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 autonomous vehicles that learn from experience and adapt to their environments. This technology uses embodied AI software and end-to-end deep learning, allowing vehicles to operate without the need for expensive hardware, HD maps, or complex programming. Unlike traditional autonomous vehicle systems, Wayve.ai's approach is more cost-effective and adaptable, making it appealing to automakers and fleet operators. The company partners with these clients to provide solutions for driving automation, aiming to enhance mobility in a smarter, safer, and more sustainable way. Wayve.ai's goal is to transform the automotive industry by making autonomous driving technology accessible and efficient.

Company Stage

Series C

Total Funding

$1.3B

Headquarters

London, United Kingdom

Founded

2017

Growth & Insights
Headcount

6 month growth

28%

1 year growth

65%

2 year growth

126%
Simplify Jobs

Simplify's Take

What believers are saying

  • Wayve's $1.05 billion funding boosts its technology development and market penetration.
  • Partnership with Uber expands Wayve's market reach and application in global markets.
  • Expansion into the U.S. market increases visibility and potential partnerships in the automotive industry.

What critics are saying

  • Increased competition as more companies secure funding for similar autonomous technologies.
  • Potential regulatory challenges in the U.S. due to stringent autonomous vehicle regulations.
  • Dependence on strategic partnerships, which may not yield expected results.

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 HD maps.
  • Wayve's AV2.0 technology offers a cost-effective solution for automakers and fleet operators.

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