Full-Stack Software Engineer, Model Development Platform

Wayve; London (KY); On-site; USD 163,000 - 244,000; Full time

Job summary

Wayve is seeking a Full-Stack Software Engineer for its Model Development Platform to design, build, and operate applications that support development and testing of autonomous driving models.

The role spans frontend and backend engineering, with emphasis on production-grade design, observability, and strong mentorship. You will guide architectural decisions while delivering high-quality production code in a hands-on, collaborative environment.

Qualifications

• Full-stack experience designing, building, and operating production web apps across frontend and backend.
• Strong understanding of system design, API design, data modeling, and distributed systems.

Responsibilities

• Deliver end-to-end platform capabilities from design to deployment.
• Build scalable, secure, reliable web apps, APIs, and backend services.
• Shape system design and architectural direction across teams.
• Lead significant features, establish reusable patterns, and mentor others.
• Collaborate with Product Management, Research, and Operations to meet user needs.

Skills

Full-stack engineering

Production system design

End-to-end ownership

Technical leadership

Collaborative problem-solving

Job description

Full-Stack Software Engineer, Model Development Platform

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.

Challenges you will own

Deliver end-to-end platform capabilities

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 scalable, secure, reliable, and performant services

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.

Shape system design and technical direction

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.

Lead through hands-on contribution

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.

Cross-functional collaboration

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.

What we are looking for

Essential

• Full-stack engineering – Strong experience designing, building, and operating production web applications across frontend and backend systems. Experience with modern technologies such as React, TypeScript, Python, Flask, or FastAPI—or comparable frameworks and languages.
• Production system design – A strong understanding of system design, API design, data modeling, asynchronous workflows, automated testing, and distributed-system fundamentals. Experience building services that are scalable, secure, reliable, observable, and performant.
• End-to-end ownership – A track record of taking significant features or services from problem definition and technical design through implementation, deployment, and production operation.
• Technical leadership and mentorship – Experience leading technical discussions, influencing engineering decisions, establishing effective design patterns, and supporting other engineers through design reviews, code reviews, pairing, and practical guidance.
• Collaborative problem-solving – The ability to work effectively with engineering, product, research, and operational stakeholders, translating complex requirements into practical solutions and communicating technical decisions and trade-offs clearly.

Desirable

• Developer or ML Platforms – Experience building internal platforms, developer tools, workflow systems, or applications used by machine-learning researchers and engineers.
• ML Operations and Experimentation – Familiarity with model training, evaluation, experiment tracking, artifact management, or related model-development workflows.
• Data and Workflow Systems – Experience with data pipelines, distributed job orchestration, event-driven architectures, or large-scale compute platforms.
• Platform Observability – Experience defining service-level indicators and objectives and using metrics, logs, traces, and alerting to improve production reliability.
• Security and Data Governance – Knowledge of privacy, compliance, access control, auditability, and secure handling of sensitive or large-scale data.
• Domain Experience – Previous experience with autonomous systems, robotics, simulation, or another safety-critical domain.

If you are passionate about building thoughtful, high-quality software that helps researchers and engineers develop safe and intelligent autonomous driving technology, we would love to hear from you.