Job Description

Senior Embedded Software Engineer (Autonomous Systems)
n Location: USA - Melbourne
n Experience: 8+ Years
n Work Authorization: Must be a U.S. Citizen

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Position Overview

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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.

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Key Responsibilities

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- Design, develop, and maintain real‐time embedded software in C++
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- Architect and implement modular, scalable software systems for autonomous platforms
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- Develop navigation, guidance, and control (NGC) components
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- Integrate AI/ML‐driven capabilities into embedded or edge environments
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- Work across the full stack including hardware interfaces (drivers, BSP), middleware (RTOS, messaging frameworks), and application‐level autonomy logic
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- Drive software architecture decisions including interfaces, data flow, and timing/resource constraints
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- Collaborate with systems, hardware, and test teams to deliver end‐to‐end functionality
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- Support debugging and performance tuning in real‐time environments
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- Contribute to process improvements including Agile execution and CI/CD for embedded systems
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Required Qualifications

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- 8+ years of experience in embedded software development
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- Strong proficiency in contemporary C++
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- Experience with real‐time operating systems such as VxWorks, RTEMS, or embedded Linux
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- Strong understanding of multithreading, synchronization, and concurrency
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- Experience with memory management in constrained systems
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- Understanding of deterministic timing and real‐time constraints
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- Experience in software architecture and system design
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- Familiarity with embedded debugging tools such as JTAG, trace, and low‐level diagnostics
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- Experience integrating software with custom hardware or SoCs
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Preferred Qualifications

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- Experience with autonomous systems (robotics, aerospace, marine, or ground systems)
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- Familiarity with frameworks such as ROS (Robot Operating System) and NASA Core Flight System (cFS)
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- Exposure to AI/ML concepts including edge inference, sensor fusion, and perception systems
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- Experience with guidance, navigation, and control (GNC) algorithms
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- Knowledge of communication protocols including TCP/UDP, CAN, DDS, and serial
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- Experience in safety‐critical or high‐reliability systems (aerospace, defense, maritime)
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Nice‐to‐Have Experience

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- Unmanned systems (UAV, UGV, USV)
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- Space or satellite systems
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- Defense or C5ISR environments
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- Experience deploying AI/ML models to embedded or GPU‐accelerated systems
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- Knowledge of Kalman filters, probabilistic estimation, route planning, and mission planning
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- Experience with simulation tools such as CARLA, Gazebo, or AirSim
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📌 Senior Embedded Software Engineer (Victoria)
🏢 YO IT CONSULTING
📍 Victoria