Autonomy Engineer

Key Responsibilities

• Design and develop decentralised navigation and decision-making algorithms for autonomous robotic and orbital systems
• Develop robust autonomy software capable of operating in challenging and unstructured environments
• Collaborate with multidisciplinary engineering teams to integrate autonomy systems with hardware platforms
• Utilise simulation tools and techniques to enhance system performance, reliability, and operational efficiency
• Conduct simulations, testing, and validation activities to refine algorithms and software performance
• Ensure software solutions meet industry standards for safety, reliability, and mission-critical performance
• Produce and maintain technical documentation, including interface specifications and verification plans
• Participate in technical reviews, trade studies, and risk assessments throughout the development lifecycle
• Research and integrate emerging technologies and advancements within autonomy, robotics, and intelligent systems

Key Requirements

• Bachelor’s degree or higher in Computer Science, Robotics, Engineering, or a related technical discipline
• Commercial experience developing autonomy software for autonomous systems
• Expertise in at least one of the following areas:
• Swarm coordination and task allocation
• State estimation and cooperative localisation
• Object identification, modelling, and tracking
• Motion planning and control for robotic or autonomous platforms
• Strong programming capability in C++ and/or Python
• Experience working with ROS (Robot Operating System)
• Comfortable operating within agile, research-driven, and interdisciplinary engineering environments
• Excellent communication and collaboration skills across technical teams
• Proven innovation through projects, publications, patents, or technical achievements

Desirable Experience

• Advanced degree (MSc or PhD) in Robotics, Autonomy, Artificial Intelligence, or related field
• Experience with multi-agent autonomous systems in space or extreme environments
• Familiarity with real-time or space-grade operating systems and software frameworks
• Experience with containers and virtualisation technologies such as Docker or VirtualBox
• Knowledge of sensor integration and calibration
• Experience supporting end-to-end deployment of autonomous or networked software systems