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Member of Technical Staff (Infrastructure Engineer, Compute Infrastructure)

London💼 Full-time🗓 2026-05-28 → 2026-09-26

Core

Build and operate the operational layer for GPU clusters, scheduling, networking, and observability to support frontier AI research and agent creation.

Role type

Senior Infrastructure Engineer (Compute)

Builds

GPU clusters, Kubernetes/Linux/cloud stacks, and agent-driven automation for cluster lifecycle.

Domain

AI Research Infrastructure / High-Performance Computing

Deliverable

production ML models | infrastructure

Required skills

Kubernetes internals, cluster provisioning, Linux systems, networking, container orchestration, systems thinking, operational excellence, agent-driven automation

Preferred skills

GPU/CUDA expertise, cloud cluster networking (VPC, BGP, CNI, eBPF), Infrastructure-as-Code (Terraform), leading multi-quarter initiatives

Technologies

Kubernetes, Linux, Cloud environments, Terraform, GPU clusters

Responsibilities

Run and evolve GPU clusters for scheduling and performance; Scale Kubernetes and networking stacks; Establish incident response and on-call health; Build automation for cluster lifecycle; Partner with research teams to optimize the platform.

Seniority

Senior, hands-on IC

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