Autonomous Flight Software Engineer

• 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.
• Entrepreneurial Spirit: An innovative and proactive approach to problem-solving and project development.