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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Infrastructure Engineer (GPU & Compute) - **Company:** Lightning AI - **Location:** London, UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Systems Engineering, Intelligent Platform Management Interface, Data Centers, Software Debugging, Linux, Firmware, IBM Hardware Management Console, Image Management, InfiniBand, Python (Programming Language), System Software, System Testing, Graphics Processing Unit (GPU), High Performance Computing, Bare Metal - **Published:** July 22, 2026 - **Apply:** https://uk.indeed.com/viewjob?jk=13c77f57db3e35b8 ## About the Role * 5+ years of experience in infrastructure engineering, systems engineering, or related roles * Strong Linux systems experience in production environments * Hands-on experience with GPU-enabled systems and tools such as NVIDIA DCGM * Familiarity with bare-metal provisioning and system bring-up workflows * Proficiency in Python or similar scripting/programming languages for automation * Ability to debug complex issues across hardware, OS, GPUs, and system software, * Experience with high-performance interconnects (e.g., InfiniBand, NVLink) * Experience with PXE boot environments, LiveCD systems, or image-based provisioning workflows * Experience with hardware management interfaces such as iDRAC, IPMI, or Redfish * Data center operations experience, including working with physical hardware * Experience supporting AI/ML or HPC workloads at scale * Experience with GPU validation frameworks or large-scale hardware qualification processes ## Description In this role, you will own image management, system diagnostics, and validation across large-scale bare-metal compute infrastructure, with a particular focus on GPU-enabled systems. You will work at the intersection of hardware, systems, and software-developing automation, improving reliability, and enabling efficient cluster bring-up for AI/ML and HPC workloads. You will play a key role in owning and evolving our image pipeline, running validation environments and test clusters, and supporting both system-level and GPU hardware qualification. This role is critical to ensuring that our infrastructure is consistent, performant, and ready to support demanding AI workloads from day one. This role is based in one of our hubs (NYC, SF, Seattle, or London), with a minimum of 2 in-office days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time., * Own and evolve systems for image management, deployment, and validation across bare-metal infrastructure * Run and maintain test clusters used for system validation, diagnostics, and bring-up * Validate firmware, drivers, and OS images across compute and GPU-enabled systems * Support hardware qualification efforts for next-generation platforms, * Diagnose and resolve complex issues across GPUs, drivers, OS, and hardware layers * Analyze system and GPU performance using tools such as NVIDIA DCGM * Identify failure patterns and drive improvements in system stability and validation coverage, * Build and maintain automation for provisioning, validation, and system bring-up * Develop Python-based tools and workflows to improve efficiency and reduce manual operational overhead * Improve the reliability, repeatability, and scalability of image pipelines and validation systems, * Partner with Infrastructure, Hardware, and Data Center teams on system bring-up and validation * Collaborate with platform and ML teams to ensure systems meet workload requirements * Contribute to best practices for provisioning, diagnostics, and lifecycle management of infrastructure ## Related Videos - [The Gashlycrumb Tinies of AI Networking You Must Know (or Languish!)](https://www.wearedevelopers.com/videos/2067-the-gashlycrumb-tinies-of-ai-networking-you-must-know-or-languish) - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [Playing Pong on a shoulder press machine](https://www.wearedevelopers.com/videos/100140-playing-pong-on-a-shoulder-press-machine) - [AI Factories at Scale](https://www.wearedevelopers.com/videos/1139-ai-factories-at-scale) - [Docker exec without Docker](https://www.wearedevelopers.com/videos/1094-docker-exec-without-docker) - [Your Next AI Needs 10,000 GPUs. 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