Senior Software Engineer, Fleet Management

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 As a Senior Software Engineer on our Fleet Management team, you'll build the platform that lets Wayve's engineers and operators deploy software, monitor vehicle health, and understand what's happening across the fleet in real time. The team also plays a central role in Wayve's robotaxi operations, acting as the interface between our vehicles and the external services that dispatch and manage autonomous rides. These aren't traditional enterprise tools; the software you build connects our engineers and operators directly with vehicles operating on public roads. You'll take projects from problem definition through technical design, implementation, deployment, and operation, working directly with Research, Safety, Operations, SRE, and Infrastructure to deliver solutions that scale with Wayve's growing fleet. This is an opportunity to join an early-stage team building fleet infrastructure across a global AV fleet and multiple OEM integrations — each with its own configuration, protocols, and engineering challenges. You'll shape how the team works as much as what it builds. Key responsibilities Build reliable distributed services and workflows for deploying software, AI models, and configurations across vehicles that may be intermittently connected; solve for correctness, ordering, and rollback in environments where connectivity is not guaranteed. 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. About you  Essential skills 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; Rust, Go, and Node.js on the backend (Rust is a plus but not required); and Kubernetes, Azure, and Bazel for infrastructure. 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. Desirable skills Experience with autonomous vehicles, self-driving technology, robotaxi operations, robotics, or connected vehicle fleets. Experience building data pipelines, analytics tools, or working with large-scale telemetry data. Background in distributed systems, networking, o