Robotics Software Engineer (Autonomy/Navigation)

Lawrence Harvey Portugal
Relocation
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AI Summary

Design and implement a ROS 2-based autonomy architecture for an AI-driven autonomous sprayer in protected agriculture. Work on real-world autonomy in GPS-denied, semi-structured environments. Optimize real-time performance and robustness.

Key Highlights
Autonomy stack design and implementation
Navigation and localization using sensor fusion
Real-world testing and debugging
Technical Skills Required
ROS 2 C++ Python IMU integration Odometry Sensor fusion SLAM State estimation Path-following algorithms
Benefits & Perks
Salary €50,000 - €90,000 + shares
Hybrid working in Porto, Portugal
Relocation support available

Job Description


Robotics Software Engineer (Autonomy/Navigation)


Want to work on a real autonomous robot operating in the field - not just in simulation?


A scaling agriculture robotics start-up is building an AI-driven autonomous sprayer designed for protected agriculture. They're focusing on on real-world autonomy in GPS-denied, semi-structured environments, where robustness matters more than demos.


They’re looking for a Robotics Software Engineer to design and implement the core autonomy stack, owning navigation, localisation, and on-robot performance from lab to field.


If you enjoy working hands-on with real robots, autonomy stacks, and challenging environments - keep reading.


What You’ll Be Doing

  • Design and implement a ROS 2–based autonomy architecture
  • Build localisation and navigation using sensor fusion across IMU, wheel odometry, and visual or LiDAR cues
  • Work with SLAM, state estimation, and path-following algorithms
  • Integrate perception outputs into navigation and spraying behaviours
  • Optimise real-time performance and robustness in GPS-denied agricultural environments
  • Support field testing, debugging, and continuous improvement cycles on live robots


What They’re Looking For

  • Strong experience with ROS 2 and Nav2
  • Solid C++ and Python skills
  • Hands-on experience with IMU integration, odometry, and sensor fusion
  • Experience deploying autonomy on real robots, not just research or simulation
  • Familiarity with computer vision pipelines in robotics


Nice to Have

  • Experience in agri-robotics, AMRs, or outdoor autonomous systems
  • Understanding of safety-critical robotics or fail-safe logic


Hybrid working in Porto, Portugal, with relocation support available.


Salary €50,000 - €90,000 + shares.


Want to build autonomy that actually works in the real world and help shape the future of agricultural robotics? Apply now for immediate consideration.


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