AI Software Engineer, Stimulation (f/m/d)

<h2><strong>About TACTILIA</strong></h2><p style="min-height:1.5em">At TACTILIA, we are building the industry-ready robotic hand that closes one of the biggest gaps in Physical AI. Spun out of SCHUNK, the global market leader in gripping technology, we combine a decade of robotic-hand expertise and real industrial access with the speed and ambition of a deep-tech startup.</p><p style="min-height:1.5em">This isn't a research project waiting for its first customer. We already have a product, customers are ready to use it, and we are launching now. Your work will directly shape the electronics, actuators, and embedded systems that make that possible.</p><p style="min-height:1.5em">You will join at the moment when the hard engineering questions become real product decisions: how do we make a highly capable robotic hand reliable, manufacturable, serviceable, and simple enough to deploy on a real shop floor?</p><p style="min-height:1.5em"></p><h2><strong>The Role:</strong></h2><p style="min-height:1.5em">As an AI Software Engineer focused on Simulation, you will build the simulation and software infrastructure that enables TACTILIA's robotic hands to learn, test and improve before they touch the real world.</p><p style="min-height:1.5em">You will work at the intersection of robotics, simulation and AI — developing environments, models and tools for training and evaluating robotic hand behaviours. Your work will help bridge simulation and reality and accelerate the development of dexterous manipulation skills.</p><h2><strong>What you will do:</strong></h2><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Build and maintain simulation environments for robotic hands and dexterous manipulation</p></li><li><p style="min-height:1.5em">Develop simulation models for robot dynamics, actuators, sensors and contact interactions</p></li><li><p style="min-height:1.5em">Develop software infrastructure for training, evaluating and benchmarking AI-based manipulation policies</p></li><li><p style="min-height:1.5em">Work with reinforcement learning, imitation learning and other learning-based approaches for robotics</p></li><li><p style="min-height:1.5em">Build pipelines for simulation-to-real transfer and validate policies on real robotic hardware</p></li><li><p style="min-height:1.5em">Generate and manage simulation data for training and evaluation</p></li><li><p style="min-height:1.5em">Integrate simulation environments with robotics and AI software stacks</p></li><li><p style="min-height:1.5em">Collaborate closely with robotics, controls and hardware engineers to translate real-world behaviour into simulation</p></li><li><p style="min-height:1.5em">Develop tools and workflows that make simulation faster, more reliable and useful for product development</p></li></ul><h2><strong>What you bring:</strong></h2><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Degree in Computer Science, Robotics, AI, Electrical Engineering or a related field</p></li><li><p style="min-height:1.5em">Strong software engineering skills in Python and C++</p></li><li><p style="min-height:1.5em">Experience with robotics simulation and/or physics engines</p></li><li><p style="min-height:1.5em">Experience with machine learning applied to robotics</p></li><li><p style="min-height:1.5em">Good understanding of robot kinematics, dynamics and control</p></li><li><p style="min-height:1.5em">Experience working with robotic systems, sensors and/or simulation environments</p></li><li><p style="min-height:1.5em">Strong problem-solving skills and a pragmatic, hands-on approach</p></li><li><p style="min-height:1.5em">Ability to work across AI, software and physical robotics</p></li></ul><h2><strong>Bonus:</strong></h2><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Experience with reinforcement learning or imitation learning</p></li><li><p style="min-height:1.5em">Experience with simulation-to-real transfer</p></li><li><p style="min-height:1.5em">Experience with MuJoCo, Isaac Sim, Isaac Lab or similar simulation frameworks</p></li><li><p style="min-height:1.5em">Experience with dexterous manipulation, grasping or robotic hands</p><p style="min-height:1.5em"></p></li></ul><p style="min-height:1.5em">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.</p><p style="min-height:1.5em">At TACTILIA, you'll work on one of the hardest open problems in robotics: giving machines the dexterity, reliability and robustness to interact with the physical world at industrial scale.</p><p style="min-height:1.5em">The technology is taking shape, the team is being built, and the standards around robotic hands and their skills are still open. That means your decisions will have a lasting impact — not just on a product, but on what comes next for Physical AI.</p><p style="min-height:1.5em"><strong>Build the hand. Define the standard. Shape what comes next.</strong></p><p style="min-height:1.5em">If you're excited by the challenge of building robotic hands that works reliably in the real world, we'd love to hear from you.</p><p style="min-height:1.5em"></p><p>Find <a href="https://www.arbeitnow.com">Jobs in Germany</a> on Arbeitnow</a>