Senior Embedded Software Engineer, City of Port Phillip

Senior Embedded Software Engineer (Autonomous Systems) Location:

USA - Melbourne Experience:

8+ Years Work Authorization:

Must be a U.S. Citizen

Position 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 Responsibilities

Design, develop, and maintain real‑time embedded software in C++

Architect and implement modular, scalable software systems for autonomous platforms

Develop navigation, guidance, and control (NGC) components

Integrate AI/ML‑driven capabilities into embedded or edge environments

Work across the full stack including hardware interfaces (drivers, BSP), middleware (RTOS, messaging frameworks), and application‑level autonomy logic

Drive software architecture decisions including interfaces, data flow, and timing/resource constraints

Collaborate with systems, hardware, and test teams to deliver end‑to‑end functionality

Support debugging and performance tuning in real‑time environments

Contribute to process improvements including Agile execution and CI/CD for embedded systems

Required Qualifications

8+ years of experience in embedded software development

Strong proficiency in modern C++

Experience with real‑time operating systems such as VxWorks, RTEMS, or embedded Linux

Strong understanding of multithreading, synchronization, and concurrency

Experience with memory management in constrained systems

Understanding of deterministic timing and real‑time constraints

Experience in software architecture and system design

Familiarity with embedded debugging tools such as JTAG, trace, and low‑level diagnostics

Experience integrating software with custom hardware or SoCs

Preferred Qualifications

Experience 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 systems

Experience with guidance, navigation, and control (GNC) algorithms

Knowledge of communication protocols including TCP/UDP, CAN, DDS, and serial

Experience in safety‑critical or high‑reliability systems (aerospace, defense, maritime)

Nice‑to‑Have Experience

Unmanned systems (UAV, UGV, USV)

Space or satellite systems

Defense or C5ISR environments

Experience deploying AI/ML models to embedded or GPU‑accelerated systems

Knowledge of Kalman filters, probabilistic estimation, route planning, and mission planning

Experience with simulation tools such as CARLA, Gazebo, or AirSim

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