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.