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Full-Time

Principal Engineer

Software Platform

Confirmed live in the last 24 hours

Wayve

Wayve

201-500 employees

Develops autonomous vehicle technology using AI

Robotics & Automation
Hardware
AI & Machine Learning

Senior, Expert

London, UK

Category
Backend Engineering
Embedded Engineering
Software Engineering
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 data. Instead, Wayve.ai employs end-to-end deep learning, making their solution more cost-effective for automakers. The company targets automakers and fleet operators, offering them adaptable and affordable solutions for driving automation. Wayve.ai aims to enhance mobility by partnering with companies like Ocado Group and Asda to test their technology in real-world delivery scenarios.

Company Stage

Series C

Total Funding

$1.3B

Headquarters

London, United Kingdom

Founded

2017

Growth & Insights
Headcount

6 month growth

28%

1 year growth

39%

2 year growth

83%
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Simplify's Take

What believers are saying

  • Wayve.ai's recent $1.05 billion funding round underscores strong investor confidence and provides substantial capital for further innovation and expansion.
  • The launch of PRISM-1, a 4D reconstruction model, enhances the testing and training of their autonomous driving technology, potentially accelerating development timelines.
  • Partnerships with major retailers and fleet operators offer significant opportunities for real-world testing and rapid deployment of their technology.

What critics are saying

  • The autonomous vehicle sector is highly competitive, with major players like Tesla and Nvidia investing heavily in similar technologies, which could impact Wayve.ai's market share.
  • The reliance on end-to-end deep learning and embodied AI, while innovative, may face challenges in regulatory approval and public acceptance.

What makes Wayve unique

  • Wayve.ai's use of embodied AI software allows vehicles to learn and adapt from experience, eliminating the need for costly HD maps and human-engineered systems, unlike traditional autonomous vehicle technologies.
  • Their end-to-end deep learning approach reduces the reliance on expensive robotic stacks, making their solution more cost-effective for automakers.
  • Wayve.ai's partnerships with leading UK retailers like Ocado Group and Asda for trialing their technology in delivery fleets demonstrate their practical, real-world application and scalability.