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We help our customers build state-of-the-art robotic simulations and testing tools to ensure their machines work safely and efficiently. Our teams support the world’s largest companies in safe and cost-effective automation. We build human-centered robotics solutions and contribute to the industry’s top open-source projects.\nCheck out some of our projects on GitHub .\nWe are looking for a Senior or Mid Embedded AI Engineer who will help us integrate Large Language Models into various robotics pipelines.\nWhat you will do:\nImplement state of the art LLMs in the context of robotics. \nDeploy Agentic AI solutions on embedded platforms. \nOptimize AI models for embedded platforms. \nDevelop LLM-based agents. \nWork with simulated and real robots. \nWork on hardware in the loop simulations. \nRequirements:\nBackground in robotics or experience applying in ML to robotics or developing ROS applications. \nUnderstanding robot software stack (packages such as nav2, moveit2). \nSolid software engineering skills in C++. \nGood software engineering skills in Python. \nPractical experience with ML frameworks and libraries such as PyTorch, Tensorflow, Numpy, Pandas, Matplotlib and Langchain. \nDeep understanding of ROS2 and knowledge about simulating robots. \nKnowledge about quantization techniques. \nNice to have’s:\nExperience with deploying ML on the edge, especially newer models. \nAny experience with NPUs. \nPractical experience with LLM inference engines like ollama, vllm, llama.cpp, mlc. \nExperience in performance / footprint optimization techniques for embedded. \nProven track record delivering impressive robotic demos. \nExperience in Reinforcement Learning. \nExperience with FPGA. \nWhat’s in it for you:\nWork with the best experts in robotics, simulation using the latest technologies. \nOpportunity to contribute to open source. \nCompetitive salary (up to 26 000 + VAT). \nCosy office space at Hala Koszyki, Warsaw. \nPrivate medical care and sports card. \nFlexible working hours in hybrid mode. \nFriendly and team-oriented 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