- Develop advanced algorithms to enhance autonomous navigation in Unmanned systems in complex environments (e.g., static/dynamic obstacles, IMU or telecom interference, degraded GNSS).
- Develop and implement sensor fusion and SLAM algorithms for precise and safe navigation.
- Use AI/ML frameworks (TensorFlow, PyTorch, Keras, OpenCV, etc.) to build deep learning algorithms for segmentation, detection, and classification integrated into both low and high-level logic.
- Manage large datasets for training and testing models, including data labelling and processing for performance improvement.
- Conduct testing and debugging of field issues, improving system robustness and resilience.
- Create and maintain detailed technical documentation for development and system testing.
- Write code and documentation in accordance with applicable regulations and standards.
- Clearly explain technical details to clients professionally, promoting product capabilities.

Requirements
- Education: Degree in Computer Science, Robotics Engineering, Mechatronics, Electronics, or equivalent.
- Experience: Experience developing software for autonomous and robotic systems, preferably Unmanned systems.
- Embedded Systems Knowledge: Strong understanding of embedded systems, real-time operating systems (RTOS), and hardware-software integration.
- Problem-Solving Skills: Strong analytical and problem-solving skills, with the ability to work independently and as part of a collaborative team.
- Technical Skills:
- Proficiency in Python, C++, and MATLAB/Simulink for advanced algorithm development.




- Experience implementing SLAM and sensor fusion algorithms and using visual odometry and state estimation techniques.
- Expertise with AI/ML frameworks like TensorFlow, PyTorch, Keras, OpenCV and experience managing complex datasets and labelling processes.
- Knowledge of rapid prototyping platforms such as Arduino, Raspberry Pi, Nvidia Jetson, and hardware sensors like IMU, GNSS, Lidar.

Additional Skills (Preferred)
- Experience with computer vision and geospatial 1/2/3D systems.
- Familiarity with containerization tools like Docker and Kubernetes.
- Experience working in cloud environments such as AWS and Azure.
- Knowledge of control boards (Pixhawk, Cube) and open autopilot software (Ardupilot, PX4), and communication protocols like MAVLINK for Unmanned systems.
- Experience with guidance, navigation, control, and indoor/outdoor positioning systems.
- Familiarity with Software-In-The-Loop (SITL) and Hardware-In-The-Loop (HITL) simulation environments.
- Communication and Documentation: Excellent communication skills, both written and verbal, with the ability to create clear technical documentation.
- Startup Mindset: Enthusiasm for working in a fast-paced, innovative startup environment.
- Love for Research: A passion for exploring new technologies and continuously improving products.
- Customer Success Attitude: A strong focus on delivering high-quality solutions that meet customer needs. xysqume
- Entrepreneurial Spirit: An innovative and proactive approach to problem-solving and project development.

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📌 Autonomous Flight Software Engineer (Roma)
🏢 AURYN Aero
📍 Roma