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Staff Software Engineer, Storage Platform

wayve • United Kingdom
Visa Sponsorship Relocation
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Lead the technical direction and architecture of Wayve's petabyte-scale storage infrastructure for embodied AI. Design and build production services for data governance, lifecycle management, and high-performance caching. Requires extensive experience in Staff-level infrastructure leadership and hands-on expertise in Python, Go, and Kubernetes.

Key Highlights
First dedicated Staff Engineer for Storage Platform setting the technical direction for exabyte-scale data
Focus on reducing infrastructure costs while improving GPU data access patterns and throughput
Ownership of the entire data lifecycle from ingestion and tagging to secure deletion and auditing
Key Responsibilities
Lead a hands-on, multi-quarter storage programme from problem definition and architecture to delivery.
Build production services, controllers, and infrastructure using Python, Go, Kubernetes, and Terraform.
Partner with ML and data teams to remove storage bottlenecks and reduce GPU wait times.
Collaborate with Security and Privacy teams to strengthen access controls, auditing, and safe data deletion.
Write design documents and RFCs to align teams around shared standards and mentor engineers.
Implement data ownership, governance, tagging, and team-level cost attribution.
Build retention, deletion, and re-tiering capabilities for Azure Blob storage.
Improve read performance and caching to tackle small-object reads and cross-region hops.
Design Kubernetes-native NVMe caching and secure replication across regions and clouds.
Establish standards, dashboards, and SLOs for availability, performance, and cost.
Technical Skills Required
Python Go Kubernetes
Benefits & Perks
Market-benchmarked salaries
Equity
Relocation support
Visa sponsorship
Hybrid working
Learning and development budgets
Health insurance
Dental insurance
Enhanced maternity and paternity leave
Retirement or pension
Nice to Have
Experience with AWS
Experience with GCP

Job Description

Before the detail, here's the challenge you'd help us solve.We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.Here’s what this particular role covers.Our AI Platform teams build the infrastructure that powers Wayve’s embodied AI. We store and serve hundreds of petabytes of driving data, growing towards exabyte scale, to support model training, simulation and data pipelines across regions and clouds.
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