AI Infrastructure Automation Engineer for Cluster Control
- Location
- Cambridge, England, United Kingdom
control real AI infrastructure for reproducible experiments. You will turn the capabilities of our experimental clusters into programmatic controls for changes such as workload placement, resource allocation and inference-serving configuration. The engineering challenge is making those changes dependable: understanding the current state, checking whether an action … expose them through documented, programmatic interfaces with clear supported actions. - Automate configuration and experiment setup across relevant parts of the stack, such as workload placement, serving settings, resource allocation or device configuration. - Build reliable execution with precondition checks, confirmation of the resulting state, error handling and recovery ...