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.