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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Software Engineer, Imitation Learning - **Company:** TACTILIA robotics - **Location:** München, Germany - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, C++ (Programming Language), Learning Management Systems, Software Debugging, Python (Programming Language), Kinematics, Machine Learning, Robotic Automation Software, Software Engineering, Reinforcement Learning, Pytorch, Deep Learning, Information Technology, Data Pipelines - **Published:** September 23, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=f2b254c67f13606c ## About the Role * Degree in Computer Science, Robotics, AI, Electrical Engineering or a related field * Strong software engineering skills in Python and preferably C++ * Experience with imitation learning, behavioural cloning or related learning-based robotics methods * Strong understanding of machine learning and deep learning * Experience working with robotic systems and real-world sensor or trajectory data * Experience with PyTorch or a similar deep learning framework * Good understanding of robot kinematics, dynamics and control * Strong problem-solving skills and a hands-on approach to testing ideas on real systems * Ability to work across machine learning, software and physical robotics Bonus: * Experience with dexterous manipulation, grasping or robotic hands * Experience with teleoperation or demonstration data collection * Experience with reinforcement learning or offline RL * Experience with vision-language-action or multimodal policies * Experience deploying learned policies on real robotic hardware The next chapter of robotics won't be built in a lab. It will be built by people who care about what happens when technology meets the real world. ## Description As an AI Software Engineer focused on Imitation Learning, you will develop the learning systems that enable TACTILIA's robotic hands to acquire dexterous manipulation skills from demonstrations. You will work across data, machine learning and robotics to turn human demonstrations and robot trajectories into robust manipulation policies that can run on real hardware. Your work will help build the foundation for scalable skill learning and bring Physical AI from demonstrations into reliable real-world behavior. What you will do: * Develop imitation learning methods for dexterous manipulation and robotic hands * Build data pipelines for collecting, processing and curating demonstrations and robot trajectories * Develop and train policies from human and robot demonstrations * Work with multimodal data including robot states, actions, vision and tactile signals * Evaluate, debug and improve learned policies on simulation and real robotic hardware * Develop methods for data efficiency, generalisation and robust policy execution * Build software infrastructure for training, evaluation and deployment of learned behaviours * Work closely with robotics and controls engineers to integrate learned policies with the robot's control stack * Analyse failure cases and use them to improve datasets, training methods and policies * Contribute to the development of scalable approaches for learning new robotic skills ## Related Videos - [How I built my own intelligent Robot Arm from Scratch](https://www.wearedevelopers.com/videos/100097-how-i-built-my-own-intelligent-robot-arm-from-scratch) - [Robots are coming into the wild! Full-Stack Robotics Engineers, be ready!](https://www.wearedevelopers.com/videos/479-robots-are-coming-into-the-wild-full-stack-robotics-engineers-be-ready) - [The pitfalls of Deep Learning - When Neural Networks are not the solution](https://www.wearedevelopers.com/videos/14-the-pitfalls-of-deep-learning-when-neural-networks-are-not-the-solution) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) - [Robots Among us: Advances in AI for Everyday Androids](https://www.wearedevelopers.com/videos/100230-robots-among-us-advances-in-ai-for-everyday-androids) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [How we Build The Software of Tomorrow](https://www.wearedevelopers.com/magazine/120-how-we-build-the-software-of-tomorrow) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)