Staff Robotics Engineer, Localisation

Overview

In this senior, individual-contributor role, you will shape Wayve’s onboard localisation architecture and lead production-ready state-estimation systems that fuse GNSS, IMU and wheel odometry. You’ll collaborate across robotics, calibration, controls, sensors and embedded software teams to ensure robust, real-time localisation. You’ll mentor engineers and drive the state-estimation stack from prototype to deployment, enabling vehicle platforms to operate reliably across environments.

Pay / Benefits

• hybrid working policy

Responsibilities

• Define and evolve the onboard localisation architecture and roadmap aligned with vehicle programmes and product requirements
• Lead development of robust state-estimation systems that fuse GNSS, IMU and wheel-odometry signals with potential camera-, RADAR- and LiDAR-based measurements
• Transition localisation solutions from design to production on real-time vehicle platforms, including fault handling and degraded-mode behavior
• Develop rigorous validation and benchmarking capabilities with datasets, ground-truth comparisons, metrics and regression testing
• Provide hands-on leadership and mentorship across robotics, calibration, controls, sensors and vehicle-platform teams to drive integration and resolve system-level issues

Key requirements

• Deep practical expertise in localisation, state estimation or sensor fusion with GNSS, IMU and wheel-odometry
• Strong filtering-based estimation methods knowledge (Kalman-family EKF/UKF) and nonlinear optimisation (factor graphs)
• Experience deploying localisation/state-estimation systems in production robotics or autonomous-vehicle contexts
• Strong C++ software-engineering skills and Python for prototyping and tooling
• Proven ability to design validation/benchmarking processes with accuracy metrics, uncertainty evaluation, ground-truth comparisons and regression testing
• Hands-on technical leadership including architecture definition, roadmap influence, and cross-team collaboration

• Technical leadership
• Cross-functional collaboration
• Mentoring and coaching
• Camera-, LiDAR- or RADAR-based measurements integration into localisation
• Nonlinear optimisation libraries (GTSAM, Ceres, g2o)
• Automotive software practices and MISRA C++ familiarity

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