Staff Robotics Engineer

• Join the Online Calibration team to support scaling across Wayve’s autonomous vehicle fleet. • Turn calibration and estimation methods into reliable, observable, resource-efficient components of the on-vehicle runtime. • Run those components continuously on constrained, hardware-accelerated platforms. • Work across calibration, state estimation, robot software, hardware acceleration, and vehicle-platform teams. • Shape the architecture and roadmap for a foundational capability that directly affects vehicle performance, resilience, and safety. • Join the AV Engineering organisation in a staff-level role with end-to-end ownership. • Work hybrid from the London office, combining time in offices and workshops with working from home.

• Bring strong practical expertise in sensor calibration, state estimation, or a closely related robotics domain, covering cameras, LiDAR, IMUs, vehicle parameters, or multi-sensor systems. • Understand filtering and estimation methods deeply, such as Kalman-family filters, Bayesian estimation, smoothing, robust estimation, or factor-graph optimisation. • Bring strong modern C++ software engineering skills alongside Python proficiency for prototyping, analysis, and test tooling. • Bring experience productionising algorithm-heavy robotics software for vehicles, robots, drones, aerospace systems, or comparable edge platforms, including clear lifecycle, failure-handling, and recovery behaviour. • Work with asynchronous, high-throughput sensor data and hardware-accelerated pipelines, optimising constrained compute and memory without losing correctness or debuggability. • Bring strong software architecture, API design, testing, debugging, and performance-profiling skills. • Show evidence of end-to-end ownership and effective cross-functional collaboration. • Be based in London for this hybrid, full-time role.

• Bring experience in visual odometry, SLAM, localisation, sensor fusion, ego-motion estimation, or geometric computer vision. • Bring experience with GPU, DSP, NPU, or other hardware-accelerated robotics workloads, including zero-copy or shared-memory data paths and optimisation for production runtime constraints. • Bring experience developing and operating production software at a scaled robotics or autonomous-systems company. • Bring exposure to embedded Linux, edge-state management, rollback, automotive safety, or fault-injection testing. • Apply even if you do not meet every requirement, as Wayve encourages people passionate about self-driving cars to get in touch. • Let Wayve know if you need any accommodations or adjustments to take part fully in the interview process.

• Extend the capabilities of the existing online calibration node, delivering robust production software within the architecture and technical direction set by the team. • Adapt and integrate suitable calibration and estimation algorithms for continuous or on-demand onboard execution. • Develop reliable handling of 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 for constrained compute, memory, storage, and latency budgets without compromising correctness or debuggability. • Build comprehensive simulation, replay, bench, and on-vehicle tests. • Improve metrics, diagnostics, and fleet-level observability across both nominal and failure scenarios.

Wayve is one of the most exciting AI companies in the UK right now. They are tackling one of the hardest problems in technology, teaching machines to drive, and they are doing it with an approach that the rest of the industry is now converging towards. Backed by SoftBank, Microsoft, NVIDIA, Uber, Mercedes-Benz, Nissan, and Stellantis, Wayve has raised $2.8 billion in total funding and reached a valuation of $8.6 billion. With over 1,000 employees across London, Silicon Valley, Vancouver, Leonberg, Herzliya, and Tokyo, Wayve is scaling fast while keeping its London HQ at the centre. What stands out on Glassdoor (4.4/5 from 112+ reviews) is how consistently employees praise the culture, the calibre of colleagues, and the quality of the technical work. People describe it as some of the most interesting work of their careers. Wayve also offers an on-site chef, private healthcare, competitive pay with equity, and a genuine learning environment where you work alongside world-class ML researchers and engineers. That said, some reviews flag that the pace can be intense and that working across global time zones can stretch working hours. If you are an engineer, researcher, or operator who wants to work on genuinely frontier technology with real-world impact, and you thrive in fast-paced, mission-driven environments, Wayve is a rare opportunity.

• Shape the architecture and roadmap for a foundational capability across the vehicle fleet. • Own work end to end, from algorithm integration through to on-vehicle testing and fleet observability. • Work across calibration, state estimation, robot software, hardware acceleration, and vehicle-platform teams. • Affect vehicle performance, resilience, and safety directly. • Work hybrid, combining time in the London office and workshops with working from home. • Contribute to an inclusive environment that values diversity and new perspectives.

Founded in 2017, Wayve is the leading developer of Embodied AI technology. Its advanced AI software and foundation models let vehicles perceive, understand, and navigate any complex environment, improving the usability and safety of automated driving systems. Wayve builds intelligent, mapless, hardware-agnostic AI products for automakers, aiming to accelerate the transition from assisted to automated driving and create autonomy that propels the world forward.