Your role

In this role, you will support our customers to deliver proof-of-concept solutions that bring Physical AI into real robot applications. You will take existing PoCs prepared by other team members using traditional programming and enhance them by integrating our AI tools with our robotic systems. Working hands-on with Physical AI, you will improve performance, adaptability, and overall value so customers can see tangible results quickly. You will also prepare and showcase AI robotics demos at fairs and conferences. You will bridge robotics and AI application work, turning established baselines into smarter, demonstrable systems. 

Your experience and qualifications

Your Experience

• Stay in close exchange with the AI tools team to stay informed on new tools and updates to existing ones
• Analyze PoC requirements and define how Physical AI and our AI tools can best improve each application
• Plan and execute the integration of Physical AI into existing, traditionally programmed PoCs 
• Align early with colleagues working on the classical programming so PoCs are designed for straightforward AI tool integration
• Evaluate how effectively Physical AI improves application performance and document the results
• Collect feedback from customers and customer applications, then forward it to the relevant internal teams
• Create clear documentation of integrations, approaches, and outcomes
• Visit customers on-site to support integration and ensure successful deployment
• You develop and prepare demos for fairs and conferences with a focus on Physical AI
• You are responsible for the setup, maintenance and dismantling of demos at fairs and conferences
• You provide technical information to potential customers at fairs and conferences

• Bachelor’s or Master’s degree in Robotics, Computer Science, Engineering, or a 
  related field
• Hands-on experience with Vision-Language-Action (VLA) models (e.g., NVIDIA Isaac 
  GR00T)
• Strong proficiency in ROS 2, C/C++, and Python
• Practical experience deploying and operating real robotic systems, preferably 
  manipulators (robot arms)
• Working knowledge of computer vision and robot perception, including object 
  detection, 6D pose estimation, and related methods
• Experience with imitation learning, reinforcement learning, and/or learned grasp and 
  motion planning
• Experience with multimodal sensor fusion (e.g., vision with force/torque, tactile, 
  and/or depth sensing)
• Experience with robot simulation and sim-to-real transfer (e.g., NVIDIA Isaac Sim, 
  Gazebo, MuJoCo) is a plus
• High interest in state-of-the-art Physical AI methods and systems
• Good communication skills in English; German language skills are a plus
• Willingness to travel internationally (~30%

Why us?