Build cutting-edge software powering next-generation deployed sensors Collaborate with multidisciplinary teams across ML, RF, Embedded teams Work at the intersection of reliability, performance, and real-time intelligence 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 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 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 Interested candidates shouldn't click Apply and send through their details, or you can email me at for more info! Reference number: Profession:Software EngineeringSoftware Engineering Company: TheDriveGroup Date posted: 25th May, 2025