Senior Embedded Software Engineer in Melbourne

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Job DescriptionJob DescriptionSenior Embedded Software Engineer (Autonomous Systems)

Location: USA - Melbourne

Salary: Upto 165000 USD
Experience: 8+ Years
Work Authorization: Must be a U.S.

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

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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