7 months ago
Melbourne, AustraliaStaff+
Responsibilities
- Lead the design and evolution of distributed real-time simulation systems supporting autonomy development, verification, and validation.
- Architect and implement C++ software for modelling, simulation, and integration workflows while maintaining legacy-standard compatibility.
- Develop, optimize, and deploy real-time mission execution software for multi-agent and high-fidelity system-of-systems simulations.
- Integrate defence simulation frameworks such as AFSIM and NGTS.
- Use Docker, Kubernetes, or equivalent technologies for repeatable and scalable simulation deployments.
- Lead engineering teams of five or more contributors across software, test, autonomy, perception, and program stakeholders.
- Integrate simulation with autonomy algorithms, hardware interfaces, and test pipelines for experimentation, regression testing, and mission readiness.
- Champion software engineering practices including CI/CD, test-driven development, design patterns, and system architecture improvement.
Requirements
- Tertiary qualification in Computer Science, Software Engineering, Mechatronics, or a related field.
- Extensive professional experience in software engineering and systems integration.
- Strong experience with modern C++ and familiarity with legacy C++ standards.
- Professional experience with Python.
- Significant experience building and delivering reliable software systems in fast-paced environments.
- Experience leading teams in the delivery of complex engineering projects.
- Experience with real-time distributed simulation systems or HWIL/SWIL environments.
- Experience with containerization technologies such as Docker.
- Experience working in Linux development environments.
- Ability to solve complex problems quickly and effectively and collaborate as a trusted teammate.
- Ability to obtain an Australian NV1 security clearance.
- Preferred qualifications include defence industry experience, uncrewed air systems experience, AFSIM or NGTS experience, and experience with data processing, analysis pipelines, or Python-based test automation workflows.
About Shield AI
Shield AI builds autonomous systems for military and national security customers, combining its Hivemind autonomy software with V-BAT and X-BAT unmanned aircraft and Aechelon simulation technologies. The privately held company sells hardware, software, and related services to U.S. and allied defense agencies. Founded in 2015 and headquartered in San Diego, it operates across the U.S., Europe, the Middle East, and Asia-Pacific, and its technology is used in operational deployments.