IT & Software

Staff Robotics Engineer

wayve

London · Greater London · United Kingdom

Overview

As a Robotics Software Engineer on the Online Calibration team, you will scale calibration and estimation capabilities across the Wayve fleet. You will transform algorithms into robust, observable in-vehicle components designed for constrained hardware. You’ll work across calibration, state estimation, and automotive software to shape a core capability that impacts vehicle performance and safety. This role combines hands-on engineering with architecture and roadmap influence in a fast-paced, collaborative environment. Your work will connect fleet-scale needs with on-vehicle runtime, delivering measurable impact.

Pay / Benefits
  • hybrid work policy
  • office locations in London/UK or Sunnyvale/US
  • inclusive interview process
  • DEI commitments
Responsibilities
  • Extend and productionize the online calibration node within the team’s architectural direction.
  • Adapt and integrate calibration and estimation algorithms for onboard execution.
  • Handle asynchronous sensor data and noisy calibration parameters reliably.
  • Improve validation, interfaces, and fleet-facing integration with logging and runtime consumers.
  • Profile and optimize for constrained compute, memory, and latency without sacrificing correctness.
  • Build tests and simulations (bench, replay, on-vehicle) and improve fleet observability across scenarios.
Key requirements
  • Strong practical expertise in sensor calibration and state estimation (cameras, LiDAR, IMUs, multi-sensor systems).
  • Expertise in filtering/estimation (Kalman-family, Bayesian, smoothing, robust estimation, factor-graph).
  • Modern C++ and Python for prototyping and tooling.
  • Experience productionising algorithm-heavy robotics software for vehicles or similar edge platforms.
  • Experience with asynchronous high-throughput sensor data and hardware-accelerated pipelines.
  • Strong software architecture, API design, testing, debugging, and performance profiling with end-to-end ownership.
  • Cross-functional collaboration
  • Problem solving
  • Attention to reliability and maintainability
  • Sensor calibration
  • State estimation
  • Kalman filters / Bayesian methods

Reference: WJ-747_30140443

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