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Staff SRE, AI Infrastructure

wayveLondon, United KingdomAI Platform
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Salary
Not listed
Job type
Full-time
Experience
Senior
Posted
5 Oct 2026
Status
Open · checked 7d ago

About this role

This role suits engineers who want real ownership and enjoy shaping infrastructure practices in a growing environment rather than working within a settled structure from day one. Based in London, United Kingdom, the Staff SRE, AI Infrastructure position at Wayve involves building and operating platforms that power autonomous driving technology.

Role Overview

Wayve is hiring a Staff SRE, AI Infrastructure for its London, United Kingdom location to support the rapid growth of its GPU fleet and data footprint. The position sits within the AI Infrastructure organization, encompassing AI Platform, Compute & Data Platform, and Cloud Infrastructure teams. The engineer in this role will establish reliability standards, automation, and operational practices to support scalable machine learning development.

Key Responsibilities

Collaborate hands-on with engineers across infrastructure teams to spot reliability risks and turn recurring operational issues into durable engineering solutions.
Enhance observability, automation, deployment safety, capacity planning, and incident learning while assisting teams with SLO adoption and production-readiness.
Troubleshoot complex failures spanning compute, networking, storage, and distributed workloads.
Refine GPU node health detection and automated recovery to strengthen distributed AI training resilience.
Build continuous GitOps delivery using platforms like Argo CD or Flux.
Improve Kubernetes scheduling, autoscaling, policy enforcement, and resource efficiency while developing forecasting for GPU and storage capacity.
Create reusable self-service capabilities for reliable platform operations at scale.

Requirements

Hands-on experience owning reliability for large-scale cloud, Kubernetes, or distributed infrastructure.
Recent background in coding, automating, configuring, or troubleshooting production systems directly.
Familiarity with Python or Go, infrastructure as code, CI/CD or GitOps, and modern observability practices.
Understanding of distributed-systems failure modes across compute, networking, and storage.
Ability to demonstrate measurable improvements to reliability, performance, capacity, or cost.
Capability to collaborate effectively across teams.

Nice to Have

Direct experience with GPU, ML-training, or HPC infrastructure.

Skills and Tools

Python
Go
Kubernetes
Argo CD
Flux
Infrastructure as Code
CI/CD
GitOps

Salary and Benefits

Salaries benchmarked annually against the market.
Meaningful equity for sharing in company ownership and long-term success.
Relocation support and visa sponsorship where applicable.
Hybrid working model with core hours and access to vehicle workshops and labs.
Learning and development budgets supporting training, conferences, and growth.
Comprehensive benefits including health insurance, dental coverage, enhanced maternity and paternity leave, retirement or pension plans, therapist access, wellbeing partnerships, and team socials.

About the Company

Wayve builds embodied intelligence and an end-to-end AI platform that moves real vehicles safely without relying on hand-coded rules or pre-mapped environments. The company operates a mapless and hardware-agnostic AI platform integrating with global OEM partners to scale autonomy from L2+ to L4. Main hubs are located in London, Sunnyvale, Yokohama, Herzliya, Vancouver, and Leonberg, utilizing a hybrid working model.

How to Apply

Candidates should apply directly on the official company careers page at Wayve.

Skills and tech stack

PythonGoKubernetesArgo CDFluxGitOpsCI/CDDistributed Systems

Questions candidates ask

What location is this role based in?

This role is based in London, United Kingdom, with a hybrid working model combining in-office collaboration and remote flexibility.

What kind of systems and infrastructure will I be working with?

You will work with large-scale GPU compute, Kubernetes, storage, deployment systems, distributed AI training workloads, and cloud infrastructure.

What programming languages and tools are required?

You should be comfortable working in Python or Go, infrastructure as code, CI/CD or GitOps tools like Argo CD or Flux, and modern observability practices.

Is visa sponsorship available for this position?

Yes, relocation support and visa sponsorship are available where applicable.

What is the interview process like?

The interview process includes an initial call or recruiter screen, competency interviews, deep-dive technical interviews, and a final interview focusing on mission and values alignment.

Ready to apply?

The application is on the official wayve careers page.

Apply on company site