Top Engineering Jobs in Melbourne, VIC

Designs and integrates systems across Hivemind Vision and Mission Autonomy stacks. Captures requirements, develops system architectures, creates SysML/UML/UPDM models, supports MBSE workflows, and connects system models with codebases. Collaborates with program leadership, design, development, integration, testing, product, and business development teams. Maintains systems engineering processes and reports project status, risks, and accomplishments to senior leadership.

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.

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.

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.

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.