Senior Software Engineer, Fleet Management

Job description

Job responsibilities

• Build reliable distributed services and workflows for deploying software, AI models, and configurations across vehicles that may be intermittently connected;
• Build and maintain the services that support robotaxi operations — the interfaces and systems that connect Wayve's vehicles to external dispatch services and enable remote autonomous operations at scale.
• Develop scalable services, APIs, and intuitive interfaces that give engineers deep visibility into vehicle state and enable fast, confident diagnosis of issues.
• Build tools and services that enable engineers and researchers to explore and understand large volumes of vehicle telemetry and operational data.
• Develop reporting and analytics tools that track vehicle utilisation, system performance, and mission outcomes, enabling data-driven engineering and operational decisions.
• Design and build systems spanning web applications, backend services, embedded APIs, and cloud infrastructure, taking end-to-end ownership of their quality and evolution in production.
• Write high-quality, well-tested code, contribute to design and code reviews, and help other engineers grow.

Job requirements

• Significant professional experience building, shipping, and operating production full-stack applications and web services, with strong hands-on depth across the stack: React, TypeScript, and MUI on the frontend;
• Experience designing, building, and operating APIs and web services, including sound judgement around API contracts, data modelling, service boundaries, reliability, observability, and failure handling.
• A track record of independently owning meaningful projects end-to-end, from problem definition and technical design through implementation, deployment, and production operation.
• Experience with distributed systems and microservice architectures, with an understanding of reliability, consistency, scalability, and failure modes across service boundaries.
• Experience using metrics, logs, traces, and observability tooling to understand production systems and make data-driven decisions.
• Clear communication skills and the ability to work effectively with Product, engineering, and operational teams across the organisation.
• An interest in mentoring engineers, improving engineering practices, and contributing to technical direction.
• Experience with autonomous vehicles, self-driving technology, robotaxi operations, robotics, or connected vehicle fleets.