Overview
Are you a software engineer who wants to build intelligent, adaptive robotic systems?
Do you enjoy designing and implementing control and autonomy software that links perception, planning, and actuation, enabling robots to interact intelligently with their environment?
This role is perfect for engineers with strong robotics and control fundamentals who love working at the intersection of hardware, software, and autonomy, building systems that go beyond standard automation.
If you excel in a fast-paced, exploratory engineering environment and want to push robotics and applied AI beyond existing limits while making a tangible real-world impact, this could be the right fit.
What You’ll Be Doing
- Design and implement control and autonomy software for robotic platforms.
- Integrate perception, planning, and actuation into cohesive, intelligent systems.
- Build and maintain software architectures bridging low-level control, perception, and high-level planning.
- Configure and extend robotic middleware and interfaces (e.g., ROS 2 or similar)
- Contribute to and leverage simulation, modelling, and validation of robotic systems in virtual environments (e.g., Nvidia Isaac, Gazebo) and physical labs.
- Collaborate with cross-disciplinary teams to combine software, hardware, and intelligence.
- Contribute to the full engineering lifecycle, including architecture, lab testing, and documentation.
What We’re Looking For
- Degree or equivalent experience in Robotics, Mechatronics, Control, or Computer Engineering.
- Strong proficiency in C++ and Python, with experience in real-time or distributed robotics software.
- Solid understanding of control theory, kinematics, dynamics, and state estimation.
- Comfortable working close to hardware and integrating sensors, actuators, perception systems and real-time control.
- Analytical thinker able to translate theory into reliable, real-world robotic systems.
Nice to Have
- Experience with autonomy frameworks, navigation, or multi-sensor integration.
- Familiarity with real-time communication protocols (EtherCAT, CAN, Modbus) or PLCs.
- Exposure to simulation and validation tools for robotic systems.
- Knowledge of Machine Learning principles for perception or control.
Offices and Lab located in Oxford.
Hybrid working c.3 days in office
Salary £80,000 - £150,000 + benefits dependent on experience.
Ready to help build the next generation of intelligent robots? Apply now and join a fast-moving team shaping the future of applied robotics and AI.
:quality(80))
:quality(80))
:quality(80))