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 robust 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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📌 Senior Embedded Software Engineer (Melbourne)
🏢 YO IT CONSULTING
📍 Melbourne