Job Overview
Location
Melbourne
Job Type
Full-time
Category
Product Management
Date Posted
June 3, 2026
Full Job Description
đź“‹ Description
- • Lead the end-to-end development, integration, and operationalisation of high-fidelity simulation environments for Hivemind Mission Autonomy programs in Australia.
- • Architect and implement real-time and faster-than-real-time simulation systems used by autonomy, perception, and systems engineering teams to design, test, and validate uncrewed aircraft mission autonomy.
- • Design and maintain scalable, operationally representative simulation ecosystems that directly support mission-critical software development and validation.
- • Collaborate cross-functionally with autonomy, perception, and systems engineering teams to align simulation capabilities with program requirements and technical constraints.
- • Develop and integrate simulation frameworks that enable rapid iteration, testing, and demonstration of advanced uncrewed aircraft mission autonomy capabilities.
- • Ensure simulation environments accurately reflect real-world operational conditions to support credible testing and customer demonstrations.
- • Provide technical leadership to engineering teams in the design and implementation of simulation infrastructure, including sensor modeling, environmental dynamics, and vehicle dynamics.
- • Drive the adoption of best practices in simulation software engineering, including version control, CI/CD pipelines, and reproducible testing workflows.
- • Translate mission requirements from customer programs and internal R&D into technical specifications for simulation system development.
- • Maintain and enhance existing simulation platforms while innovating new capabilities to support evolving autonomy algorithms and mission profiles.
- • Document simulation architectures, interfaces, and usage protocols to ensure knowledge transfer and team scalability.
- • Support field deployments and customer demonstrations by ensuring simulation outputs are reliable, interpretable, and aligned with operational needs.
- • Work closely with hardware and software teams to ensure simulation models are synchronized with real-world vehicle behavior and sensor data.
- • Identify and mitigate technical risks in simulation development, ensuring robustness under edge-case and high-stress operational scenarios.
- • Contribute to the strategic roadmap for simulation capabilities within Shield AI’s Australian operations, aligning with global product goals.
🎯 Requirements
- • Proven experience leading the development of real-time and faster-than-real-time simulation systems for autonomous systems or robotics
- • Deep expertise in modeling and simulating uncrewed aerial vehicle (UAV) dynamics, sensor systems, and environmental interactions
- • Strong background in software engineering for high-performance, scalable simulation frameworks
- • Experience working in defense, aerospace, or autonomous systems domains with mission-critical software requirements
- • Demonstrated ability to architect and deliver complex simulation ecosystems used for testing and validating autonomy algorithms
- • Proficiency in C++, Python, and simulation tools such as Gazebo, AirSim, or similar platforms
🏖️ Benefits
- • Opportunity to work on cutting-edge autonomous systems protecting service members and civilians worldwide
- • Access to state-of-the-art simulation and autonomy technologies in a venture-backed deep-tech environment
- • Collaborative, mission-driven culture with global teams across the U.S., Europe, the Middle East, and Asia-Pacific
- • Professional growth through direct involvement in high-impact defense and security technology programs
Skills & Technologies
About Shield AI, Inc.
Shield AI develops autonomous systems and artificial intelligence for defense and commercial aviation. Its Hivemind AI pilot enables unmanned aircraft and drones to operate without GPS, communications, or remote pilots. The company’s products include the V-BAT vertical takeoff and landing drone and software for fighter aircraft autonomy. Founded in 2015, Shield AI serves U.S. and allied military forces, focusing on contested environments and battlefield applications. The company integrates machine learning, sensor fusion, and edge computing to provide resilient, intelligent platforms for intelligence, surveillance, reconnaissance, and strike missions.
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