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

Tactiliarobotics

MunichPosted about 1 month agoDiscoveredMatch locked

Full TimeR&D

About TACTILIA

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. 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. 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?

The Role

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. 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.

What you will do

Build and maintain simulation environments for robotic hands and dexterous manipulation

Develop simulation models for robot dynamics, actuators, sensors and contact interactions

Develop software infrastructure for training, evaluating and benchmarking AI-based manipulation policies

Work with reinforcement learning, imitation learning and other learning-based approaches for robotics

Build pipelines for simulation-to-real transfer and validate policies on real robotic hardware

Generate and manage simulation data for training and evaluation

Integrate simulation environments with robotics and AI software stacks

Collaborate closely with robotics, controls and hardware engineers to translate real-world behaviour into simulation

Develop tools and workflows that make simulation faster, more reliable and useful for product development

What you bring

Degree in Computer Science, Robotics, AI, Electrical Engineering or a related field

Strong software engineering skills in Python and C++

Experience with robotics simulation and/or physics engines

Experience with machine learning applied to robotics

Good understanding of robot kinematics, dynamics and control

Experience working with robotic systems, sensors and/or simulation environments

Strong problem-solving skills and a pragmatic, hands-on approach

Ability to work across AI, software and physical robotics

Bonus

Experience with reinforcement learning or imitation learning

Experience with simulation-to-real transfer

Experience with MuJoCo, Isaac Sim, Isaac Lab or similar simulation frameworks

Experience with dexterous manipulation, grasping or robotic hands

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. 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. 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.

Build the hand. Define the standard. Shape what comes next.

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. Find more English Speaking Jobs in Germany on Arbeitnow

Not included in the source posting: qualifications, benefits.

Skills

artificial-intelligencecmachine-learningpython

Who can apply

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