Robotics Software Engineer - Onboard Calibration & Estimation

Wayve; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Job summary

Wayve is seeking a Robotics Software Engineer for the Online Calibration team in London/UK (hybrid). You will scale calibration and estimation across our autonomous vehicle fleet, turning methods into reliable, observable components that run on constrained hardware.

You will collaborate across calibration, state estimation, robot software and hardware acceleration to shape a foundational capability that impacts vehicle performance, resilience and safety, while enjoying a hybrid work model.

Qualifications

• Strong practical expertise in sensor calibration and state estimation
• Strong understanding of Kalman filters and Bayesian estimation
• C++ and Python software engineering skills
• Productionising robotics software for vehicles/edge platforms
• Experience with asynchronous, high-throughput sensor data
• Strong software architecture, testing and debugging skills

Responsibilities

• Extend the capabilities of the online calibration node with robust production software
• Adapt and integrate calibration and estimation algorithms for onboard execution
• Handle asynchronous sensor data and noisy calibration parameters reliably
• Strengthen validation, interfaces, and fleet-facing systems
• Profile and optimise compute, memory, and latency budgets for constrained hardware
• Build simulation, replay, bench and on-vehicle tests and improve diagnostics

Skills

Sensor calibration

State estimation

C++

Python

Robotics software production

Asynchronous data

Tools

ROS

Job description

Wayve is seeking a Robotics Software Engineer for the Online Calibration team in London/UK (hybrid). You will scale calibration and estimation across our autonomous vehicle fleet, turning methods into reliable, observable components that run on constrained hardware.

You will collaborate across calibration, state estimation, robot software and hardware acceleration to shape a foundational capability that impacts vehicle performance, resilience and safety, while enjoying a hybrid work model.