Embedded Real-Time Software Engineer - AI Robotics

Advanced Navigation

Sydney

On-site

AUD 120,000 - 160,000

Full time

2 days ago
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Job summary

Advanced Navigation is seeking an Embedded Software Engineer to develop real-time embedded software for navigation products. You will work with Product Management to ensure requirements are met within realistic timelines, while helping the team enhance capabilities and coding practices.

You will collaborate with hardware, participate in design discussions for future products, and leverage AI-assisted tools to optimize workflows.

Qualifications

  • Degree-qualified engineer with specialization in computer systems, software, mechatronics or similar.
  • Able to deeply learn topics and solve problems as they arise.
  • Turn high-level discussions into detailed work plans with progress reporting.
  • Proactive, self-starting with ownership and reliability.
  • Energetic, decisive, and focused on follow-through.
  • Strong attention to detail and time management.

Responsibilities

  • Develop embedded software for navigation product range.
  • Collaborate with Product Manager to meet requirements and timelines.
  • Grow collective skills within the team.
  • Develop embedded C/C++ real-time applications.
  • Coordinate with hardware team to align software and hardware.
  • Contribute to design processes for future products.
  • Develop tools, diagnostics, and infrastructure for bring-up and testing.
  • Ensure software complies with international standards.

Skills

C/C++ proficiency
Communication skills
Time management
Attention to detail
Learning new topics

Education

Engineering degree

Tools

Linux
FreeRTOS
STM32
Yocto Project
Python
MATLAB
ARM Cortex-A53 in SoC

Job description

Advanced Navigation is seeking an Embedded Software Engineer to develop real-time embedded software for navigation products. You will work with Product Management to ensure requirements are met within realistic timelines, while helping the team enhance capabilities and coding practices.

You will collaborate with hardware, participate in design discussions for future products, and leverage AI-assisted tools to optimize workflows.

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