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Embedded AI Engineer

Robotec.ai

Warsaw, Masovian Voivodeship, Poland Hybrid contract

Posted: March 31, 2025

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Quick Summary

We are looking for a Senior or Mid Embedded AI Engineer to join our team, contributing to developing state-of-the-art robotic simulations and testing tools for robotics, automotive, logistics, and mining industries. The ideal candidate should have expertise in AI, robotics, and simulation technologies, with experience working with open-source projects. Strong problem-solving skills and a passion for working with complex systems are essential.

Job Description

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.

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