Principle Engineer, 3D Reconstruction

Job summary

Responsibilities

Leading the development of an offline 3D reconstruction capability that builds high-quality 3D world geometry from vehicle sensor data in dynamic scenes. The system will draw on localization and mapping, state estimation, and sensor fusion to produce offline 3D geometric reconstructions and…

• Define the technical architecture and roadmap for Wayve’s offline 3D reconstruction system.
• Lead the development of MVPs that unblock high-priority internal use cases, while guiding the transition to a robust internal platform.
• Establish the core technical interfaces, output representations, and tools needed to support internal customers.
• Partner with calibration, sensor fusion, perception, data, infrastructure, and validation teams to align requirements, resources and ownership boundaries.
• Set technical standards for reconstruction quality, failure analysis, uncertainty measurement, and dataset suitability and execute strategies to validate them

What they're looking for

• Deep technical expertise in SLAM, 3D reconstruction, mapping, state estimation, or closely related robotics/perception fields.
• Strong hands-on experience with lidar-based reconstruction, point-cloud registration, pose estimation, and real-world robotics sensor data.
• Experience building offline reconstruction, mapping, or perception systems that operate on large volumes of sensor data.
• Strong software engineering skills in C++, Python, or similar robotics/perception environments.
• Experience taking research or prototype algorithms into reliable production systems.

Tech stack

• C++
• Python
• CUDA