Senior Software Engineer, Fleet Management

Overview

In this role you’ll own end-to-end development for Wayve’s Fleet Management platform, enabling reliable deployment and operation of autonomous vehicles and data-collection devices. You will work with cross-functional teams to turn fleet needs into dependable services and intuitive tools, shaping architecture and prototypes that scale with the fleet. You’ll write well-tested code, review peers, and help drive engineering practices and student growth. This is a hands-on, impact-focused role at the intersection of software, robotics and operations with a meaningful mission to advance autonomous mobility.

Pay / Benefits

• Salary benchmarks aligned with market
• Equity participation
• Relocation assistance and visa sponsorship
• Hybrid working with core hours
• Learning and development budgets
• Health insurance and dental, enhanced maternity/paternity leave

Responsibilities

• Lead projects from problem definition to production operation
• Collaborate with Product, Research, Safety, Operations, SRE and Infrastructure to translate fleet needs into services
• Contribute to architecture and validation through prototypes
• Write and review production-ready code
• Make trade-offs to improve fleet visibility and scalability
• Mentor teammates and promote engineering best practices
• Develop reliable deployment workflows for software, AI models and vehicle configurations
• Build services linking Wayve vehicles with external dispatch systems
• Create APIs and web interfaces for vehicle state visibility and issue diagnosis
• Provide tools to explore telemetry and operational data, plus usage reporting
• Own scalable, observable full-stack systems in production

Key requirements

• Experience building, shipping and operating production full-stack applications and web services
• Hands-on breadth across frontend, backend and infrastructure
• Familiarity with React, TypeScript and MUI; Rust, Go and Node.js; Kubernetes, Azure and Bazel is helpful
• Independent ownership of projects from problem to operation
• Understanding of API contracts, data modeling, service boundaries and distributed systems reliability
• Use of metrics, logs and traces to guide production decisions
• Clear communication across engineering, product and operations; mentoring ability
• Experience in robotics/autonomy, telemetry pipelines, OTA deployment or multi-OEM environments is valuable but not essential

• Clear communication across teams
• Mentoring and technical leadership
• Problem-solving and initiative
• React
• TypeScript
• MUI

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