The role involves driving the development, integration, and deployment of embedded solutions for robotic applications. The engineer will work with high-performance SoC platforms to combine hardware-software co-design with real-time systems. Responsibilities include developing software stacks across heterogeneous architectures and designing AI-based robotic applications. The position requires implementing real-time control algorithms and middleware. Additionally, the engineer will integrate AI and machine learning models onto hardware accelerators.

Candidates must possess the ability to program applications and middleware on Linux and ROS2. Proficiency in C, C++, and Python is required, alongside a strong understanding of core robotics algorithms and computer vision techniques. Experience with microcontrollers, low-level hardware control, mechanical systems, and sensors is preferred. No specific degree or professional qualification is explicitly stated as a requirement.