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Robotics Engineer - AI

External
sensmore logoSensmore · Potsdam Office
Full-timeOn-site3mo ago
Machine LearningPythonPyTorchRoboticsSAFeTensorFlow
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About the role

Heavy machinery, light years ahead. sensmore automates the world's largest machines with unprecedented intelligence. Our proprietary Physical AI enables heavy machines such as wheel loaders to instantly adapt to dynamic environments and execute new tasks without prior training. We integrate cutting-edge robotics into a platform powering intelligence and automation products - transforming productivity and safety for customers in mining, construction, and adjacent industries today. We are proudly backed by Point Nine and other Tier 1 investors.

Responsibilities

  • Design and implement AI systems that can combine vision and language to improve the autonomy of robotic platforms
  • Optimize and refine AI systems that leverage radar and other sensory technologies for end-to-end learning
  • Test and validate models under real-world conditions to ensure reliability and effectiveness
  • Collaborate with interdisciplinary teams of software engineers and roboticists to integrate these systems into larger automation solutions
  • Manage the full cycle of development, from initial research through deployment and ongoing optimization
  • Required Qualifications:
  • Bachelor's or Master's degree in Robotics, AI, Computer Science, Electrical Engineering, or a related field
  • Strong programming skills in Python and familiarity with C++
  • Proven expertise in machine learning and robotic control systems
  • Experience with frameworks such as PyTorch or TensorFlow
  • Demonstrated experience deploying AI systems in real-world robotic applications
  • Ability to tackle complex, interdisciplinary technology challenges
  • Preferred Skills:
  • Practical experience implementing Vision-Language Action Models in robotic systems
  • Familiarity with sensor fusion techniques and real-time system integration
  • Experience with robotics simulation and testing frameworks
  • Knowledge of outdoor SLAM (Simultaneous Localization and Mapping) techniques
  • Experience with radar data processing or similar sensory inputs
  • Track record of maintaining and supporting deployed robotic AI systems in production environments
  • Publication or contribution to relevant AI or robotics conferences or journals

Benefits

Build physical AI for the world's largest off-highway machinery - making them intelligent, safe, and ready for every tough taskJoin the pioneer in intelligent robotics backed by Point Nine & other Tier 1 investorsCombine cutting-edge robotics research in end-to-end learning & Vision Language Action Model with real-world heavy mobile equipmentTailor your own career path, whether you like to become technical specialist or technical team leadExperience a great team culture, beverages, and an amazing office environmentAttractive compensation package and stock options.Beverages on-site and regular social events.Engage with top-tier researchers, engineers, and thought leaders.Influence the future of robotic technologies and tackle significant technological challenges.Assistance with relocation to Berlin.Vision insuranceEquity / stock options

Additional Information

sensmore automates the world's largest machines with unprecedented intelligence. Our proprietary Physical AI enables heavy machines such as wheel loaders to instantly adapt to dynamic environments and execute new tasks without prior training. We integrate cutting-edge robotics into a platform powering intelligence and automation products - transforming productivity and safety for customers in mining, construction, and adjacent industries today. Join us and play a pivotal role in transforming the automation landscape in heavy industries. Role Overview: We are looking for a skilled Robotics AI Engineer to join our team. The ideal candidate will possess expertise in Vision Language Models (VLM) and artificial intelligence systems for robotics. This role focuses on integrating vision, language understanding, and action generation to develop AI systems that enhance robotic interaction, perception, navigation, and autonomy in complex real-world environments.

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