AI Infrastructure Automation Engineer for Cluster Control

CommonAI C.I.C.; Town of Cambridge; Hybrid; AUD 125,000 - 192,000; Full time

Benefits offered by this job

Collaborative culture

High impact role

Pension benefits

Professional development

Networking access

Cambridge office

Job summary

CommonAI CIC in Cambridge is seeking engineers to build software that configures and controls AI infrastructure for reproducible experiments. You will expose cluster controls through interfaces and automate setup across the stack, including workload placement and serving settings.

You will ensure reliable execution with precondition checks, record outcomes for reproducibility, and coordinate access with operators. Hybrid work arrangements and a path to impactful, scalable tooling are offered.

Qualifications

• Experience building systems software or automation that configures real computing infrastructure.
• Strong programming and debugging skills with practical understanding of Linux.
• Depth in cluster/HPC automation, distributed systems, orchestration, or device control.
• Practical experience using AI coding agents, with the judgement to validate generated code and test changes that affect hardware or infrastructure.
• Experience with accelerators, job-control systems, Kubernetes, Slurm, operating systems (NixOS, CoreOS) or IaC tools (Terraform/OpenTofu).

Responsibilities

• Identify the controls on the selected clusters and expose them via documented, programmatic interfaces.
• Automate configuration and experiment setup across the stack (workload placement, serving settings, resource allocation).
• Build reliable execution with precondition checks, confirmation of the resulting state, error handling and recovery to a known configuration.
• Record requested actions, outcomes and resulting configuration for reproducibility and interpretation of measurements.
• Coordinate access, permissions and changes with cluster operators, testing success, failure and recovery paths.
• Design interfaces for future optimisation software with clear capability limits and outcomes.
• Build an interface for changing serving configurations and demonstrate repeatable experiments across configurations.
• Collaborate with measurement and simulation engineers and cluster operators.

Skills

Systems software

Automation

Distributed systems

Linux

Kubernetes

HPC automation

AI coding agents

OpenTofu

Terraform

OpenTofu

Tools

Kubernetes

Slurm

NixOS

CoreOS

Terraform

OpenTofu

Job description

CommonAI CIC in Cambridge is seeking engineers to build software that configures and controls AI infrastructure for reproducible experiments. You will expose cluster controls through interfaces and automate setup across the stack, including workload placement and serving settings.

You will ensure reliable execution with precondition checks, record outcomes for reproducibility, and coordinate access with operators. Hybrid work arrangements and a path to impactful, scalable tooling are offered.