Staff Robotics Engineer

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

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