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Principal Robotics Engineer, 3D Reconstruction

wayve • United Kingdom
Visa Sponsorship Relocation
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Lead the technical architecture and roadmap for Wayve's offline 3D reconstruction system to build high-quality world geometry from sensor data. Drive the development of MVPs and production platforms while mentoring engineers and aligning cross-functional teams on technical standards. Requires deep expertise in SLAM, 3D reconstruction, and state estimation with strong C++ and Python software engineering skills.

Key Highlights
Principal-level technical leadership for offline 3D reconstruction capabilities
Bridging the gap between AI models and vehicle platforms via high-quality 3D ground-truth outputs
Defining technical strategy and roadmaps in ambiguous problem spaces
Key Responsibilities
Define the technical architecture and roadmap for Wayve’s offline 3D reconstruction system.
Lead the development of MVPs to unblock high-priority internal use cases and guide the transition to a robust internal platform.
Establish core technical interfaces, output representations, and tools to support internal customers.
Partner with calibration, sensor fusion, perception, data, infrastructure, and validation teams to align requirements and ownership.
Set technical standards for reconstruction quality, failure analysis, uncertainty measurement, and dataset suitability.
Mentor and provide technical leadership to engineers contributing to the 3D reconstruction effort.
Communicate technical tradeoffs, limitations, and progress to engineering leaders and cross-functional stakeholders.
Technical Skills Required
SLAM 3D Reconstruction C++
Benefits & Perks
Market benchmarked salaries
Equity
Relocation support
Visa sponsorship
Hybrid working
Learning and development budgets
Health insurance
Dental insurance
Enhanced maternity and paternity leave
Retirement or pension
Nice to Have
MS/PhD in Robotics, Computer Science, State Estimation, Sensor Fusion, SLAM, 3D Reconstruction, or related field
Experience with autonomous vehicles, robotics, mapping, or ground-truth data pipelines in production
Experience with GNSS/INS fusion, sensor based odometry, or high-accuracy position estimation
Experience with nonlinear optimization techniques (pose graph optimization, factor graphs, bundle adjustment, ICP)
Experience applying modern machine learning approaches to 3D reconstruction or scene understanding
Familiarity with ROS, PCL, OpenCV, CUDA
Familiarity with ML data enrichment, autolabelling, or validation-data generation
Experience designing quality metrics and credibility arguments for reconstructed data
Experience leading small expert technical teams from concept to production

Job Description

Before the detail, here's the challenge you'd help us solve.We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.Here’s what this particular role covers.The Robotics team is responsible for bridging the gap from our model to our vehicle platforms, in order to let the model focus on making driving decisions. We aim to provide high quality data to the model for making such decisions, whilst abstracting away platform-specific aspects.
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