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Full-Time

Site Reliability Engineer

Onboard Software

Posted on 6/27/2024

Wayve

Wayve

201-500 employees

Develops AI software for autonomous vehicles

Robotics & Automation
Hardware
AI & Machine Learning

Senior, Expert

London, UK

Category
DevOps & Infrastructure
Network Engineering
IT & Security
Cloud Engineering
DevOps Engineering
Required Skills
Datadog
Kubernetes
Rust
Microsoft Azure
Python
Communications
Docker
AWS
Splunk
Google Cloud Platform
Requirements
  • Proven 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
Responsibilities
  • Elevate Operational Excellence: Guarantee the seamless operation of 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
  • Mastering the intricate dance of software and hardware that powers autonomous navigation, crafting solutions that set new industry benchmarks
  • Spearheading the adoption of forward-thinking tools and technologies that align with our visionary goals, both now and in the future
  • Championing automation to continuously elevate our efficiency, aiming to make manual interventions a thing of the past

Wayve is pioneering AV2.0, an embodied AI software that enables self-driving vehicles to learn from experience and drive in any environment without detailed maps or programmed rules. Their technology uses machine learning to develop autonomous systems, partnering with fleet operators to bring scalable AV solutions to logistics and delivery services.

Company Stage

Series C

Total Funding

$1.3B

Headquarters

London, United Kingdom

Founded

2017

Growth & Insights
Headcount

6 month growth

28%

1 year growth

35%

2 year growth

85%
INACTIVE