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← Wayve

Staff Robotics Engineer, Localisation

Wayve
Location
London
Posted
17 days ago
Department
AV Engineering
What they actually want (must-haves)
  • Deep practical expertise in localisation, state estimation or sensor fusion, with experience combining GNSS, IMU and wheel-odometry measurements.
  • Strong understanding of filtering-based estimation methods, including Kalman-family filters such as the EKF or UKF, and nonlinear optimisation approaches such as factor graphs.
  • Experience developing and operating localisation or state-estimation systems in production robotics, autonomous vehicles or comparable real-time systems.
  • Strong modern C++ software-engineering skills and proficiency in Python for prototyping, analysis, validation and test tooling.
  • Experience designing rigorous localisation validation and benchmarking, including accuracy metrics, uncertainty evaluation, ground-truth comparison, regression testing and failure analysis.
  • Evidence of hands-on technical leadership, including defining architecture, influencing technical roadmaps, mentoring engineers and collaborating effectively across multiple teams.
Nice to have
  • Experience incorporating camera-, LiDAR- or RADAR-based measurements into localisation and sensor-fusion systems, including visual, LiDAR or RADAR odometry.
  • Hands-on experience with nonlinear optimisation and robotics libraries such as GTSAM, Ceres or g2o.
  • Familiarity with automotive software-development practices and coding standards, including MISRA C++.
  • Experience deploying state-estimation software on embedded or resource-constrained platforms with real-time compute, memory and latency requirements.
  • Experience developing high-quality ground truth, benchmarks and validation evidence for localisation or other state-estimation systems.
What the job really is

As a Staff Robotics Engineer specializing in Localisation at Wayve, you will lead the development of onboard localisation capabilities for autonomous vehicles. Your role involves designing and implementing state-estimation systems that integrate various sensor data, ensuring robust performance in real-time applications, and providing technical leadership to cross-functional teams. You will also be responsible for validating and benchmarking these systems across diverse operating conditions.

Benefits
  • Hybrid working policy combining office and remote work.
Things to weigh
  • No salary listed.
  • Role requires deep technical expertise and leadership in a highly specialized field.
  • Emphasis on collaboration across multiple teams may require strong interpersonal skills.
Job score3/5
Benefits1/5
Freshness4/5
Career value5/5
Role clarity5/5
Pay transparency0/5

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