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Wayve in London is seeking a hands-on Full-Stack Software Engineer to join the Model Development Platform. You will design, build, and operate the applications and services that support the development and testing of autonomous driving models.
You will work across the full technology stack, own significant technical areas, mentor others, and contribute to architectural direction while delivering high-quality production code.
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!
As a Full-Stack Software Engineer within Wayve’s Model Development Platform, you will design, build, and operate the applications and services that support the development and testing of our autonomous driving models. These systems help researchers and engineers manage workflows spanning data, model training, experiment scheduling, evaluation, and on-road testing.
You will work across the full technology stack, creating intuitive web applications and the scalable backend services, APIs, and data models that power them. You will take ownership of significant technical areas, from understanding user needs and shaping solutions through to implementation, deployment, observability, and production support.
This is a hands-on engineering role with meaningful technical leadership responsibilities. You will influence technical decisions within the team, establish effective design patterns, contribute to architectural direction, and help engineers make sound technical choices. You will mentor less-experienced engineers through design discussions, code reviews, pairing, and day-to-day collaboration while continuing to write and deliver high-quality production code.
Design and deliver applications that make complex model-development workflows easier to manage—from experiment scheduling and evaluation to on-road testing. Work closely with users to understand their needs, shape pragmatic solutions, and own features from initial design through deployment and continuous improvement.
Build and operate production web applications, APIs, and backend services that perform reliably as usage and complexity grow. Apply sound security practices, identify bottlenecks and failure modes, and use testing, observability, and performance analysis to continuously improve the systems you own.
Lead the design of significant features and services, making thoughtful trade-offs between delivery speed, scalability, security, operational simplicity, and maintainability. Contribute to design reviews and establish reusable patterns that help the team build coherent, well-integrated systems.
At the Staff level, you will also guide broader architectural decisions, align approaches across teams, and lead complex, multi-quarter technical initiatives.
Remain actively involved in implementation while helping others make strong technical decisions. Mentor junior and mid-level engineers through design discussions, code reviews, pairing, and practical guidance.
Partner closely with Product Management, Research, Operations, Design, and other engineering teams to understand user needs and deliver effective solutions. Communicate technical decisions and trade-offs clearly, build alignment between stakeholders, and ensure platform capabilities work coherently across team and system boundaries.