Senior Compute Infrastructure Engineer – AI Training & LLMs

Inherentlabs; Greater London; On-site; GBP 70,000 - 90,000; Full time

Benefits offered by this job

Good lunch and dinner

Collaborative work culture

No bureaucracy

Job summary

Inherentlabs is looking for a Member of Technical Staff in Compute Infrastructure to shape AI research operations. You’ll run GPU clusters, scale the cloud stack, and ensure operational excellence in a dynamic lab environment.

Your expertise in Kubernetes, Linux, and network systems will be crucial in enabling breakthrough discoveries together with top researchers. If you are passionate about building future AI technology and fostering collaborative environments, we encourage you to apply.

Qualifications

• Experience operating infra at scale, preferably for LLM workloads.
• Depth in Kubernetes internals, cluster provisioning, and orchestration systems.
• Comfortable across the stack: Kubernetes, Linux, networking, containers, cloud environments.
• Strong systems thinking: you care about reliability, performance, and operational clarity.
• Good taste: you know when to build, when to buy, and when to delete.

Responsibilities

• Run and evolve GPU clusters: scheduling, utilisation, debugging, performance.
• Scale the Kubernetes / Linux / networking / cloud stack end‑to‑end.
• Establish operational excellence: incident response, postmortem culture, on‑call health.
• Build agent‑driven automation for cluster lifecycle, provisioning, and remediation.
• Partner directly with the research team to optimise the platform.

Skills

Operating infra at scale

Kubernetes internals and orchestration

Comfort with Linux and networking

Strong systems thinking

Good taste in tech choices

Tools

Kubernetes

Linux

Cloud environments

Terraform

Job description

Inherentlabs is looking for a Member of Technical Staff in Compute Infrastructure to shape AI research operations. You’ll run GPU clusters, scale the cloud stack, and ensure operational excellence in a dynamic lab environment.

Your expertise in Kubernetes, Linux, and network systems will be crucial in enabling breakthrough discoveries together with top researchers. If you are passionate about building future AI technology and fostering collaborative environments, we encourage you to apply.