Staff Robotics Engineer, Localisation

Location: Hybrid role based in the London, UK office, combining office and workshop work with time working from home.

Company

hirify.global develops autonomous vehicle technology and onboard robotics systems.

What you will do

• Define and evolve the architecture and technical roadmap for onboard localisation.
• Develop state-estimation systems that fuse GNSS, IMU and wheel-odometry signals, with potential integration of camera, RADAR and LiDAR measurements.
• Take localisation algorithms from prototyping through production implementation and deployment on real-time vehicle platforms.
• Implement robust fault handling and degraded-mode behaviour across diverse vehicles and operating conditions.
• Build validation and benchmarking capabilities using representative datasets, ground-truth comparisons, performance metrics and regression testing.
• Provide hands-on technical leadership and mentorship while resolving system-level issues across robotics, calibration, controls, sensor and vehicle-platform teams.

Requirements

• Deep practical expertise in localisation, state estimation or sensor fusion, including GNSS, IMU and wheel-odometry measurements.
• Strong knowledge of Kalman-family filters such as EKF and UKF, as well as nonlinear optimisation approaches including factor graphs.
• Experience operating localisation or state-estimation systems in production robotics, autonomous vehicles or comparable real-time systems.
• Strong modern C++ engineering skills and proficiency in Python for prototyping, analysis, validation and testing.
• Experience with localisation validation and benchmarking, including accuracy metrics, uncertainty evaluation, ground-truth comparison, regression testing and failure analysis.
• Demonstrated technical leadership through architecture definition, roadmap influence, mentorship and cross-team collaboration.

Nice to have

• Experience with camera, LiDAR or RADAR measurements, visual odometry, LiDAR odometry or RADAR odometry.
• Experience with GTSAM, Ceres, g2o, ROS, Eigen, OpenCV, PCL or CUDA.
• Familiarity with automotive software practices and MISRA C++.
• Experience deploying state-estimation software on embedded or resource-constrained real-time platforms.
• MS or PhD in Robotics, Computer Science, Electrical Engineering or a related field, or equivalent practical experience.

Culture & Benefits

• Hybrid working policy combining time in offices and workshops with time working from home.
• Regular collaboration across robotics, calibration, controls, sensors, vehicle-platform and embedded-software teams.
• Work focused on real-time autonomous vehicle systems, production reliability and technical learning.

Hiring process

• The CV is used to pre-fill as much of the application form as possible.