Full-Time

Site Reliability Engineer

Onboard Software

Confirmed live in the last 24 hours

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
Site Reliability Engineering
Required Skills
Datadog
Kubernetes
Rust
Microsoft Azure
Python
Docker
AWS
Prometheus
C/C++
Splunk
Google Cloud Platform
Requirements
  • Over 8 years experience in Site Reliability Engineering or a similar role, especially in a production environment.
  • Expertise in Python, C++, or Rust, with a solid foundation in cloud computing platforms (AWS, GCP, or Azure).
  • Expert of CI/CD processes, containerization (Docker, Kubernetes), and a deep understanding of networking, distributed systems, and databases.
  • Expert with monitoring and troubleshooting utilities (DataDog, Prometheus, Grafana, ELK stack, Splunk, Humio, etc.).
  • Exceptional problem-solving skills and a detail-oriented mindset, coupled with outstanding communication abilities.
  • Experience with Azure, a background in autonomous vehicles, or involvement in ML/AI projects.
Responsibilities
  • Elevate Operational Excellence: Guarantee the seamless operation of our autonomous vehicles on public roads, enhancing our ability to transform urban mobility.
  • Innovate and Automate: Drive the development of cutting-edge tools and automation to streamline operations, from first-line support enhancements to fleet management.
  • Metrics and Monitoring Mastery: Develop key metrics and monitoring/logging systems that preempt problems and promote rapid resolution, ensuring the highest levels of performance and reliability.
  • Master the intricate dance of software and hardware that powers autonomous navigation, crafting solutions that set new industry benchmarks.
  • Spearhead the adoption of forward-thinking tools and technologies that align with our visionary goals, both now and in the future.
  • Champion automation to continuously elevate our efficiency, aiming to make manual interventions a thing of the past.

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

38%

1 year growth

57%

2 year growth

115%
Simplify Jobs

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.

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