Senior Software Engineer, Fleet Management

Overview

In this role you will own and deliver production-grade full-stack services that power Wayve’s fleet management for autonomous vehicles. You’ll work with cross-functional teams to turn complex fleet needs into reliable tools and scalable systems. You’ll prototype, design, implement, and operate software that connects vehicles to dispatch systems and provides visibility into state and telemetry. This is a hands-on, ownership-driven opportunity at a fast-growing AI automotive company with meaningful impact on safety and efficiency.

Pay / Benefits

• competitive salary
• meaningful equity
• relocation support and visa sponsorship
• hybrid working with core hours
• learning and development budgets
• comprehensive health benefits and dental

Responsibilities

• Own projects end-to-end from problem definition to deployment and production operation
• Collaborate with Product, Research, Safety, Operations, SRE and Infrastructure to build reliable services and intuitive tools
• Contribute to architecture, planning and prototyping to validate ideas
• Write well-tested code and participate in peer reviews
• Make technical trade-offs to improve fleet visibility and scalability
• Mentor peers and support growth of engineering practices
• Develop reliable deployment workflows for software, AI models and configurations across intermittently connected vehicles
• Build services connecting Wayve vehicles with external dispatch systems
• Create APIs and web interfaces for vehicle state visibility and diagnostics
• Provide tools to explore telemetry and operational data and report on utilization and performance
• Own scalable, observable full-stack systems in production

Key requirements

• Experience building, shipping and operating production full-stack applications and web services
• Hands-on depth across frontend, backend and infrastructure (React, TypeScript, MUI; Rust, Go, Node.js; Kubernetes, Azure, Bazel)
• Independent ownership of projects from problem to operation
• Understanding of API contracts, data modeling, service boundaries and distributed systems reliability
• Experience using metrics, logs and traces to diagnose production behavior
• Clear communication across engineering, product and operations; mentoring and improving engineering practices
• Valuable but not essential: robotics, autonomy, telemetry pipelines, OTA deployment or multi-OEM environments

• Clear communicator across cross-functional teams
• Mentoring and coaching
• Problem solving and proactive learning
• React
• TypeScript
• MUI

…