Full-Time

Software Engineer

Cloud Services, Map & Route

Confirmed live in the last 24 hours

Wayve

Wayve

201-500 employees

Develops autonomous vehicle technology using AI

Automotive & Transportation
AI & Machine Learning

Mid

London, UK

Category
Backend Engineering
Software Engineering
Required Skills
Kubernetes
Rust
Microsoft Azure
Python
REST APIs
C/C++
Requirements
  • At least 3 years of experience in building and deploying cloud-based microservices, particularly in a Kubernetes environment.
  • Proficiency in working with Kubernetes and deploying services to Azure, including managing CI/CD pipelines and optimizing deployments for performance.
  • Strong programming skills in languages such as Python, C++, or Rust, with a focus on creating efficient, scalable, and maintainable code.
  • Experience designing RESTful APIs and ensuring consistency across distributed systems, ideally involving both cloud and embedded use cases.
  • Strong communication skills and experience working with multiple stakeholders, including embedded engineers, data scientists, and cloud infrastructure teams.
  • Experience with mapping technologies or Geographic Information Systems (GIS) is a significant plus.
Responsibilities
  • Design and implement cloud-based microservices that provide map and routing services to support training, evaluation, and onboard vehicle needs.
  • Collaborate with the embedded software team to develop consistent APIs for both embedded and cloud services, ensuring a unified approach across Wayve's systems.
  • Create and deploy microservices to a Kubernetes-based cloud environment hosted in Azure, optimizing for reliability, scalability, and performance.
  • Work with various teams, including Embodied AI, Evaluation & Validation, and Onboard Software, to gather requirements and ensure that services meet the diverse needs of internal stakeholders.
  • Apply mapping and Geographic Information System (GIS) technologies to enhance the quality and functionality of the routing services.

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 partners with automakers and fleet operators to provide adaptable and affordable driving automation solutions, aiming to enhance the efficiency of delivery services and other applications. Wayve.ai's goal is to transform mobility by making autonomous driving accessible and sustainable.

Company Stage

Series C

Total Funding

$1.3B

Headquarters

London, United Kingdom

Founded

2017

Growth & Insights
Headcount

6 month growth

23%

1 year growth

67%

2 year growth

126%
Simplify Jobs

Simplify's Take

What believers are saying

  • Partnership with Uber enhances market reach and credibility for Wayve's autonomous vehicles.
  • Expansion to the U.S. taps into a larger market and rich talent pool.
  • Unveiling of GAIA-1 provides a competitive edge in sophisticated autonomous driving systems.

What critics are saying

  • Increased competition in San Francisco could dilute Wayve's market presence.
  • Dependency on Uber partnership may pose risks if strategic focus shifts.
  • Reliance on end-to-end deep learning may face skepticism from traditional clients.

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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