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Wayve is building an end-to-end AI platform for autonomous driving that enables vehicles to learn directly from real-world experience. The company is pioneering a mapless, hardware-agnostic approach that integrates with global OEM partners.
You will lead the technical development of Wayve's onboard localization capability as a senior individual contributor. This is a hands-on role with responsibility for shaping the localization architecture and technical roadmap while remaining deeply involved in algorithm development, implementation, validation, and onboard deployment.
Your day-to-day responsibilities include:
- Define and evolve the technical architecture and roadmap for onboard localization, aligned with vehicle programs and product requirements
- Lead development of robust state-estimation systems that fuse GNSS, IMU, and wheel-odometry signals, with scope to incorporate camera-, RADAR-, and LiDAR-based measurements
- Take localization solutions from algorithm design and prototyping through production implementation and deployment on real-time vehicle platforms, including robust fault handling and degraded-mode behavior
- Develop rigorous validation and benchmarking capabilities, including representative datasets, ground-truth comparisons, performance metrics, and regression testing across diverse vehicles, environments, and operating conditions
- Provide hands-on technical leadership and mentorship, working across robotics, calibration, controls, sensors, and vehicle-platform teams to drive integration and resolve complex system-level issues
You will work across robotics, calibration, controls, sensor, vehicle-platform, and embedded-software teams to ensure localization is robust, observable, and suitable for real-time production use. You will also provide technical leadership and mentorship to engineers working across localization and the broader state-estimation stack.
Wayve operates a hybrid working model combining in-person collaboration in dedicated office spaces with focused remote work. Main hubs include London, Sunnyvale, Yokohama, Herzliya, Vancouver, and Leonberg.
REQUIREMENTS:
Essential:
- Deep practical expertise in localization, state estimation, or sensor fusion, with experience combining GNSS, IMU, and wheel-odometry measurements
- Strong understanding of filtering-based estimation methods, including Kalman-family filters (EKF, UKF) and nonlinear optimization approaches such as factor graphs
- Experience developing and operating localization 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 localization validation and benchmarking, including accuracy metrics, uncertainty evaluation, ground-truth comparison, regression testing, and failure analysis
- Evidence of hands-on technical leadership, including defining architecture, influencing technical roadmaps, mentoring engineers, and collaborating effectively across multiple teams
Desirable:
- Experience incorporating camera-, LiDAR-, or RADAR-based measurements into localization and sensor-fusion systems, including visual, LiDAR, or RADAR odometry
- Hands-on experience with nonlinear optimization and robotics libraries such as GTSAM, Ceres, or g2o
- Familiarity with automotive software-development practices and coding standards, including MISRA C++
- Experience deploying state-estimation software on embedded or resource-constrained platforms with real-time compute, memory, and latency requirements
- Experience developing high-quality ground truth, benchmarks, and validation evidence for localization or other state-estimation systems
- Familiarity with robotics tooling and libraries such as ROS, Eigen, OpenCV, PCL, or CUDA
- MS or PhD in Robotics, Computer Science, Electrical Engineering, or a related field, or equivalent practical experience
