Full-Stack Software Engineer (Model Development Platform)

Wayve; United States; On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Private healthcare

Paid time off

Mental health resources

Community and socials

Competitive compensation

Learning and development

Job summary

Wayve is seeking a Staff-level Full-Stack Software Engineer to design, build, and operate applications and services that support autonomous driving model development. You will own significant features across data, training, scheduling, evaluation, and on-road testing workflows, collaborating with researchers and engineers to deliver scalable, secure platforms.

You will mentor engineers, shape system design, and drive architectural direction while delivering production-ready code with

Qualifications

• Collaborative problem-solving with cross-functional teams to translate requirements into practical solutions.
• Full-stack design and development of production web applications and backend services across frontend and backend stacks.
• A track record of taking features from design through deployment and production operation.

Responsibilities

• Design, build, and operate applications and services that support model development workflows.
• Lead technical discussions, establish design patterns, and guide other engineers.

Skills

Full-stack engineering

React

TypeScript

Python

API design

Tools

React

TypeScript

Python

Flask

FastAPI

Job description

• 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
• 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

Benefits

• Private healthcare: Choose our optional health insurance for comprehensive coverage for you and your family.
• Paid time off: Paid vacation plus public holidays and additional leave programs, ensuring you have time to unwind.
• Mental health resources: Through Spill, you can access therapy and mental health support.
• Community and socials: Join clubs or attend team socials to connect over hobbies, sports, or just for fun.
• Competitive compensation: Our compensation package includes cash and equity, making you a true partner in our success.
• Learning and development: Budgets for books, courses, and company-wide training to support your continuous growth.

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

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

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

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

Security and Data Governance – Knowledge of privacy, compliance, access control, auditability, and secure handling of sensitive or large-scale data

Platform Observability – Experience defining service-level indicators and objectives and using metrics, logs, traces, and alerting to improve production reliability

ML Operations and Experimentation – Familiarity with model training, evaluation, experiment tracking, artifact management, or related model-development workflows

Developer or ML Platforms – Experience building internal platforms, developer tools, workflow systems, or applications used by machine-learning researchers and engineers

Domain Experience – Previous experience with autonomous systems, robotics, simulation, or another safety-critical domain

Data and Workflow Systems – Experience with data pipelines, distributed job orchestration, event-driven architectures, or large-scale compute platforms