Embedded Software Engineer

5 days ago

Sydney, New South Wales, Australia TheDriveGroup Full time

We're looking for a talented and driven Embedded Software Engineer to help build, scale, and support complex sensor systems operating in real-world environments. In this role, you'll design and implement embedded software that runs on Linux-based systems, contributing to projects that push the boundaries of real-time data processing, RF signal detection, and automated response.

You'll work closely with teams spanning AI/ML, data science, hardware engineering, and cloud infrastructure to create robust solutions capable of handling mission-critical workloads. The software you build will directly support security, defence, and remote surveillance applications.

What You'll Be Doing

  • Develop and maintain embedded software features on Linux-based edge systems
  • Collaborate across disciplines to meet operational and performance requirements
  • Ensure code is designed for resource-constrained, high-uptime environments
  • Implement features using modern C++ and Python, depending on project needs
  • Participate in software design discussions, code reviews, and performance tuning
  • Work on inter-process communication mechanisms for modular, scalable architectures
  • Create and maintain high-quality technical documentation for implemented components
  • Contribute to the continuous integration pipeline and system testing frameworks
  • Support system monitoring, logging, and observability in production deployments
  • Engage with DevOps and infrastructure specialists to improve deployment workflows

Your Background

  • Degree in Computer Science, Software Engineering, or a related technical field
  • Proven experience developing applications in modern C++ and/or Python
  • Strong understanding of Linux development (embedded Linux preferred)
  • Familiarity with multi-process systems and IPC mechanisms
  • Exposure to Docker, Git, CI/CD pipelines (e.g., GitLab), and versioning tools
  • Experience with design patterns, testing, and scalable software architecture

Bonus Points For

  • Knowledge of concurrency, performance optimisation, or low-latency systems
  • Background in machine learning, RF signal processing, or DSP
  • Exposure to FPGA, sensor integration, or systems running in remote deployments
  • Understanding of DevOps practices, including observability and automated deployments

Interested candidates should click Apply and send through their details, or you can email me at for more info

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