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Junior Automation Engineer

2 weeks ago

Athens, Attica, Greece Smart Farming Technology Group - Agricultural University of Athens Full time €40,000 - €60,000 per year

We're the passionate
Smart Farming Technology Group
at the
Agricultural University of Athens
, and we're on the lookout for a highly motivated
Junior Automation Engineer
to join our innovative team If you're eager to apply your skills to real-world challenges in agricultural automation and have a knack for working with robust software systems and edge computing devices, we want to hear from you.

As part of our team, you'll be instrumental in
developing and implementing advanced automation solutions
, with a particular
focus on optimizing our smart farming applications
. This is an exciting chance to contribute to impactful projects and grow your expertise in a dynamic, supportive environment.

Responsibilities:

  • Develop and implement automation scripts and control logic using Python for smart farming applications.
  • Work with edge devices like NVIDIA Jetson or Raspberry Pi for localized data processing and control.
  • Collaborate with the engineering team to design, test, and deploy robust automation solutions in agricultural environments.
  • Contribute to code reviews and maintain clear documentation of your work.
  • Become a core member of our team, actively participating in brainstorming and discussion sessions, and contributing to the exchange of ideas and solution identification.

Qualifications:

  • Bachelor's Degree in Computer Science, Electrical Engineering, Automation, or a related technical field.
  • Proficiency in Python programming for scripting, data analysis, and developing control logic.
  • Solid understanding of Linux operating systems and terminal commands.
  • Hands-on experience with edge AI devices, such as NVIDIA Jetson or Raspberry Pi.
  • Good problem-solving and solution design skills.
  • Excellent communication skills and a collaborative mindset.

Nice to Have:

  • Familiarity with robotic control systems or ROS2 development.
  • Knowledge of sensor integration and data processing (e.g., Lidar, GPS, IMU).
  • Experience with AI-based computer vision tasks, including Object Detection, Instance Segmentation, Semantic Segmentation, and Classification.
  • Hands-on experience with PyTorch for AI model development.
  • Prior hands-on experience with agricultural machinery or similar automated platforms.

Benefits:

  • Competitive salary package.
  • Opportunity to work on cutting-edge technologies in smart farming and precision agriculture.