Embedded Software Engineer
3 days ago
We're looking for a talented and driven 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 applications in security, defence, and remote surveillance.
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 , Python, or Go, 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
- 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
- Knowledge of concurrency, performance optimisation, or low-latency systems
- Hands-on experience with Go programming
- 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
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