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Shield AI

Builds autonomous aircraft for defense

Modelling and Simulation Lead

Software EngineeringUpdated on Nov 11
Full-timeMelbourne VIC, AustraliaNo salary listedIn-person

About the Job

Requirements

  • A tertiary qualification in Computer Science, Software Engineering, Mechatronics, or a related field is required.
  • Extensive professional experience in software engineering and systems integration is required.
  • Strong experience in modern C++ and familiarity with legacy standards are required.
  • Professional experience with Python is required.
  • Significant experience building and delivering reliable software systems in fast-paced environments is required.
  • Experience leading teams to deliver complex engineering projects is required.
  • Experience with real-time, distributed simulation systems or hardware-in-the-loop/software-in-the-loop environments is required.
  • Experience with containerization technologies such as Docker or equivalent is required.
  • Experience working in Linux development environments is required.
  • Ability to obtain an Australian NV1 security clearance is required; Australian citizenship is mandatory.
  • Ability to solve complex problems quickly and effectively is required.

Responsibilities

  • Lead the Modelling and Simulation capability for Australian-based Mission Autonomy programs.
  • Develop and integrate simulation and test environments used by autonomy engineers to develop, test, and demonstrate Mission Autonomy solutions for uncrewed aircraft.
  • 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.
  • Lead the design and evolution of distributed, real-time simulation systems that support autonomy development, verification, and validation across virtual, constructive, and live environments.
  • Architect and implement C++ software for modelling, simulation, and integration workflows while maintaining compatibility with legacy standards for system interoperability.
  • Develop, optimize, and deploy software for real-time mission execution environments, including multi-agent scenarios and high-fidelity system-of-systems simulations.
  • Apply practical experience with defence simulation frameworks such as AFSIM or NGTS to accelerate capability delivery and align with defence customer expectations.
  • Use Docker, Kubernetes, or similar technologies for repeatable, scalable, and modular simulation deployments across development, continuous integration, and operational environments.
  • Lead engineering teams of five or more contributors and coordinate across software, test, autonomy, perception, and program stakeholders to drive quality, delivery, and technical excellence.
  • Collaborate with cross-functional teams to integrate simulation with autonomy algorithms, hardware interfaces, and test pipelines, enabling experimentation, regression testing, and mission readiness.
  • Promote best practices in continuous integration and continuous delivery, test-driven development, design patterns, and system architecture; explore and adopt technologies to expand modelling and simulation capabilities.

Desired Qualifications

  • Defence industry experience is preferred.
  • Experience with uncrewed systems, particularly in the air domain, is preferred.
  • Experience with AFSIM, NGTS, or equivalent defence simulation tools is preferred.
  • Experience with data processing, analysis pipelines, or test automation workflows, especially those using Python, is preferred.

About the Company

Shield AI

Builds autonomous aircraft for defense

Shield AI builds autonomous aircraft and flight software for military and allied defense customers, with a focus on operations where conventional remote control breaks down. Its Hivemind AI pilot handles decisions during a mission, while the V-BAT aircraft gathers intelligence and locates targets. Aircraft makers use its software tools to develop and test their own autonomy, and its Aechelon business supplies visual and sensor simulation for pilot training. The company earns money from aircraft sales, autonomy software and contracted engineering and operational services. Shield AI was founded in 2015 and is headquartered in San Diego, California.

Company size
1,001-5,000
Company stage
Series H
Total funding
$4.8B
Headquarters
San Diego, CA
Founded
2015

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