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Wayve

Robot type
Autonomous Vehicle
Location
SunnyvaleCaliforniaUSA
Job type
Hardware
Posted
Jul 19, 2026
Full-time

Principal Engineer, 3D Reconstruction

Job description

Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.

Job responsibilities

  • 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
  • Mentor and provide technical leadership to engineers contributing to the 3D reconstruction effort.
  • Communicate technical tradeoffs, limitations, and progress clearly to engineering leaders and cross-functional stakeholders.

Job requirements

  • 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.
  • Comfortable defining technical strategy, roadmaps, and milestones in ambiguous problem spaces
  • Strong cross-functional technical leadership in ambiguous, multi-team environments.
  • Clear communication of algorithmic tradeoffs, limitations, confidence, and failure modes to technical and cross functional stakeholders.

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