1 day ago
London, United KingdomStaff+
Responsibilities
- Define and evolve the architecture and technical roadmap for Wayve’s onboard localisation capability.
- Develop state-estimation systems that fuse GNSS, IMU and wheel-odometry measurements, with potential integration of camera, RADAR and LiDAR data.
- Take localisation algorithms from design and prototyping through production implementation and deployment on real-time vehicle platforms.
- Implement robust fault handling and degraded-mode behaviour for onboard localisation.
- Develop validation and benchmarking capabilities using representative datasets, ground-truth comparisons, performance metrics, regression testing and failure analysis.
- Provide hands-on technical leadership and mentorship across robotics, calibration, controls, sensors and vehicle-platform teams.
- Drive integration and resolve complex system-level issues across multiple engineering teams.
Requirements
- Deep practical expertise in localisation, state estimation or sensor fusion, including GNSS, IMU and wheel-odometry measurements.
- Strong understanding of Kalman-family filters such as EKF and UKF, and nonlinear optimisation approaches such as factor graphs.
- Experience developing and operating localisation or state-estimation systems in production robotics, autonomous vehicles or comparable real-time systems.
- Strong modern C++ software-engineering skills and proficiency in Python for prototyping, analysis, validation and test tooling.
- Experience designing rigorous localisation validation and benchmarking, including accuracy metrics, uncertainty evaluation, ground-truth comparison, regression testing and failure analysis.
- Evidence of technical leadership through architecture definition, roadmap influence, engineer mentorship and cross-team collaboration.
- Experience incorporating camera-, LiDAR- or RADAR-based measurements, including visual, LiDAR or RADAR odometry, is desirable.
- Experience with nonlinear optimisation and robotics libraries such as GTSAM, Ceres or g2o is desirable.
- Familiarity with automotive software-development practices and MISRA C++ is desirable.
- Experience deploying state-estimation software on embedded or resource-constrained real-time platforms is desirable.
- Experience developing ground truth, benchmarks and validation evidence for localisation or state-estimation systems is desirable.
- Familiarity with robotics tooling and libraries such as ROS, Eigen, OpenCV, PCL or CUDA is desirable.
- An MS or PhD in Robotics, Computer Science, Electrical Engineering or a related field, or equivalent practical experience, is desirable.
Benefits
- Full-time role based in Wayve’s London, UK office.
- Hybrid working policy combining time in offices and workshops with time working from home.
- Inclusive interview accommodations and adjustments are available upon request.
