Top Engineering Jobs in Melbourne, VIC

Design and implement autonomous behaviors for uncrewed aircraft, build sensor fusion and perception solutions, develop and test autonomy in high-fidelity and hardware-in-the-loop simulations, integrate autonomy with third-party systems, contribute to architecture and code quality, and lead and mentor junior engineers.

Design, develop, and integrate real-time computer vision algorithms into high-performance C++ pipelines for edge-deployed autonomous systems. Build geometry-based perception capabilities (camera calibration, multi-view geometry, geolocation, 3D reconstruction), translate research into deployable software, optimize for real-time reliability, and collaborate with multidisciplinary teams to deliver mission-critical solutions.

Design, implement, and integrate real-time computer vision algorithms into high-performance C++ pipelines for edge-deployed autonomous systems. Focus on custom perception capabilities, model adaptation and evaluation, inference optimization, dataset curation, and cross-functional integration with AI, robotics, and optical teams to deliver robust mission-capable solutions.

Lead design, implementation, and integration of real-time and faster-than-real-time distributed simulation frameworks for mission autonomy of uncrewed aircraft. Develop high-performance C++ simulation software, integrate defence simulation tools (AFSIM/NGTS), deploy containerized environments (Docker/Kubernetes), and lead multidisciplinary teams to support testing, CI/CD, HWIL/SWIL, and operational mission readiness.

Lead architecture, implementation, and operationalisation of high-performance, real-time and faster-than-real-time distributed simulation systems for mission autonomy. Deliver containerised simulation deployments, integrate defence simulation frameworks, support multi‑agent and system‑of‑systems scenarios, provide technical leadership to cross-functional teams, and enable CI/CD, test automation, and validated simulation environments for customer programs and R&D.

Develop and maintain production C++ software for Linux-based edge/embedded platforms (NVIDIA Jetson, ARM). Integrate sensors and peripherals, build calibration/diagnostic tools, optimise performance (latency, throughput, power), debug across software/hardware/OS/networking, and collaborate with cross-functional teams to deliver fieldable autonomy and mission systems.

Own and improve C++ build and release workflows for autonomy and vision products: maintain reproducible builds, containerised CI/CD pipelines, edge container images, artefact repositories, and deployment/promotion practices for air-gapped and constrained environments. Collaborate with engineers and sysadmins to ensure reliable edge delivery and troubleshoot pipeline and deployment issues.

Design and implement novel real-time computer vision algorithms in C++, develop and maintain C++ CV pipelines for autonomous systems, integrate deep learning models with perception systems, collaborate with AI/robotics/optical engineers, and keep up with academic research to deliver reliable edge solutions.

Design and integrate end-to-end systems for Hivemind Vision and autonomy solutions. Capture and verify requirements, develop MBSE/UML/SysML models, decompose system designs, collaborate with cross-functional teams, improve tooling and automation, and report status and risks to program leadership to support customer programs and R&D.