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Staff Cloud SRE – AI/ML Platform & GPU Compute at Wayve - ApplyBlast

Staff Cloud SRE – AI/ML Platform & GPU Compute

Wayve

5 months ago

4.4 on Glassdoor

London, United Kingdom

Hybrid

Full Time

Senior

0 applicants

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About this role

A Staff Cloud Site Reliability Engineer at Wayve builds and scales the reliability foundations of their AI cloud platform, including model development and GPU compute infrastructure, ensuring large-scale AI systems operate predictably, efficiently, and at scale.

Responsibilities

Own the reliability, availability, and performance of the Model Dev Platform and GPU Compute environments
Define and operationalise SLOs, SLIs, and error budgets across platform services
Improve capacity planning, scaling strategies, and resource efficiency across large GPU-backed clusters
Build automation for cluster operations, training workflows, remediation, and scaling tasks
Design and operate monitoring, logging, tracing, and alerting systems that enable rapid detection and recovery

Skills

About Wayve

wayve.ai

Headquarters

London, England, United Kingdom

Company Size

201-500 employees

Founded

2017

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Wayve is a UK-founded autonomous driving company developing "embodied AI" — end-to-end learning systems that enable vehicles to perceive, reason and act in complex, dynamic environments. Their camera-first, data-driven approach trains neural policies from real-world driving and simulation to scale capability across locations and vehicle platforms rather than relying on hand-engineered, map-heavy rules. Wayve builds software for both advanced driver assistance and full automated-driving applications, emphasizing adaptability and continual learning. They work with OEMs and fleet partners to commercialize scalable autonomy for real-world deployment.