Embedded Software Engineer

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 [email protected] for more info!