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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.
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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.
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Location
This is a full-time role based in our office in either 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.
Commitment to Diversity and Inclusion
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.
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