AI Robotics System Engineer; Human

Your mission & challenges

As an AI Robotics System Engineer, you will work within the central AI team to develop AI-based functions and applications for our entire robotics portfolio — ranging from the cognitive robot arm MAiRA, to the humanoid 4NE-1, and the service robot MiPA. Your scope of work covers all types of applications: customer projects, internal development projects, trade fair and demo setups, as well as exploratory prototypes.

• Develop and integrate AI-based functions across the robotics portfolio (robot arms, humanoids, service robots).
• Implement AI capabilities into end-to-end robotic systems, from design and prototyping to testing and validation on real hardware.
• Integrate sensors, actuators, ROS-based software, and AI models into reliable, production-ready systems.
• Collaborate closely with AI researchers to translate models and algorithms into practical robotic applications.
• Work with project managers, software engineers, and business partners to define requirements and scalable implementation paths.
• Support customer projects, demos, trade fairs, and exploratory prototypes.
• Assist users in Neura Gym with application setup, data collection, skill training, and hardware testing.
• Enable teams, partners, and customers to develop, validate, and independently operate AI-powered robotic systems.
• Apply expertise in C++, ROS, robotics, kinematics, motion and grasp planning, including classical and learning-based approaches.

• A degree in Robotics, Computer Science, or a related technical field
• At least three years of hands‑on experience in developing robotic applications or robotic systems
• Very strong programming skills in C++ and/or Python, especially in object‑oriented software development
• Solid experience with ROS (Robot Operating System) and working with real robotic platforms
• Ideally, several years of experience in machine learning for robotics, with strong expertise in at least one of the following areas:
  • Visual manipulation
  • Reinforcement / imitation learning
  • Multimodal models
• Expertise in developing low‑latency and high-performance software modules
• Knowledge of cloud environments (e.g. AWS, Azure, GCP) and robot simulation tools such as Isaac Sim or Mu Jo Co  is a plus
• Strong team spirit and the ability to work independently, in a structured and proactive manner within a dynamic, interdisciplinary environment
• Strong analytical and organizational skills, enabling you to manage multiple projects efficiently in parallel
• Clear and open communication skills, both internally and externally, allowing you to confidently bridge research, engineering, and users
• Fluent English