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Wayve

End-to-end autonomous-driving software for vehicles

Distinguished Software Architect

Software EngineeringUpdated on Nov 9
Full-time

About the Job

Requirements

  • Experience operating as a Principal, Distinguished, or equivalent senior individual contributor and shaping architecture for large, complex software systems.
  • A track record of leading significant technical or architectural change across multiple teams or engineering organizations.
  • Ability to understand a broad technical landscape while also going deep where needed.
  • Experience building systems in computer vision, robotics, physical AI, or another domain where sophisticated software and AI interact with the physical world.
  • Understanding of the architectural challenges involved in making AI models, software, compute, and hardware work together as a reliable production system.
  • Experience building or evolving software platforms that operate reliably across significant scale and complexity.
  • Ability to make difficult technical trade-offs and distinguish between what benefits an individual team and what benefits the broader system.
  • Ability to influence senior engineers and engineering leaders through technical credibility rather than organizational authority.
  • Strong interest in software design, engineering quality, and creating systems that enable engineers to work faster.
  • Ability to enter unfamiliar technical domains, learn quickly, and develop strong technical judgment.
  • Ability to combine architectural thinking with execution and turn technical direction into engineering change.

Responsibilities

  • Define architectural direction across the software ecosystem as the AI Driver scales across more vehicle platforms and products.
  • Create software boundaries, interfaces, and abstractions across AI, compute, and vehicle systems so teams can develop quickly without unnecessary fragmentation.
  • Lead large architectural changes spanning multiple engineering organizations.
  • Improve software development, integration, testing, and deployment across hardware and vehicle platforms.
  • Work across onboard software, computer vision, AI, simulation, training and inference, product engineering, and Robotaxi systems.
  • Help shape the development platforms and engineering systems that support building and deploying physical AI at scale.
  • Partner with teams working with original equipment manufacturers and Tier 1 suppliers to support different production environments, hardware configurations, and integrations.
  • Act as a technical decision-maker and tiebreaker on complex architectural decisions.
  • Help establish engineering and design practices for building large-scale, safety-critical AI and robotics systems.
  • Work across engineering organizations to understand how AI, software, and physical systems fit together and where decisions in one area affect another.
  • Work with senior engineers and engineering leaders to identify architectural challenges, shape technical direction, and lead changes across teams.
  • Help teams navigate trade-offs between immediate delivery needs and the long-term health and scalability of the overall system.
  • Create alignment across teams and raise the bar for software design and engineering practices.

Desired Qualifications

  • Experience in autonomous driving, robotics, or automotive systems; this experience is valuable but not essential.

About the Company

Wayve

End-to-end autonomous-driving software for vehicles

Wayve provides end-to-end autonomous-driving software for automakers and fleets that runs entirely on onboard compute and sensors, without relying on HD maps or city-by-city engineering. The system uses foundation models capable of zero-shot driving and has demonstrated ability to drive across 500+ cities in Europe, North America, and Japan. Unlike traditional AV stacks that depend on mapped data and per-city customization, Wayve aims to generalize driving with its onboard AI across diverse environments. Its goal is to scale commercial robotaxi trials from 2026 and bring supervised autonomy to consumer vehicles from 2027, backed by substantial funding partnerships to support rapid deployment.

Company size
1,001-5,000
Company stage
Series D
Total funding
$2.6B
Headquarters
London, United Kingdom
Founded
2017

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