Overview
As Staff Robotics Engineer, 3D Sensing, you shape the architecture and roadmap for Wayve’s LiDAR and cross-sensor sensing. You own calibration, synchronization, and alignment across LiDARs, cameras and other sensors, enabling robust 3D perception and ground-truth generation. You lead algorithm development, evaluation and production deployment while guiding others in the 3D sensing stack. You tackle real sensor-system challenges across diverse vehicles and environments, collaborating broadly to drive impactful sensing capabilities.
Responsibilities
- Define and evolve the architecture and roadmap for LiDAR and cross-sensor 3D sensing aligned with product and vehicle requirements
- Lead target-based and targetless LiDAR calibration and registration, including LiDAR-to-camera alignment using geometric and learned approaches
- Develop robust temporal alignment and motion compensation methods using LiDAR odometry, nonlinear least-squares optimisation and factor graphs
- Establish evaluation methodologies and productionise scalable 3D sensing systems across diverse vehicles, environments and sensor configurations
- Collaborate with engineering and research teams to deliver end-to-end 3D sensing capabilities and provide technical leadership and mentorship
Key requirements
- Significant experience with robotics or autonomous-driving systems involving LiDAR, cameras and 3D sensor data
- Strong experience with sensor calibration and registration, including LiDAR-to-camera alignment
- Solid understanding of 3D geometry, state estimation and optimisation (including nonlinear least-squares or factor graphs)
- Experience handling sensor timing and motion effects (time synchronization, LiDAR sweep distortion, rolling-shutter cameras)
- Strong software engineering skills in C++ and/or Python, with deployment experience
- Experience defining evaluation methodologies and datasets for calibration, registration and 3D sensing quality
- Demonstrated technical leadership and mentoring abilities
- Technical leadership
- Cross-functional collaboration
- Problem solving in ambiguous situations
- LiDAR odometry
- SLAM or mapping systems
- Metric-depth foundation models (calibration/3D reconstruction)
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