Wayve is seeking a Senior Localisation Engineer to lead the technical development of onboard localisation for autonomous vehicles. The role involves designing, productionising and deploying state-estimation systems fusing GNSS, IMU and wheel odometry on real-time vehicle platforms. Candidates need deep expertise in localisation, sensor fusion, modern C++ and Python, plus experience with rigorous validation and benchmarking.
Key Highlights
Senior individual-contributor role shaping localisation architecture and technical roadmap
Develop and productionise state-estimation systems combining GNSS, IMU and wheel odometry
Hands-on technical leadership and mentorship across robotics, calibration, controls and vehicle-platform teams
Own validation, benchmarking and deployment on real-time vehicle platforms
Key Responsibilities
Define and evolve the technical architecture and roadmap for Wayve's onboard localisation capability, aligned with vehicle programmes and product requirements
Lead the development of robust state-estimation systems that fuse GNSS, IMU and wheel-odometry signals, with scope to incorporate camera-, RADAR- and LiDAR-based measurements
Take localisation solutions from algorithm design and prototyping through production implementation and deployment on real-time vehicle platforms, including robust fault handling and degraded-mode behaviour
Develop rigorous validation and benchmarking capabilities, including representative datasets, ground-truth comparisons, performance metrics and regression testing across diverse vehicles, environments and operating conditions
Provide hands-on technical leadership and mentorship, working across robotics, calibration, controls, sensors and vehicle-platform teams to drive integration and resolve complex system-level issues
Technical Skills Required
Localisation and state estimation
C++
Python
Discover our full range of relocation jobs with comprehensive support packages to help you relocate and settle in your new location.
Benefits & Perks
Salaries benchmarked against the market annually
Meaningful equity
Relocation support and visa sponsorship where applicable
Hybrid working with core hours and hands-on workshops and labs
Learning and development budgets
Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension, wellbeing support and team socials
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
Familiarity with relevant robotics tooling and libraries such as ROS, Eigen, OpenCV, PCL or CUDA
MS or PhD in Robotics, Computer Science, Electrical Engineering or a related field, or equivalent practical experience
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.
Want the full job description?
Read the complete details on LinkedIn, the original posting.
Continue on LinkedIn
This is a short excerpt. All rights to the full description belong to its original publisher.
