Key Notes
Sensor calibration, state estimation or closely related robotics expertise is essential for this production robotics position, alongside modern C++ and Python. The engineer turns calibration methods into observable, resource-efficient vehicle-runtime components and tests them through simulation, replay, benches and vehicles. The hybrid London role covers asynchronous sensor inputs, hardware-accelerated production platforms, profiling, memory and latency optimisation, diagnostics and fleet-level validation.
What You'll Work On
- Extend Wayve’s online calibration node with robust production software operating within the team’s established architecture and technical direction.
- Integrate calibration and estimation algorithms for continuous or on-demand execution on constrained, hardware-accelerated production vehicle platforms.
- Handle asynchronous sensor inputs, accelerator features and noisy calibration parameters across onboard state and runtime interfaces.
- Optimise compute, memory, storage and latency paths while retaining runtime correctness and practical debuggability throughout.
- Build simulation, replay, bench and vehicle tests with fleet-level metrics, diagnostics and observability across normal and failure scenarios.
Why This Role Matters
- Wayve’s online calibration node supplies calibration parameters to onboard runtime consumers; interface design and validation influence how consistently vehicle software uses sensor and state estimates.
- Wayve’s on-vehicle calibration must work within fixed compute, memory and latency budgets; profiling and runtime optimisation make the component resource-efficient without sacrificing correctness.
What They Are Looking For
- Domain: Strong practical sensor-calibration, state-estimation or related robotics expertise is essential.
- Technical: Filtering and estimation methods such as Kalman filters, Bayesian estimation, smoothing, robust estimation or factor graphs are essential.
- Technical: Modern C++ and Python for prototyping, analysis and test tooling are essential.
- Experience: Productionising algorithm-heavy robotics software on vehicles, robots, drones, aerospace or comparable edge platforms is essential.
- Technical: Asynchronous sensor data, hardware acceleration, constrained compute and memory optimisation, architecture, APIs and profiling are essential.
- Preferred: SLAM, localisation, sensor fusion, geometric vision, accelerated workloads, embedded Linux or fault-injection testing is desirable.