About us:

Agrikola AI is on a mission to eradicate pesticides and reduce agriculture's carbon footprint through AI and robotics. We help farmers automate their farms by replacing harmful chemicals with robotic solutions that prevent fungi, weeds, and pests — managed through a cloud platform for plotting, activity tracking, and crop monitoring.

What we seek: We're

looking for a motivated, hands-on Field Robotics Engineer excited about working at the intersection of sustainability, robotics, and agriculture. You'll develop the autonomy stack of our rovers — from sensor fusion and localization to reliable navigation through real farm terrain. You thrive in fast-paced environments, aren't afraid to get your hands dirty, and care deeply about how the system moves, where it thinks it is, and what it gets wrong. If you're passionate about real-world solutions to global challenges, we'd love to hear from you.

Your responsibilities

• Develop and maintain the sensor fusion pipeline, integrating data from RTK-GPS, IMUs, cameras, and depth sensors to produce reliable state estimates for autonomous navigation.
• Build and tune local and global navigation stacks, including path planning, obstacle avoidance, and waypoint following across unstructured agricultural terrain.
• Deploy and validate the autonomy system in real farm environments, running structured field tests and collecting data against ground truth.
• Identify and document edge cases encountered in the field, including navigation failures, localization drift, and sensor degradation, and drive improvements to the system.
• Collaborate with the perception team on the integration between detection outputs and navigation-triggered actions.

Requirements

• Master's degree in Robotics or a related field (or final-year student with availability)
• Fluency in English
• Strong problem-solving and communication skills
• 0 to 2 years of experience in software development for robotics
• Strong Python and C++ skills
• Solid experience with ROS2, including working with sensors, transforms, and navigation.
• Comfortable working outdoors with real hardware
• Solid understanding of Git workflows (feature branching, PRs, CI/CD)

What is a plus

• Experience with sensor fusion frameworks (e.g. EKF/UKF, factor graphs) or localization libraries
• Familiarity with agricultural or outdoor unstructured environments
• Experience with computer vision or perception pipelines; understanding what the rover sees is a meaningful complement to knowing how it moves
• MLOps basics like model versioning and performance tracking across deployments

Why join us?

• Be part of a project that is transforming agriculture and making a real impact on sustainability
• Learn, grow, and innovate in a collaborative, supportive environment
• Own the full arc from raw sensor data to real-world autonomous decisions, out in an actual field

How to apply:

Send your CV and short introduction about yourself to jobs@agrikola.ai , and we will get in contact with you within a week! Candidates must already be eligible to work in Spain, we are unable to offer visa sponsorship.