Embedded Software Engineer — Robotics / Intelligent Machines

We are supporting a fast-moving technology team building intelligent mobile platforms. You will work at the junction of low-level software, perception and edge compute helping to design, optimize and deploy embedded solutions that run in real environments.Key responsibilitiesDevelop and maintain embedded software for real-time perception and autonomy systemsBuild and streamline the embedded development workflow (cross-compilation, flashing, CI/CD, deployment)Optimize compute pipelines for constrained devices, including GPU-accelerated image processingIntegrate sensors and implement reliable data pipelines (camera, LiDAR, etc.)Analyse system performance and apply improvements to latency, throughput and power usageProduce clear documentation, tests and reproducible build artefacts.Collaborate across software, hardware and product teams to align architecture with operational needsCore experience (must-haves)Minimum ~2 years hands-on experience developing on embedded targets for machine-vision, robotics or similar domainsStrong C/C++ skills and comfortable working in Linux-based embedded environmentsDemonstrable experience optimizing workloads for embedded GPUs or other acceleratorsConfident troubleshooting of cross-compile and deployment toolchains; familiarity with build systems and CI for embedded projectsPractical knowledge of sensor integration and real-time data handlingDesirable (nice to have)Experience with robotics middleware (ROS / ROS2) or robotics frameworksFamiliarity with parallel programming (CUDA, OpenCL, or equivalent)Background in perception algorithms (SLAM, sensor fusion, computer vision)Experience in safety-critical or regulated industries (automotive, aerospace, medical)Prior exposure to automotive-grade SoCs or embedded inference platformsQualifications & languagesDegree in Computer Science, Electronic Engineering, Mechatronics or related discipline (or equivalent practical experience)Fluent in English. German is advantageous but not essentialWhat is on offerA technically challenging role with direct impact on deployed systemsSmall, interdisciplinary teams and fast decision cyclesOpportunity to work with cutting-edge edge-AI and robotics technologies