Full-Time

Platform Engineer

Posted on 7/16/2024

Wayve

Wayve

201-500 employees

Develops autonomous vehicle technology using AI

Automotive & Transportation
AI & Machine Learning

Senior, Expert

London, UK

Hybrid working policy requires time in the office in London.

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 a smarter and safer approach to 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 has already partnered with major retailers in the UK to test its technology in delivery fleets, aiming to enhance mobility and sustainability in the automotive industry.

Company Stage

Series C

Total Funding

$1.3B

Headquarters

London, United Kingdom

Founded

2017

Growth & Insights
Headcount

6 month growth

-1%

1 year growth

-3%

2 year growth

2%
Simplify Jobs

Simplify's Take

What believers are saying

  • Wayve's partnership with Uber expands its market reach and data collection opportunities.
  • The expansion into the U.S. market taps into a larger talent pool and partnerships.
  • Generative AI models like GAIA-1 offer new ways to simulate driving scenarios.

What critics are saying

  • Increased competition in San Francisco could dilute Wayve's market presence.
  • Regulatory challenges may delay the deployment of Wayve's technology with Uber.
  • Wayve's reliance on AI systems may face skepticism from traditional automakers.

What makes Wayve unique

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

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Benefits

Hybrid Work Options

INACTIVE