JDI Integrations
Position:
AI/SLAM/Autonomy Engineer Project:
ECITON (Autonomous Swarm Platform) Location:
Hybrid or Remote (Ukraine / US / EU) Employment type:
Full-time Company:
JDI Integrations About the Role: JDI is seeking a senior AI/SLAM/Autonomy Engineer to lead the development of the autonomy layer for ECITON, a distributed swarm-based drone platform designed for edge operations. You will be responsible for integrating visual SLAM, path planning, AI-based decision-making, and onboard ML inference into field-ready systems. This role is critical to enabling GPS-denied navigation, target detection, last-mile autonomy, and swarm coordination through the integration of AI models and ArduPilot-based flight controllers. Responsibilities: Design and integrate real-time SLAM pipelines (visual-inertial preferred) for autonomous navigation. Object tracking algorithms using OpenCV. Train and deploy lightweight ML models for onboard inference in real-world conditions. Integrate AI/ML modules for target detection and behavioral decision-making. Support GPS-agnostic navigation via sensor fusion and terrain-aware motion planning. Collaborate with embedded, full-stack, and hardware teams to align the autonomy stack with system-level constraints. Optimize performance on ARM-based edge compute platforms (Raspberry Pi, Jetson Nano, etc.). Requirements: Minimum 7 years of experience in autonomy, robotics, or computer vision systems. Proficient in OpenCV, visual SLAM, and real-time localization. Strong skills in C++ and Python; experience with ROS/ROS2. Demonstrated experience with ML model training and deployment (TensorFlow, PyTorch, etc.). Ability to run perception and AI systems on embedded Linux hardware. Understanding of flight dynamics and real-time motion planning. Ability to debug and tune systems in field environments. Preferred Qualifications: Experience with ArduPilot, PX4, or similar UAV control frameworks. Familiarity with object detection models (e.g., YOLO, MobileNet) and model quantization. Experience with multi-agent autonomy, swarm logic, or distributed path planning. Background in defense, tactical robotics, or mission-critical systems. English level not lower than B1 (Intermediate). Agile development experience (Jira, Git). JDI operates globally, with offices in: USA and Ukraine. Established in 2019, JDI is a Service-Disabled Veteran-Owned Small Business (SDVOSB) delivering critical systems and unmanned technologies to government, humanitarian, and commercial clients.
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AI/SLAM/Autonomy Engineer Project:
ECITON (Autonomous Swarm Platform) Location:
Hybrid or Remote (Ukraine / US / EU) Employment type:
Full-time Company:
JDI Integrations About the Role: JDI is seeking a senior AI/SLAM/Autonomy Engineer to lead the development of the autonomy layer for ECITON, a distributed swarm-based drone platform designed for edge operations. You will be responsible for integrating visual SLAM, path planning, AI-based decision-making, and onboard ML inference into field-ready systems. This role is critical to enabling GPS-denied navigation, target detection, last-mile autonomy, and swarm coordination through the integration of AI models and ArduPilot-based flight controllers. Responsibilities: Design and integrate real-time SLAM pipelines (visual-inertial preferred) for autonomous navigation. Object tracking algorithms using OpenCV. Train and deploy lightweight ML models for onboard inference in real-world conditions. Integrate AI/ML modules for target detection and behavioral decision-making. Support GPS-agnostic navigation via sensor fusion and terrain-aware motion planning. Collaborate with embedded, full-stack, and hardware teams to align the autonomy stack with system-level constraints. Optimize performance on ARM-based edge compute platforms (Raspberry Pi, Jetson Nano, etc.). Requirements: Minimum 7 years of experience in autonomy, robotics, or computer vision systems. Proficient in OpenCV, visual SLAM, and real-time localization. Strong skills in C++ and Python; experience with ROS/ROS2. Demonstrated experience with ML model training and deployment (TensorFlow, PyTorch, etc.). Ability to run perception and AI systems on embedded Linux hardware. Understanding of flight dynamics and real-time motion planning. Ability to debug and tune systems in field environments. Preferred Qualifications: Experience with ArduPilot, PX4, or similar UAV control frameworks. Familiarity with object detection models (e.g., YOLO, MobileNet) and model quantization. Experience with multi-agent autonomy, swarm logic, or distributed path planning. Background in defense, tactical robotics, or mission-critical systems. English level not lower than B1 (Intermediate). Agile development experience (Jira, Git). JDI operates globally, with offices in: USA and Ukraine. Established in 2019, JDI is a Service-Disabled Veteran-Owned Small Business (SDVOSB) delivering critical systems and unmanned technologies to government, humanitarian, and commercial clients.
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