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Wayve is building an AI platform for autonomous driving that enables vehicles to learn directly from real-world experience. The company is seeking a Staff Robotics Engineer to join the Online Calibration team and support scaling across the autonomous vehicle fleet.
In this role, you will develop robust production software for online calibration that operates continuously on constrained, hardware-accelerated platforms. You'll work with asynchronous sensor data, accelerator-produced features, and noisy, time-varying calibration parameters, balancing correctness, debuggability, and runtime efficiency.
Key responsibilities include:
- Extending the existing online calibration node with robust production software aligned with the team's architecture and technical direction
- Adapting and integrating calibration and estimation algorithms for continuous or on-demand onboard execution
- Developing reliable handling for asynchronous sensor data, accelerator-produced features, and noisy calibration parameters
- Strengthening validation, gating, persistence, and interfaces between the calibration node, onboard state, runtime consumers, logging, and fleet-facing systems
- Profiling and optimizing critical paths within compute, memory, storage, and latency constraints without compromising correctness or debuggability
- Building comprehensive simulation, replay, bench, and on-vehicle tests, and improving metrics, diagnostics, and fleet-level observability across nominal and failure scenarios
You'll work across calibration, state estimation, robot software, hardware acceleration, and vehicle-platform teams, helping shape the architecture and roadmap for a foundational capability that directly affects vehicle performance, resilience, and safety.
The role operates on a hybrid basis with core hours in the Sunnyvale office, combining in-person collaboration with focused remote work. You'll have the opportunity to work hands-on in vehicle workshops and labs.
REQUIREMENTS:
- Strong practical expertise in sensor calibration, state estimation, or closely related robotics domain, including calibration of cameras, LiDAR, IMUs, vehicle parameters, or multi-sensor systems
- Strong understanding of filtering and estimation methods, including Kalman-family filters, Bayesian estimation, smoothing, robust estimation, or factor-graph optimization
- Strong modern C++ software-engineering skills and proficiency in Python for prototyping, analysis, and test tooling
- Experience productionizing algorithm-heavy robotics software for vehicles, robots, drones, aerospace systems, or comparable edge platforms, including clear lifecycle, failure-handling, and recovery behavior
- Experience with asynchronous, high-throughput sensor data and hardware-accelerated pipelines, with ability to optimize constrained compute and memory systems without losing correctness or debuggability
- Strong software architecture, API design, testing, debugging, and performance-profiling skills, alongside end-to-end ownership and effective cross-functional collaboration
Desirable experience includes: visual odometry, SLAM, localization, sensor fusion, ego-motion estimation, or geometric computer vision; GPU, DSP, NPU, or other hardware-accelerated robotics workloads; production software at scale in robotics or autonomous-systems companies; embedded Linux, edge-state management, rollback, automotive safety, or fault-injection testing.
