Staff Robotics Engineer

About us

Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.

Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.

At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.

Make Wayve the experience that defines your career!

The role

Wayve is seeking a Robotics Software Engineer for our Online Calibration team to support scaling across our autonomous vehicle fleet. You will turn calibration and estimation methods into reliable, observable and resource-efficient components of the on-vehicle runtime, operating continuously on constrained, hardware-accelerated platforms. Working across calibration, state estimation, robot software, hardware acceleration and vehicle-platform teams, you will shape the architecture and roadmap for a foundational capability that directly affects vehicle performance, resilience and safety.

Key responsibilities:

• 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, and improve metrics, diagnostics and fleet-level observability across nominal and failure scenarios.

About you

In order to set you up for success as a Robotics Engineer at Wayve, we’re looking for the following skills and experience.

Essential

• Strong practical expertise in sensor calibration, state estimation or a closely related robotics domain, including calibration of cameras, LiDAR, IMUs, vehicle parameters or multi-sensor systems.
• Strong understanding of filtering and estimation methods, such as 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, including clear lifecycle, failure-handling and recovery behaviour.
• Experience with asynchronous, high-throughput sensor data and hardware-accelerated pipelines, with the ability to optimise constrained compute and memory systems without losing correctness or debuggability.
• Strong software architecture, API design, testing, debugging and performance-profiling skills, with evidence of end-to-end ownership and effective cross-functional collaboration.

Desirable

• Experience in visual odometry, SLAM, localisation, sensor fusion, ego-motion estimation or geometric computer vision.
• 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.
• Experience developing and operating production software in a scaled robotics or autonomous-systems company, ideally involving embedded Linux, edge-state management, rollback, automotive safety or fault-injection testing.

This is a full-time role based in our office in either in London/UK or Sunnyvale/US. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.

Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know.
We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.

At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law.

For more information visit Careers at Wayve.

To learn more about what drives us, visit Values at Wayve

For US candidates only, please visit E-Verify Notice and Participation and Right to Work

DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.