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Robotec.ai

Robotics simulation platforms for testing

Embedded AI Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeWarsaw, Poland$150k - $300kHybrid

About the Job

Requirements

  • Background in robotics, experience applying machine learning to robotics, or experience developing Robot Operating System applications.
  • Understanding of the robot software stack, including packages such as Nav2 and MoveIt 2.
  • Solid software engineering skills in C++.
  • Good software engineering skills in Python.
  • Practical experience with machine learning frameworks and libraries such as PyTorch, TensorFlow, NumPy, pandas, Matplotlib, and LangChain.
  • Deep understanding of ROS 2 and knowledge of robot simulation.
  • Knowledge of quantization techniques.

Responsibilities

  • Implement state-of-the-art large language models in robotics contexts.
  • Deploy agentic artificial intelligence solutions on embedded platforms.
  • Optimize artificial intelligence models for embedded platforms.
  • Develop large-language-model-based agents.
  • Work with simulated and real robots.
  • Work on hardware-in-the-loop simulations.

Desired Qualifications

  • Experience deploying machine learning on edge devices, especially newer models.
  • Experience with neural processing units.
  • Practical experience with large language model inference engines such as Ollama, vLLM, llama.cpp, and MLC.
  • Experience with performance and footprint optimization techniques for embedded systems.
  • A track record of delivering robotic demonstrations.
  • Experience in reinforcement learning.
  • Experience with field-programmable gate arrays.

About the Company

Robotec.ai

Robotics simulation platforms for testing

Robotec.ai builds scalable robotics simulation platforms that let companies test, train, and validate robotic systems inside realistic virtual environments. Using ROS and the Open 3D Engine, its simulations cover industries like automotive, agriculture, manufacturing, logistics, mining, and construction, with a focus on safe and human-centered outcomes. It differentiates itself through open-source contributions, AMD partnerships, and an emphasis on regulatory compliance to enable accessible digital twin and edge AI-powered robotics. The goal is to make robotics simulation and deployment more reliable and easier to bridge from virtual testing to real-world deployments.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Warsaw, Poland
Founded
2018

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