Chief Embedded Software Developer

3 days ago

Sydney, New South Wales, Australia beBeeSoftware Full time $130,000 - $180,000
Embedded Software Engineer Opportunity

This is a unique chance to contribute to the development of complex sensor systems operating in real-world environments. As an Embedded Software Engineer, you will be responsible for designing and implementing embedded software that runs on Linux-based systems, leveraging your expertise in modern C++ and Python.

We are looking for a talented and driven individual who can develop and maintain embedded software features on Linux-based edge systems. Your collaboration with cross-functional teams spanning AI/ML, data science, hardware engineering, and cloud infrastructure will enable the creation of robust solutions capable of handling mission-critical workloads directly supporting security, defence, and remote surveillance applications.

Your Key Responsibilities
  • Develop, maintain, and optimize embedded software features on Linux-based edge systems
  • Collaborate with interdisciplinary teams to meet operational and performance requirements
  • Ensure code quality and design 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
  • Create and maintain high-quality technical documentation for implemented components
  • Contribute to continuous integration pipelines and system testing frameworks
  • Support system monitoring, logging, and observability in production deployments
Your Essential Qualifications
  • 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
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

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