About the Role We are seeking a Lead Engineer for the development of secure Mission Computer platforms for advanced autonomous UAV and UxV systems. This is a hands-on technical leadership role focused on autonomy software, robotics, AI-enabled systems, mission computing, and platform integration. You will drive architecture decisions, software delivery, and technical direction across the autonomy stack while working closely with multidisciplinary engineering teams. Role Summary: Lead the architecture and development of the onboard autonomy platform that powers AI, perception, navigation, and mission execution. Responsibilities Own the architecture, design, and development of Mission Computer software platforms. Lead development of ROS2-based autonomy, navigation, perception, and mission-management capabilities. Drive integration between Mission Computers, Flight Controllers, sensors, and Ground Control Systems. Oversee AI/ML workloads, sensor fusion, real-time inference, and secure communications. Establish software standards, development processes, testing strategies, and release practices. Collaborate with hardware, systems, security, manufacturing, and QA teams. Provide technical leadership, mentoring, and architectural guidance across the software organisation. Requirements Bachelors' degree in Computer Science, Electrical, or Aerospace Engineering (Master's/PhD preferred).10+ years of experience in robotics, autonomous systems, or safety-critical UxV platform development, preferably in defense or aerospace environments. Must-have expertise with ROS2 and autonomy software architecture on NVIDIA Jetson and Qualcomm-based mission computer platforms. Hands-on experience with Qualcomm SoC platform bring-up, including BSP integration, Linux/Yocto environments, boot chain validation, peripheral enablement, driver integration, and platform debugging. Strong understanding of sensor fusion, perception, navigation, and SWaP-constrained AI/ML deployment. Experience designing scalable software architectures and leading technical decisions. Familiarity with secure computing, embedded Linux, and distributed communication frameworks. Preferred Requirements:Contributions to the ROS2 or NVIDIA Jetson open-source community. Knowledge of ML, SLAM, or multi-agent coordination. Familiarity with standards (ISO 27001, DO-178C, DO-326A, IEC 61508). Tech Stack: ROS2, NVIDIA Jetson, Qualcomm, DDS, MAVLink, Embedded Linux, Sensor Fusion, AI/ML, Computer Vision, Docker, Kubernetes, Yocto, Secure Communications