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GreenGuard Linkedin · Posted 2d ago

Computer Vision Engineer

Aarhus

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Company Description

GreenGuard Automation is reinventing food production to build a more sustainable planet.

We develop autonomous agricultural system that combine computer vision, AI and laser technology to identify and eliminate weeds without pesticides.

Join a fast-paced and growing startup where you will take real ownership, have fun with an ambitious team and build technology that can make a genuine impact on the world.


Role Description

We are looking for a Computer Vision Engineer to develop the perception and laser-targeting systems at the heart of our robot.

You will:

  • Build real-time models for crop and weed detection
  • Translate visual detections into precise laser targeting
  • Train models using real-world image and video data
  • Optimize and deploy models on edge hardware
  • Test and improve the system in changing field conditions
  • Take ownership from prototype to deployment

This is a full-time, on-site position in Aarhus.


What we are looking for

  • Experience with computer vision and deep learning
  • Proficiency in Python and PyTorch or TensorFlow
  • Experience with detection, segmentation, classification or tracking
  • A practical mindset and motivation to build real-world systems
  • A relevant technical degree or equivalent practical experience
  • Experience with robotics, ROS 2, C++, OpenCV or edge deployment is a plus

You do not need to meet every requirement. We value curiosity, initiative and the ability to take ownership.


What we offer

  • A key role in a fast-paced and growing robotics startup
  • Significant influence on our technology, product and direction
  • Hands-on work with AI, robotics and laser systems
  • Real responsibility and ownership from day one
  • An ambitious team that works hard and has fun together
  • Competitive compensation and potential equity
  • The opportunity to create a real and measurable impact on the world
  • Join us in building the technology that can change how food is produced.


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