Embedded Software Engineer — Robotics / Intelligent Machines

About the role

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.

Required profile

• 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.

Required skills

• C/C++ programming.
• Linux‑based embedded development.
• GPU acceleration (CUDA/OpenCL).
• Cross‑compilation toolchains and CI/CD pipelines.
• Robotics middleware (ROS / ROS2).
• Sensor integration (camera, LiDAR).

What we 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.