As a Robotics Engineer with a focus on embedded perception systems, you will play a critical role in enabling real-time autonomy onboard next-generation platforms. You will work directly with camera data pipelines, ROS2-based systems, and embedded compute platforms to build robust, efficient, and scalable perception and control functionality.

You will contribute as a highly skilled individual contributor—hands-on with the system—bridging diverse codebases and enabling data flows across native ROS2 nodes, legacy frameworks, and containerized third-party modules. Your work will be essential to ensuring that our autonomous systems operate reliably in real-world, resource-constrained environments.

• Develop and integrate real-time perception pipelines and control loop software on embedded platforms such as the Jetson Nano NX

• Migrate legacy monolithic systems to ROS2, refactoring and modularizing components for better scalability and maintainability.

• Enable and optimise image data access across native and containerized components (e.g., Dockerized ROS2 processes).

• Design and implement low-level camera and sensor drivers for real-time vision acquisition.

• Collaborate with AI, controls, and hardware teams to ensure tight integration between perception and other onboard subsystems.

• Profile and debug system performance under embedded constraints (compute, thermal, bandwidth), ensuring stability and robustness in field deployments.

• Contribute to system-level architecture discussions with a focus on communication reliability and modularity.
  
  

• Bachelor’s or Master’s degree in Engineering or a related technical field.

• Strong experience with ROS2, including real-world deployment and integration of perception modules.

• Proficient in Python and C++ for embedded and robotics development.

• Solid background in robotics, autonomous systems, embedded development, or aerospace applications.

• Familiarity with embedded Linux platforms, particularly NVIDIA Jetson devices.

• Experience integrating containerized processes (e.g., Docker) into onboard robotic systems.

• Ability to navigate and coordinate between different frameworks (ROS2, legacy/custom codebases, third-party modules).

• Strong problem-solving and debugging skills, especially in real-time or resource-constrained environments.

• Effective communicator and team player in multidisciplinary engineering teams.

• Self-driven, organized, and adaptable to fast-paced development cycles.

• Willingness to travel occasionally for field testing and deployment.

• Ability to travel regularly to the Devon and Dorset Area at least 2 days a week