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Full-Time

Platform Engineer

Confirmed live in the last 24 hours

Wayve

Wayve

201-500 employees

Develops autonomous vehicle technology using AI

Automotive & Transportation
Energy

Senior, Expert

London, UK

Category
DevOps & Infrastructure
Platform Engineering
Required Skills
Bash
Kubernetes
Microsoft Azure
Python
Gradle
Docker
Maven
Terraform
Ansible
Development Operations (DevOps)
Requirements
  • 5+ years professional experience in Infrastructure, Platform Engineering, DevOps or a similar role
  • Build systems experience: Bazel ideally, alternatively Buck, Pants, Cmake, Make, Maven or Gradle
  • Experience with Docker, Kubernetes and Cloud systems (we use mostly Azure)
  • Experience with Infrastructure-as-Code (e.g. Terraform, Ansible)
  • Experience in Python is required (but we are not looking for language-expert) and shell scripting (Bash)
  • Strong debugging skills; willingness to optimise your code
  • Attitude to make the best for other engineers and yourself
Responsibilities
  • Making our build system faster, more efficient and shinier than ever
  • Ensuring that we and our engineers use the right tools in the most efficient manner to achieve our goals
  • Keeping tools, technologies and frameworks we use up-to-date
  • Performing general administration and technical duties in order to support activities and operations within the DevSecOps team
  • Taking part in creating new development environment that will be used by all our engineers
  • Setting in operation a new system ensuring our pipelines are fast and reproducible to reduce the flakiness of different build stages across the entire company
  • Driving the team’s objectives and technical strategies to identify and seize opportunities that enhance the overall efficiency of the team

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.