 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…
Develops a global 3D object-tracking pipeline for autonomous defense drones: researching CV and sensor-fusion algorithms that combine classical/geometry methods with in-house AI detectors, fusing camera, IMU and radar data, and optimizing C++/Python tracking code for real-time edge deployment on low-compute hardware. Based in Lausanne, Paris, or Zurich.
Own Jira end-to-end for Harmattan AI's Product and R&D organizations at a defense-tech company in Paris: design a master Jira architecture, standardize and migrate teams onto it, deliver leadership dashboards, and automate triage and reporting using Jira automation, scripting and AI.
Harmattan AI, a defense-tech company building autonomous defense systems, seeks an ERP Architect in Paris to own its Odoo ERP end to end — architecture, roadmap, manufacturing/MES rollout, integrations with PLM/CRM/finance, and managing external integrators — while staying hands-on in configuration and Python code.
Builds the mission execution infrastructure that turns planned missions into reliable, real-time behavior across fleets of autonomous defense robots. Day to day: developing scalable backend services and APIs for orchestration and agent communication in production-grade C++ and Python, with strong CI/CD, testing, and telemetry-driven debugging for live operations.
Design and implement real-time digital signal processing RTL in VHDL/SystemVerilog for Electronic Warfare and SIGINT systems, collaborating closely with RF hardware and embedded software teams.
Develop and maintain embedded Linux BSPs, secure boot chains, and device drivers for defense-grade compute modules, taking boards from first power-up to flight-ready systems.
Builds and maintains pipelines to ingest, process, and version large-scale unstructured data (video/sensor logs) for AI/ML model training, ensuring clean, reproducible datasets for defense applications.
Build and maintain automated ML training, evaluation, and CI pipelines for an AI-driven defense autonomy stack, enabling reproducible model development and deployment.
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