Company Overview

Fieldwork Robotics is a pioneering autonomous robotics company developing modular, multi-crop, soft and adaptive robots designed to operate in real-world, non-controllable environments such as agricultural fields. Our mission is to transform farming through intelligent, scalable robotic systems that improve productivity, sustainability, and efficiency.

We operate a growing R&D headquarters in Cambridge and are establishing a new engineering hub in Lisbon following the incorporation of our Portugal subsidiary. Our teams work collaboratively across hardware, software, and operations to deliver reliable, production-grade autonomous robots.

Why Join Us

We’re building autonomous robots that operate in one of the most challenging real-world environments imaginable: soft, irregular plants, dense foliage, moving targets, variable lighting, wind, and real commercial performance constraints.

As a Senior C++ Software Engineer, you’ll be responsible for developing the core robot control software that enables our robots to reliably, efficiently, and profitably pick raspberries in the field. You’ll work at the intersection of robot control, perception, planning, and real-time systems, turning vision and ML outputs into robust physical actions.

This is a hands-on role with real machines, real crops, and real commercial targets.

What You’ll Be Doing

• Design, develop, and maintain and deploy high-performance modern C++ 20 software for production autonomous raspberry-picking robots
• Build robot control systems using ROS2 and ROS2 Control, integrating with hardware drivers, actuators, and sensors
• Consume perception outputs from vision and ML systems (fruit detection, tracking, quality estimation) and convert them into actionable robot behaviour
• Implement and improve algorithms for:
  • Fruit tracking and state estimation
  • Object detection integration
  • Path and trajectory planning
  • Obstacle avoidance in cluttered, deformable environments
  • Pick sequencing and optimisation under uncertainty
• Develop mathematical and algorithmic solutions to real-world robotics problems involving noise, latency, dynamics, and partial observability
• Control and optimise the full pick cycle
• Log performance data from the robot and build diagnostics, metrics, and tooling to analyse failures and improve reliability, speed, and yield
• Debug complex system-level issues spanning software, hardware, perception, and environment
• Drive improvements in robot performance against commercial KPIs such as pick success rate, throughput, damage rate, and uptime
• Collaborate closely with robotics, vision, ML, mechanical, electronics and embedded systems, and operations teams to ship integrated solutions