Engineer II Modelling and Simulation
Shield AI is a U.S. defense-technology company developing mission-autonomy software and autonomous aircraft for military and allied operations.
Funding history
Investors
About Shield AI
Founded in 2015, Shield AI builds Hivemind autonomy software and V-BAT and X-BAT aircraft for operations in contested, GPS- and communications-denied environments. Its current site also presents Aechelon synthetic-reality simulation and Vision Systems detection and tracking products.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will lead the architecture, implementation, integration, and operation of real-time and faster-than-real-time simulation environments. You will develop C++ and Python software, integrate simulation frameworks, deploy containerized systems, connect simulation to autonomy and test pipelines, and lead complex engineering delivery.
Requirements
- Tertiary qualification in Computer Science, Software Engineering, Mechatronics, or a related field
- Extensive professional experience in software engineering and systems integration
- Strong modern C++ experience and familiarity with legacy C++ standards
- Professional Python experience
- Experience leading complex engineering or software projects
- Experience with real-time distributed simulation systems or HWIL/SWIL environments
- Experience with Docker or similar containerisation technologies
- Proficiency with Linux development environments
- Ability to obtain an Australian NV1 security clearance
Responsibilities
- Lead the architecture, design, and evolution of distributed real-time simulation systems
- Architect and implement high-performance C++ software for modelling, simulation, integration, and interoperability
- Develop and optimize real-time distributed simulation software
- Integrate defence simulation frameworks such as AFSIM or NGTS
- Design and deliver containerized simulation deployments with Docker and Kubernetes
- Provide technical and project leadership to engineering contributors
- Connect simulation with autonomy algorithms, hardware interfaces, and automated test pipelines
- Drive improvements in CI/CD, test-driven development, software architecture, and simulation tooling
- Deliver validated and scalable simulation environments for customer programs