Senior Embedded Software Engineer

Senior Embedded Software Engineer

Location: USA - Melbourne

Work Authorization: U.S. Citizen only - mandatory
Interview Process: Phone/Teams interview with CTP followed by client-level and onsite interview.

Position Overview

We are seeking a highly experienced Senior Embedded Software Engineer to design and deliver real-time software for autonomous systems operating in constrained mission-critical environments.

This role requires a strong combination of hands-on C development real-time embedded systems expertise software architecture ownership and exposure to autonomy navigation and AI-enabled systems. The ideal candidate should be comfortable working as both a deep individual contributor and a system-level thinker capable of shaping architecture and guiding development.

Key Responsibilities

• Design develop and maintain real-time embedded software using C.
• Architect modular scalable software systems for autonomous platforms.
• Develop navigation guidance control and autonomy-related components.
• Integrate AI/ML-driven capabilities into embedded or edge environments.
• Work across hardware interfaces middleware RTOS messaging frameworks and application-level autonomy logic.
• Collaborate with systems hardware and test teams to deliver end-to-end functionality.
• Drive software architecture decisions around interfaces data flow timing and resource constraints.
• Support debugging performance tuning and real-time system optimization.
• Contribute to Agile execution and CI/CD improvements for embedded software.

Required Skills

• 8 years of embedded software development experience.
• 8 years of strong C development experience preferably modern C.
• 8 years of experience with real-time operating systems such as VxWorks RTEMS or embedded Linux.
• Strong software architecture and system design experience.
• Strong understanding of multithreading synchronization concurrency and memory management.
• Experience with deterministic timing and real-time constraints.
• Experience with embedded debugging tools such as JTAG trace and low-level diagnostics.
• Experience integrating software with custom hardware or SoCs.

Preferred Skills

• Experience with autonomous navigation systems in marine aerospace robotics or ground systems.
• Familiarity with ROS or NASA Core Flight System.
• Exposure to AI/ML concepts such as edge inference sensor fusion perception or decision-making.
• Experience with GNC algorithms.
• Knowledge of communication protocols such as UDP/TCP CAN serial DDS etc.
• Experience in safety-critical or high-reliability systems such as aerospace defense or maritime.

Nice-to-Have Experience

• Experience with unmanned systems such as USV UAV or UGV.
• Space or satellite systems experience.
• Defense or C5ISR environment experience.
• Real-time autonomy at the edge.
• Experience deploying AI/ML models to embedded edge or GPU-accelerated systems.
• Experience with Kalman filters probabilistic estimation occupancy grids route planning and mission planning.
• Experience with synthetic data digital twins or simulation environments such as CARLA Gazebo AirSim or similar.