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Full-Time

Site Reliability Engineer

Onboard Software

Updated on 7/22/2024

Wayve

Wayve

201-500 employees

Develops AI software for autonomous vehicles

Robotics & Automation
Hardware
AI & Machine Learning

Expert

Mountain View, CA, USA

Category
DevOps & Infrastructure
Site Reliability Engineering
Required Skills
Datadog
Kubernetes
Rust
Microsoft Azure
Python
Docker
AWS
Splunk
Google Cloud Platform
Requirements
  • Proven experience in Site Reliability Engineering or a similar role
  • Expertise in Python, C++, or Rust with a solid foundation in cloud computing platforms (AWS, GCP, or Azure)
  • Expertise in CI/CD processes, containerization (Docker, Kubernetes), networking, distributed systems, and databases
  • Expertise with monitoring and troubleshooting utilities (DataDog, Prometheus, Grafana, ELK stack, Splunk, Humio, etc.)
  • Exceptional problem-solving skills and detail-oriented mindset with outstanding communication abilities
Responsibilities
  • Elevate Operational Excellence
  • Innovate and Automate
  • Metrics and Monitoring Mastery
  • Master the intricate dance of software and hardware
  • Spearhead the adoption of forward-thinking tools and technologies
  • Champion automation to elevate efficiency

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%