Embedded Real-Time AI-Driven Software Engineer

Advanced Navigation; Australia; On-site; AUD 120,000 - 150,000; Full time

Job summary

Advanced Navigation is seeking an Embedded Software Engineer to advance our AI robotics and navigation platforms across land, air, sea and space. You will develop embedded C/C++ real-time software, collaborate with hardware and product teams, and apply modern AI tools to improve coding workflows, while owning a software component from design through delivery.

The role requires a degree in engineering, 4+ years in embedded software, Linux experience and a proactive, detail‑oriented work ethic.

Qualifications

• Engineer degree in computer systems, software, mechatronics or similar.
• Ability to learn new topics and solve problems.
• Track record of turning high level discussions into detailed work plans.
• Proactive, ownership-driven approach with initiative.
• Motivated, energetic and decisive.
• Attention to detail and strong time management.

Responsibilities

• Develop embedded software for navigation product range.
• Collaborate with Product Manager to meet requirements and timelines.
• Grow the collective skills of the team.
• Develop embedded C/C++ real-time applications.
• Collaborate with hardware team to align software with hardware.
• Contribute to the design of future products.
• Leverage AI-assisted tools to optimize coding workflows.
• Develop software tools, diagnostics and tests for bring-up and manufacturing.
• Ensure compliance with international/regional standards.
• Own a component of a project and manage deadlines.
• Deliver quality software to schedules.

Skills

Embedded C/C++

Real-time

Team collaboration

Problem solving

Learning quickly

Communication

Education

Engineering degree

Tools

Linux

Container apps

FreeRTOS

Yocto

ARM Cortex-A53

Job description

Advanced Navigation is seeking an Embedded Software Engineer to advance our AI robotics and navigation platforms across land, air, sea and space. You will develop embedded C/C++ real-time software, collaborate with hardware and product teams, and apply modern AI tools to improve coding workflows, while owning a software component from design through delivery.

The role requires a degree in engineering, 4+ years in embedded software, Linux experience and a proactive, detail‑oriented work ethic.