Embedded Software Engineer Robotics

vor 1 Woche


Zürich, Schweiz TalentCloud Group Vollzeit

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 responsibilities Develop and maintain embedded software for real-time perception and autonomy systems. Build and streamline the embedded development workflow (cross-compilation, flashing, CI/CD, deployment). Optimize compute pipelines for constrained devices, including GPU-accelerated image processing. Integrate sensors and implement reliable data pipelines (camera, LiDAR, etc.). Analyse system performance and apply improvements to latency, throughput and power usage. Produce clear documentation, tests and reproducible build artefacts. Collaborate across software, hardware and product teams to align architecture with operational needs. Core experience (must-haves) Minimum ~2 years hands-on experience developing on embedded targets for machine-vision, robotics or similar domains. Strong C/C++ skills and comfortable working in Linux-based embedded environments. Demonstrable experience optimizing workloads for embedded GPUs or other accelerators. Confident troubleshooting of cross-compile and deployment toolchains; familiarity with build systems and CI for embedded projects. Practical knowledge of sensor integration and real-time data handling. Desirable (nice to have) Experience with robotics middleware (ROS / ROS2) or robotics frameworks. Familiarity 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 platforms. Qualifications & languages Degree in Computer Science, Electronic Engineering, Mechatronics or related discipline (or equivalent practical experience). Fluent in English. German is advantageous but not essential. What is on offer A technically challenging role with direct impact on deployed systems. Small, interdisciplinary teams and fast decision cycles. Opportunity to work with cutting-edge edge-AI and robotics technologies.



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