Field Robotics Engineer

Our client operates at the dynamic intersection of hardware, software, and real-world autonomy. Their flagship technology integrates sensing, compute, networking, and communication into a manufacturer-agnostic system deployable across a wide variety of machinery.

As a Field Robotics Engineer, you will bridge the gap between cutting-edge technology and live field operations. Combining hands-on technical troubleshooting with end-to-end project ownership, you will lead customer deployments from initial planning through on-site execution and long-term optimization.
When you aren’t traveling to client sites across the Oxford–London corridor (or internationally as needed), you can work remotely or from the Oxford area.

What You’ll Do

• Lead Project Execution: Drive customer deployment projects from concept to completion, managing technical planning and execution alongside R&D and Operations.
• On-Site Commissioning: Lead hands-on setup, integration, and field testing to ensure systems deliver maximum reliability and performance in demanding environments.
• Client Technical Engagement: Serve as the primary technical partner for clients, providing clear guidance, system training, and direct support throughout the project lifecycle.
• System Diagnostics & Optimization: Perform rigorous field testing, analyze complex system behaviors, and resolve multi-layered hardware/software issues.
• Continuous Process Improvement: Translate field insights into action by generating performance reports and collaborating with engineering teams to refine deployment tools, workflows, and best practices.

Essential Requirements

• Education: University degree (BSc, MSc, or Applied Sciences / Fachhochschule) in Robotics, Mechatronics, Electrical Engineering, Mechanical Engineering, or a related field.
• Field Integration & Debugging: Proven hands-on experience deploying, integrating, and troubleshooting complex robotic software and hardware systems.
• Core Tech Stack: Strong practical knowledge of the ROS / ROS 2 ecosystem, Linux, and Git version control.
• Software Skills: Solid working knowledge of C++ and Python.
• Mobility & License: Valid Category B driving license and full willingness to travel extensively to client sites (including international travel depending on project needs).

Desirable Extras

• Prior exposure to autonomous heavy machinery, off-highway vehicles, or construction automation.
• Experience with industrial communications, CAN bus networks, or advanced sensor integration (LiDAR, GNSS, Radar, Cameras).
• Background in client-facing technical support or field commissioning roles within deep tech/robotics.