Design and develop embedded software and computer vision applications for AI and automation environments Implement and optimize image processing and sensor integration across embedded, Windows, and Linux platforms using CPU and GPU architectures Develop and refine algorithms for visual recognition, signal processing, and performance optimization Collaborate with cross-functional teams to integrate vision-based AI systems into embedded robotic platforms Contribute to research and development initiatives in imaging, embedded intelligence, and industrial automation Skills & Experience: 35 years experience in embedded systems and computer vision software development Strong knowledge of image processing and vision algorithms (OpenCV or similar) with exposure to multispectral or sensor-based imaging Experience developing machine learning and AI algorithms using frameworks such as TensorFlow, PyTorch, or embedded AI toolkits Proficiency in C/C++ or C#, with experience in hardwaresoftware integration and real-time systems Solid foundation in signal processing, mathematics, and algorithm design Excellent analytical, problem-solving, and communication skills Qualification: Masters in computer science/ electronic engineering or related relevant field Valid driver’s license Valid passport (required for international travel) Only South African Residents or individuals with a relevant South African work permit will be considered. Contact MATTHEW LOUW on

Develop intelligent vision and AI applications using modern programming tools and object-oriented languages Design and deploy embedded image processing systems across Windows and Linux environments using CPU and GPU frameworks Build and refine algorithms for visual data recognition, analysis, and performance optimization Work closely with cross-functional teams to integrate vision and AI solutions into automated and robotic systems Lead ongoing research and innovation initiatives to stay ahead of emerging technologies in AI, imaging, and automation Skills & Experience: 3-5 years experience in computer vision and machine learning systems In-depth knowledge of computer vision and image processing (OpenCV) with experience in multispectral imaging Hands-on experience with deep learning and neural networks using frameworks such as TensorFlow or PyTorch Proficient in object-oriented programming (C#, Java, or C++) with solid software development experience Strong grounding in algorithm design, statistics, and mathematical modelling Excellent analytical, problem-solving, and communication skills in English Qualification: Masters in Computer Science or related relevant field Valid driver’s license Valid passport (required for international travel) Only South African Residents or individuals with a relevant South African work permit will be considered. Contact MATTHEW LOUW on

e are seeking a Software Engineer with a strong background in UAV systems to join our growing team. You will be responsible for designing, developing, and integrating software components for autonomous flight, mission planning, and onboard systems. This role offers the opportunity to work on cutting-edge technology in a collaborative and fast-paced environment. Key Responsibilities Design and implement software for flight control systems, navigation, and communication interfaces. Integrate software with sensors, payloads, and embedded systems. Develop simulation and testing frameworks to validate UAV behaviors. Collaborate with hardware, aerospace, and systems engineers to develop complete UAV solutions. Participate in flight testing, debugging, and iterative improvement of UAV software. Contribute to documentation, code reviews, and system architecture decisions. Requirements Bachelor’s or Masters degree in Computer Science, Aerospace Engineering, Robotics, or a related field. 3 years of experience in software development for UAVs or embedded systems. Strong proficiency in C/C++ and/or Python. Experience with real-time systems and RTOS (e.g., PX4, ROS, ArduPilot). Knowledge of flight dynamics, navigation algorithms, and control systems. Familiarity with UAV communication protocols (e.g., MAVLink). Version control tools (Git), CI/CD pipelines, and agile development practices.