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Modelling and Simulation Lead

Shield AI - Melbourne

Posted Apr 7, 2026

Benefits

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About this role

Modelling and Simulation Lead Melbourne Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Working in our Hivemind Solutions team you will lead the Modelling and Simulation capability for our Australian based Mission Autonomy programs. You will be responsible for developing and integrating the simulation and test environments which our autonomy engineers use to develop, test and demonstrate Mission Autonomy solutions for uncrewed aircraft. In this role, you will guide multidisciplinary engineering teams in designing, implementing, and integrating high‑performance real-time and faster than real-time simulation frameworks across distributed, containerized, and hardware‑in‑the‑loop environments. Your work will directly support key customer programs, internal R&D, and mission‑critical autonomy development-ensuring our simulation ecosystem is robust, scalable, and operationally representative. What you'll do: • Simulation Architecture Leadership - Lead the design and evolution of distributed, real‑time simulation systems that support autonomy development, verification, and validation across virtual, constructive, and live environments. • High‑Performance Software Development - Architect and implement C++, software for modelling, simulation, and integration workflows, while maintaining compatibility with legacy standards for seamless system interoperability. • Real-Time & Distributed Simulation - Develop, optimize, and deploy software for real‑time mission execution environments, including multi‑agent scenarios and

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