Full-Time

Principal Engineer

Software Platform

Confirmed live in the last 24 hours

Wayve

Wayve

201-500 employees

Develops autonomous vehicle technology using AI

Automotive & Transportation
AI & Machine Learning

Senior, Expert

London, UK

This is a hybrid role, requiring time in the office.

Category
Backend Engineering
Embedded Engineering
Software Engineering
Required Skills
Machine Learning

You match the following Wayve's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • Experience as tech lead of teams or projects spanning 20+ software engineers
  • Deep understanding of system software, from hardware level to distributed systems
  • Experience in designing and implementing software for complex systems
  • Experience delivering complex systems into production, and supporting them post-production
  • Experience communicating with senior stakeholders including executives
Responsibilities
  • Ensuring software performance and efficiency end-to-end, working between embedded and distributed infrastructure on one side, and machine learning (training and inference) and robotics use cases on the other side
  • Anticipating technical roadblocks – feasibility, schedule delays, complex interdependencies
  • Contributing to the definition and execution of engineering roadmaps
  • Making tough technical decisions putting in balance velocity, serviceability, sustainability
  • Setting and holding a high bar of software engineering practices – design, coding, test
  • Being a mentor to tech leads and managers across the software engineering organisation

Wayve.ai develops self-driving technology known as AV2.0, which focuses on creating smarter and safer autonomous vehicles. Their technology uses embodied AI software that allows vehicles to learn from their experiences and adapt to different environments without needing detailed programming. This method is different from traditional self-driving technologies that often rely on expensive hardware and pre-mapped environments. Instead, Wayve.ai employs end-to-end deep learning, making their solution more cost-effective for automakers. The company targets automakers and fleet operators, providing them with adaptable and affordable solutions for driving automation. Their goal is to enable widespread adoption of autonomous driving technology, as demonstrated by partnerships with major retailers like Ocado Group and Asda to test their technology in delivery fleets.

Company Stage

Series C

Total Funding

$1.3B

Headquarters

London, United Kingdom

Founded

2017

Growth & Insights
Headcount

6 month growth

0%

1 year growth

-2%

2 year growth

2%
Simplify Jobs

Simplify's Take

What believers are saying

  • Wayve's expansion into the U.S. opens access to a larger talent pool and partnerships.
  • Generative AI models like GAIA-1 offer new ways to simulate driving scenarios safely.
  • The appointment of Max Warburton as CFO enhances financial strategies and investor relations.

What critics are saying

  • Increased competition as more companies secure funding for similar autonomous technologies.
  • Potential regulatory challenges in the U.S. market with evolving autonomous vehicle laws.
  • Dependence on partnerships with retailers like Ocado and Asda may limit market reach.

What makes Wayve unique

  • Wayve uses embodied AI to adapt vehicles to any environment without explicit programming.
  • Its end-to-end deep learning eliminates the need for costly robotic stacks and mapping.
  • Wayve's AV2.0 technology offers a cost-effective solution for automakers and fleet operators.

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Benefits

Hybrid Work Options