Remote job
AI Infrastructure Engineer
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About this role
Role overview
The source describes a forward-deployed engineering role embedded with a customer running AI infrastructure software in production. The engineer owns deployment and operational problem-solving in GPU or XPU environments, then works with engineering teams to turn field findings into product improvements and support future evaluations.
Responsibilities - Operate as the technical owner for a customer production deployment across accelerator clusters, high-speed networks, schedulers, and orchestration layers. - Lead integration, troubleshooting, performance tuning, upgrades, cluster expansion, and root-cause analysis. - Build scripts, automation, runbooks, and integration guides tailored to the deployment. - Convert customer issues into actionable requirements and collaborate with product and engineering on feature delivery. - Contribute to technical evaluations, proof-of-concept deployments, reference designs, and customer briefings.
Requirements - At least five years in hands-on infrastructure engineering, SRE, platform engineering, solutions architecture, or a similar role with customer exposure. - Demonstrated experience operating AI datacenter infrastructure, including accelerator clusters, high-speed interconnects, schedulers, and training or inference workloads. - Strong Linux, container, API, and distributed-systems debugging skills. - Ability to build production-quality tools with Python and Bash and work with infrastructure platforms such as Kubernetes or Slurm. - Clear technical communication and willingness to work on-site with a customer and travel as needed.
Nice to have - Experience supporting a large customer as an embedded engineer or deploying early-stage products in large-scale AI environments. - Knowledge of inference-serving optimization, GPU utilization, or KV-cache behavior. - Familiarity with observability tools such as Prometheus, Grafana, or OpenTelemetry.
Benefits and work setup - The source lists this role as on-site at a customer office in Cambridge, UK, with a target base salary of £115,000–£135,000 per year plus equity. The provided role details identify it as a forward-deployed engineering position.