Robotec.ai is a deep-tech company that develops advanced simulation technologies for key global industries (robotics, automotive, logistics, and mining). 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.

Check out some of our projects on GitHub.

We are looking for a Senior or Mid Embedded AI Engineer who will help us integrate Large Language Models into various robotics pipelines.

What you will do:

• Implement state of the art LLMs in the context of robotics.
• Deploy Agentic AI solutions on embedded platforms.
• Optimize AI models for embedded platforms.
• Develop LLM-based agents.
• Work with simulated and real robots.
• Work on hardware in the loop simulations.

Requirements:

• Background in robotics or experience applying in ML to robotics or developing ROS applications.
• Understanding robot software stack (packages such as nav2, moveit2).
• Solid software engineering skills in C++.
• Good software engineering skills in Python.
• Practical experience with ML frameworks and libraries such as PyTorch, Tensorflow, Numpy, Pandas, Matplotlib and Langchain.
• Deep understanding of ROS2 and knowledge about simulating robots.
• Knowledge about quantization techniques.

Nice to have’s:

• Experience with deploying ML on the edge, especially newer models.
• Any experience with NPUs.
• Practical experience with LLM inference engines like ollama, vllm, llama.cpp, mlc.
• Experience in performance / footprint optimization techniques for embedded.
• Proven track record delivering impressive robotic demos.
• Experience in Reinforcement Learning.
• Experience with FPGA.

What’s in it for you:

• Work with the best experts in robotics, simulation using the latest technologies.
• Opportunity to contribute to open source.
• Competitive salary (up to 26 000 + VAT).
• Cosy office space at Hala Koszyki, Warsaw.
• Private medical care and sports card.
• Flexible working hours in hybrid mode.
• Friendly and team-oriented culture.