Description
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future.
You will turn calibration and estimation methods into reliable, observable, and resource-efficient components of the on-vehicle runtime.
Responsibilities:
- Extend the existing online calibration node, delivering robust production software within the team’s architecture and technical direction.
- Adapt and integrate calibration and estimation algorithms for continuous or on-demand onboard execution.
- Develop reliable handling for asynchronous sensor data, accelerator-produced features, and noisy, time-varying calibration parameters.
- Strengthen validation, gating, persistence, and interfaces between the calibration node, onboard state, runtime consumers, logging, and fleet-facing systems.
- Profile and optimise critical paths within compute, memory, storage, and latency constraints without compromising correctness or debuggability.
- Build comprehensive simulation, replay, bench, and on-vehicle tests, and improve metrics, diagnostics, and fleet-level observability across nominal and failure scenarios.
Requirements:
- Strong practical expertise in sensor calibration, state estimation, or a closely related robotics domain.
- Strong understanding of filtering and estimation methods, including Kalman-family filters, Bayesian estimation, smoothing, robust estimation, or factor-graph optimisation.
- Strong modern C++ software-engineering skills and proficiency in Python for prototyping, analysis, and test tooling.
- Experience productionising algorithm-heavy robotics software for vehicles, robots, drones, aerospace systems, or comparable edge platforms.
- Experience with asynchronous, high-throughput sensor data and hardware-accelerated pipelines.
Benefits:
- Salaries benchmarked against the market annually
- Meaningful equity, sharing in the ownership and long-term success of Wayve
- Relocation support and visa sponsorship where applicable
- Hybrid working, core hours, and the chance to work hands-on in vehicle workshops and labs
- Learning and development budgets with support for training, conferences, and growth
- Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials, and more
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