Staff Robotics Engineer, 3D Sensing

Wayve; London (KY); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Wayve is seeking a Staff Robotics Engineer, 3D Sensing to lead LiDAR and cross-sensor 3D sensing development. You will own calibration, synchronization and alignment of LiDARs with cameras to enable accurate 3D data for perception and ground-truth generation.

This senior individual-contributor role shapes architecture and roadmap for 3D sensing while actively contributing to algorithms, evaluation and deployment across diverse vehicles and environments. Hybrid London or Sunnyvale office.

Qualifications

• Significant robotics or autonomous-driving experience with LiDAR, cameras and 3D data.
• Expertise in LiDAR-to-camera calibration and cross-sensor registration.
• Strong understanding of geometry, state estimation and optimisation techniques.
• Experience with timing effects, synchronization and motion compensation.
• Production-grade software engineering in C++/Python and deployment.

Responsibilities

• Define architecture and roadmap for 3D sensing capabilities.
• Lead calibration and registration methods for LiDAR and cameras.
• Develop temporal alignment and motion compensation methods.
• Establish evaluation methodologies and productionise 3D sensing systems.
• Provide technical leadership and mentor other engineers.

Skills

LiDAR calibration

3D sensing

State estimation

C++/Python

Sensor timing

Technical leadership

Tools

GTSAM

Ceres Solver

g2o

Python

C++

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 role

Wayve is seeking a Staff Robotics Engineer, 3D Sensing to lead the technical development of our LiDAR and cross-sensor 3D sensing capabilities. You will own the systems used to calibrate, synchronise and align LiDARs with cameras and other vehicle sensors, enabling accurate and reliable 3D data for perception, reconstruction and ground-truth generation.

This is a senior individual-contributor role with responsibility for shaping the architecture and technical roadmap for 3D sensing, while remaining deeply involved in algorithm development, implementation, evaluation and deployment. You will solve challenging problems arising from real sensor systems—including imperfect time synchronisation, rolling-shutter cameras and LiDAR sweep patterns—and develop robust methods that operate across diverse vehicles, environments and operating conditions. You will collaborate broadly across Wayve and provide technical leadership and mentorship across the 3D sensing stack.

Key responsibilities:

• Define and evolve the technical architecture and roadmap for Wayve’s LiDAR and cross-sensor 3D sensing capabilities, aligned with product and vehicle-programme requirements.

• Lead the development of target-based and targetless LiDAR calibration and registration methods, including LiDAR-to-camera alignment using geometric and learned approaches.

• Develop robust temporal alignment and motion compensation methods using techniques such as LiDAR odometry, nonlinear least-squares optimisation and factor graphs.

• Establish evaluation methodologies and productionise reliable, scalable 3D sensing systems that operate across diverse vehicles, environments and sensor configurations.

• Work with engineering and research teams to deliver end-to-end 3D sensing capabilities, while providing technical leadership and mentorship to other engineers.

About you

In order to set you up for success as a Staff Robotics Engineer, 3D Sensing at Wayve, we’re looking for the following skills and experience:

Essential

• Significant experience developing robotics or autonomous-driving systems involving LiDAR, cameras and 3D sensor data.

• Strong experience with target-based or targetless sensor calibration and registration, including LiDAR-to-camera alignment.

• Strong understanding of 3D geometry, state estimation and optimisation techniques, including nonlinear least-squares methods or factor graphs.

• Experience accounting for sensor timing and motion effects, such as time synchronisation, LiDAR sweep distortion, rolling-shutter cameras and motion compensation.

• Strong software-engineering skills in C++ and/or Python, with experience taking robotics algorithms from prototype through evaluation and production deployment.

• Experience defining evaluation methodologies, datasets and metrics for assessing calibration, registration and 3D sensing quality across real-world conditions.

• Demonstrated technical leadership, including setting technical direction, solving ambiguous cross-functional problems and mentoring other engineers.

Desirable

• Experience with LiDAR odometry, SLAM or mapping systems, including LiDAR motion compensation and deskewing.

• Experience with metric-depth foundation models and their application to calibration, registration or 3D reconstruction.

• Familiarity with learned feature correspondences, cross-modal registration, Gaussian splatting or other emerging 3D representations.

• Experience handling dynamic scenes using object detection, motion segmentation or tracking methods.

• Practical experience with optimisation libraries such as GTSAM, Ceres Solver or g2o.

This is a full-time role based in our office in London, UK or Sunnyvale, US. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.

A quick, honest note before you apply.

Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.

If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.