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Wayve

End-to-end autonomous-driving software for vehicles

Director, Application Software

Engineering LeadershipUpdated on Nov 9
Full-time

About the Job

Requirements

  • Significant engineering and leadership experience within autonomous driving, advanced driver-assistance systems, automotive artificial intelligence, or related vehicle technologies.
  • Strong understanding of autonomous driving and machine learning, including how machine-learning-enabled driving capabilities are developed, integrated, validated, and deployed in vehicles.
  • Experience taking new driving features, behaviours, or capabilities from development toward production, with meaningful technical ownership across the autonomy or machine learning and vehicle integration lifecycle.
  • Experience delivering complex software or artificial-intelligence-enabled systems within production automotive programmes, and understanding vehicle systems, embedded platforms, and integration constraints.
  • Experience building and leading multidisciplinary engineering teams and developing senior engineers, technical leaders, and engineering managers.
  • Strong technical judgement across artificial intelligence, autonomy, and vehicle systems, with the ability to make effective architectural and engineering trade-offs across disciplines.
  • Ability to build trusted relationships with original equipment manufacturer customers and senior technical partners while clearly and credibly representing engineering priorities.

Responsibilities

  • Lead and grow the US Application Software organisation, developing senior engineers, technical leaders, and engineering managers.
  • Own how Wayve’s core artificial intelligence and autonomous driving technology is applied to customer vehicle programmes, from technical definition through integration, validation, release, and production.
  • Guide the development and delivery of new advanced driver-assistance systems and autonomous driving capabilities across machine learning, autonomy, vehicle systems, and application software.
  • Create a strong technical bridge between Wayve’s core engineering teams and original equipment manufacturer customers, ensuring vehicle and customer requirements are reflected in engineering priorities.
  • Provide technical and architectural leadership across autonomous driving, machine-learning-enabled systems, embedded software, vehicle integration, and deployment.
  • Partner with artificial intelligence, autonomy, product, safety, validation, release, and systems engineering teams to solve complex technical challenges and deliver customer outcomes.
  • Turn learning from individual customer programmes into reusable components, engineering practices, and integration approaches that accelerate future deployments.
  • Build trusted relationships with senior engineering stakeholders at automotive partners and represent Wayve in technical discussions, architecture reviews, and programme planning.
  • Bring insights from customer deployments back into Wayve’s core technology and product teams, helping shape architecture and global deployment strategy.

Desired Qualifications

  • Experience with end-to-end learned driving systems.
  • Experience with automotive embedded environments such as C++, Linux, QNX, or Adaptive AUTOSAR.
  • Experience with automotive safety and security frameworks such as ISO 26262, ISO/SAE 21434, UN R155/156, or A-SPICE.

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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