Cloud Infrastructure Engineer, Wayve

Salary not provided

AWS

Docker

Kubernetes

GCP

Python

Bash

Linux

Terraform

ELK

Ansible

Azure

Prometheus

Grafana

Junior, Mid and Senior level

San Francisco Bay Area

2-5 days a week in office (Sunnyvale, CA)

Autonomous mobility driven by AI

Be an early applicant

Autonomous mobility driven by AI

501-1000 employees

B2CB2BArtificial IntelligenceCarsTransportBig dataDeep TechRoboticsFlexible workingComputer VisionMachine LearningSaaSCloud Computing

Be an early applicant

Salary not provided

AWS

Docker

Kubernetes

GCP

Python

Bash

Linux

Terraform

ELK

Ansible

Azure

Prometheus

Grafana

Junior, Mid and Senior level

San Francisco Bay Area

2-5 days a week in office (Sunnyvale, CA)

501-1000 employees

B2CB2BArtificial IntelligenceCarsTransportBig dataDeep TechRoboticsFlexible workingComputer VisionMachine LearningSaaSCloud Computing

Company mission

To reimagine autonomous mobility with embodies intelligence, aiming to lead the world into a new era of autonomy.

Job

Company

Role

Who you are

2–5 years of experience in DevOps, cloud infrastructure, or related engineering roles
Hands-on experience with at least one cloud platform (Azure, AWS, or GCP)
Experience with Infrastructure-as-Code tools (e.g. Terraform, Ansible)
Familiarity with CI/CD systems and cloud-based deployment pipelines
Basic understanding of networking, cloud architecture, and system reliability
Strong troubleshooting and problem-solving skills
We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply

Desirable

Experience with containerisation and orchestration (Docker, Kubernetes)
Familiarity with monitoring and observability tools (e.g. Prometheus, Grafana, ELK)
Experience working with Linux systems and shell scripting
Programming or scripting experience (e.g. Python, Bash, Go, or similar)
Understanding of security best practices in cloud environments
Exposure to large-scale or distributed systems

What the job involves

Cloud Infrastructure Engineer, you will help build, operate, and improve the cloud platforms and infrastructure that support Wayvei’s software development and release systems
Working as part of a team, you’ll focus on maintaining reliable, scalable, and secure cloud environments, while improving the systems that enable efficient software development, testing, and deployment
This is a hands-on role with opportunities to deepen your expertise in cloud infrastructure, automation, and platform engineering
Build, maintain, and improve cloud infrastructure (primarily Azure) to support development, testing, and production environments
Contribute to Infrastructure-as-Code (IaC) implementations (e.g. Terraform, Ansible) to ensure consistent and repeatable infrastructure provisioning
Support and improve CI/CD pipelines and deployment systems running in cloud environments
Monitor, troubleshoot, and optimise cloud systems for performance, reliability, and cost efficiency
Assist in managing containerised workloads and orchestration platforms (e.g. Docker, Kubernetes)
Implement and maintain observability tools (logging, metrics, alerting) to ensure system health and rapid incident response
Work with engineering teams to ensure infrastructure meets application requirements and supports scalable software delivery
Help improve security, access control, and compliance within cloud environments
Participate in incident response and root cause analysis for infrastructure and deployment issues
Continuously improve automation, reducing manual operations across infrastructure and deployment workflows

Our take

Wayve is developing AI that teaches cars to drive autonomously using reinforcement learning, simulation, and computer vision. Wayve’s core premise is that the big breakthrough in self-driving cars will come from better AI brains rather than more sensors or “hand-coded” rules which it believes are highly restrictive and not at all scalable.

The company said that it trains its autonomous driving system using simulated environments and then transfers that knowledge into the real world, where it emulates how humans adapt to conditions in real time. It ultimately relies on end-to-end deep learning AI rather than hard-engineered AI. This is one of the world's hardest problems to solve, but Wayve has made an exciting start and is taking a very different approach to competitors like Uber and Waymo, who are relying more on sensors.

Following a few years of innovative breakthroughs, Wayve now has backing from high-profile investors such as Microsoft and angels, including Uber's chief scientist Zoubin Ghahramani and Pieter Abbeel, a UC Berkeley robotics professor and pioneer of deep reinforcement learning. The company's strategic partnerships with outfits like Asda and Ocado to test-run autonomous deliveries, as well as publicity through the Minister is a show of confidence in the future of Wayve's solution to autonomous driving.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Top investors

28% female employees

24% employee growth in 12 months

Glassdoor (4.6)

Company

Funding (last 2 of 8 rounds)

Feb 2026

$1.2bn

SERIES D

May 2024

$1.1bn

SERIES C

Total funding: $2.5bn

Company benefits

Private healthcare: Choose our optional health insurance for comprehensive coverage for you and your family.
Paid time off: Paid vacation plus public holidays and additional leave programs, ensuring you have time to unwind.
Mental health resources: Through Spill, you can access therapy and mental health support.
Community and socials: Join clubs or attend team socials to connect over hobbies, sports, or just for fun.
Competitive compensation: Our compensation package includes cash and equity, making you a true partner in our success.
Learning and development: Budgets for books, courses, and company-wide training to support your continuous growth.

Company HQ

London, UK

Leadership

Alex Kendall

(Co-Founder & CEO)

Alex has a PhD from Cambridge in Computer Vision & Robotics. Prior to Wayve, he was a Research Fellow at Trinity College, a Scientific Advisor at Scape Technologies, a Research Engineer at Skydio, and a Software Engineer at Beca.

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