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Full-Time

Vehicle Technician Lead

Confirmed live in the last 24 hours

Wayve

Wayve

201-500 employees

Develops autonomous vehicle technology using AI

Automotive & Transportation
Energy

Senior, Expert

Mountain View, CA, USA

Hybrid working policy requires time in the office.

Category
Mechanical Maintenance and Reliability Engineering
Mechanical Engineering
Required Skills
Communications
Requirements
  • Extensive development and prototype vehicle build experience, from whole-vehicle down to component level.
  • Comprehensive knowledge of vehicle architecture and operation of support equipment.
  • Experience of supporting and maintaining prototype vehicles, and ability to contribute to component and system fault diagnosis.
  • Competency in fabrication and basic machining skills.
  • Ability to interpret engineering specifications and drawings.
Responsibilities
  • Manage and prioritize workshop manufacturing and testing schedule
  • Provide regular progress updates and communicate any delays or concerns to stakeholders and management.
  • Track the operation and maintenance of workshop tooling, equipment, and vehicles. Schedule routine maintenance and repairs to ensure optimal functionality.
  • Work closely with cross-functional teams to build high-quality AV vehicles/benches/HIL’s & rigs for effective test and development.
  • Manage and support ad hoc activities for internal key stakeholders, such as software, electrical, mechanical, and safety teams to ensure quick problem resolution, and efficient communication of issues.
  • Maintain proper manufacturing documentation and record, including hardware and software updates.
  • Continuously seek opportunities to improve workshop operations and manufacturing efficiency.

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

29%

1 year growth

41%

2 year growth

88%
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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.