Full-Time

Infrastructure Engineer

Confirmed live in the last 24 hours

Wayve

Wayve

201-500 employees

Develops autonomous vehicle technology using AI

Automotive & Transportation
AI & Machine Learning

Senior

Sunnyvale, CA, USA

Hybrid working policy requires in-office presence.

Category
DevOps & Infrastructure
Cloud Engineering
DevOps Engineering
Required Skills
TCP/IP
Bash
Kubernetes
Python
Docker
Terraform
Ansible
Development Operations (DevOps)
Linux/Unix
Requirements
  • 5+ years professional experience in Infrastructure, DevOps or a similar role in a fast-paced, rapidly scaling company
  • Strong understanding of networking concepts, protocols (TCP/IP), and technologies
  • Strong expertise of Linux systems and low-level Linux
  • Experience in shell scripting (Bash)
  • Experience in standard IT security practices (e.g., encryption, certificates, key management)
  • Demonstrated ability to handle complex projects with minimal oversight
  • Experience with business-grade network solutions (Juniper, Mikrotik, Cisco)
  • Experience with Docker, Kubernetes, Infrastructure-as-Code (e.g. Terraform, Ansible)
  • Experience in Python or other system programming languages (Python favoured)
  • Experience with Cloud computing across virtualized environments, as well as hybrid on-premise and cloud environments
Responsibilities
  • Support project designing and implementing new infrastructure and networking into the company environment
  • Provide continued support to existing infrastructure (both cloud-based and on-prem)
  • Ensure compliance with the standards and requirements relative to cyber security
  • Establish and maintain Infrastructure as Code best practices
  • Drive initiatives to optimise infrastructure costs, increase operational efficiency, and enhance overall reliability and performance
  • Support geographical expansion of the company as needed

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

59%

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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