Robotics Software Engineer

Job Description

As a Robotics Software Engineer, you’ll develop the software that connects high-level robot behaviours with reliable execution on physical robotic systems.This is a hands-on robotics software engineering role spanning control, planning and real-world robot operation, working across software and physical hardware.

RESPONSIBILITIES

• Own key components of the robot control and task execution stack, with responsibility for their performance and reliability on physical robots.
• Develop real-time robotics software in C++, including components for control, motion execution and task-level behaviour.
• Design and improve control and planning systems that enable robots to execute behaviours reliably and respond to changing conditions.
• Diagnose and resolve system-level issues at the intersection of control, planning, software and robot hardware.
• Work closely with the wider engineering team to integrate and validate control and task behaviours on physical robots.
• Build testing, instrumentation and health-monitoring tools to evaluate behaviour, diagnose failures and improve system reliability.

QUALIFICATIONS

The areas below reflect the broader scope of the role. We don't expect candidates to have deep experience in all of them, but we look for strong foundations, relevant strengths, and the ability to develop quickly in less familiar areas.

• Strong C++ programming skills are essential, with experience developing and debugging robotics, real-time, or systems software.
• Good foundations in robotics, with experience in robot control and/or high-level task planning and depth in at least one of these areas.
• Hands-on experience developing software for physical robotic systems.
• Familiarity with robotics software environments and tools such as ROS/ROS2, robot SDKs, real- time Linux, or simulation platforms.
• Strong systems-level debugging and problem-solving ability, with demonstrated ability to quickly develop proficiency in unfamiliar technical areas and apply new knowledge to engineering problems.
• Familiarity with learning-based control, reinforcement learning or learned robotic policies would be valuable but is not required.
• This role is full-time and on site in Cambridge. You must be willing to relocate to Cambridge if required.

BENEFITS

• Work at the frontier of physical AI, with direct access to advanced robot hardware and compute.
• Significant technical ownership in a small team, with the opportunity to make a direct impact.
• Competitive salary commensurate with experience.
• 25 working days of holiday per year, in addition to public holidays.
• Visa sponsorship