Senior Embedded Software Engineer (Autonomous Systems) Location:USA - Melbourne Experience:8+ Years Work Authorization:Must be a U.S. CitizenPosition Overview We are seeking a Senior Embedded Software Engineer to design and deliver real‐time software for autonomous systems operating in constrained, mission‐critical environments. This role combines hands‐on modern C++ development, deep expertise in embedded and real‐time systems, ownership of software architecture, and exposure to autonomy, navigation, and AI‐enabled systems. The ideal candidate is both a strong individual contributor and a system‐level thinker capable of shaping architecture and guiding development.Key ResponsibilitiesDesign, develop, and maintain real‐time embedded software in C++Architect and implement modular, scalable software systems for autonomous platformsDevelop navigation, guidance, and control (NGC) componentsIntegrate AI/ML‐driven capabilities into embedded or edge environmentsWork across the full stack including hardware interfaces (drivers, BSP), middleware (RTOS, messaging frameworks), and application‐level autonomy logicDrive software architecture decisions including interfaces, data flow, and timing/resource constraintsCollaborate with systems, hardware, and test teams to deliver end‐to‐end functionalitySupport debugging and performance tuning in real‐time environmentsContribute to process improvements including Agile execution and CI/CD for embedded systemsRequired Qualifications8+ years of experience in embedded software developmentStrong proficiency in modern C++Experience with real‐time operating systems such as VxWorks, RTEMS, or embedded LinuxStrong understanding of multithreading, synchronization, and concurrencyExperience with memory management in constrained systemsUnderstanding of deterministic timing and real‐time constraintsExperience in software architecture and system designFamiliarity with embedded debugging tools such as JTAG, trace, and low‐level diagnosticsExperience integrating software with custom hardware or SoCsPreferred QualificationsExperience with autonomous systems (robotics, aerospace, marine, or ground systems)Familiarity with frameworks such as ROS (Robot Operating System) and NASA Core Flight System (cFS)Exposure to AI/ML concepts including edge inference, sensor fusion, and perception systemsExperience with guidance, navigation, and control (GNC) algorithmsKnowledge of communication protocols including TCP/UDP, CAN, DDS, and serialExperience in safety‐critical or high‐reliability systems (aerospace, defense, maritime)Nice‐to‐Have ExperienceUnmanned systems (UAV, UGV, USV)Space or satellite systemsDefense or C5ISR environmentsExperience deploying AI/ML models to embedded or GPU‐accelerated systemsKnowledge of Kalman filters, probabilistic estimation, route planning, and mission planningExperience with simulation tools such as CARLA, Gazebo, or AirSim#J-18808-Ljbffr