We’re supporting a fast-moving technology team building intelligent mobile platforms. You’ll work at the junction of low-level software, perception and edge compute — helping to design, optimise 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)
• Optimise 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 optimising 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 in Advanced Driving Assistance Systems (ADAS) & NVIDIA DRIVE AGX Platform
• Accustomed to 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’s 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