or apply directly on Wayve's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 13 days Wayve's roles stay open a median of 40 days
- Reposted
- No
- Salary listed
- No 40% of Wayve's roles list one
- Ghost-job risk at Wayve
- high 77 stale, 1 reposted of 169 open
- Hiring momentum
- 201 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Wayve's own greenhouse board since 2026-08-03. Full hiring picture for Wayve.
About this role
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
- 1/5
- freshness
- 4/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Wayve as an employer.
What you need
- 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 you get
- Hybrid working policy combining office and remote work.
Worth weighing
- 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.
Summarised from Wayve's posting. Read the full original.
Listed by Wayve on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
More roles at Wayve
- Engineering Manager, Runtime Platform, Robot SoftwareLondon
- Product Manager, AI DriverGermany
- Data Engineer, Security AnalyticsSunnyvale
- Programme Manager, Supply ChainLondon
- GRC Assurance ManagerLondon
- Head of MarketingLondon
- Principal Machine Learning Engineer, Geometric VisionSunnyvale
- Senior Machine Learning Engineer, Vision ModelsSunnyvale