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CommonAI CIC

Systems Software Engineer, Cluster Control – Automation

CommonAI CIC

. Identify controls available on selected clusters and expose them through documented programmatic interfaces .

Posted 10/23/2026full-timeCambridge • United KingdomMid-LevelSenior💰 £60,000 - £105,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in building systems software and automation for configuring and controlling computing infrastructure, with a strong focus on Linux environments and distributed systems. Proficient in using AI coding agents for code validation and testing infrastructure changes.

Highest-signal resume keywords
Systems Software DevelopmentCluster AutomationLinux ProficiencyAI Coding Agents ExperienceKubernetes Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Programming SkillsDebugging SkillsExperiment-Control SoftwareOrchestrationDevice ControlNetworkingResource AllocationError HandlingState ConfirmationConfiguration Management
Soft Skills
Problem-SolvingJudgment in Code Validation
Tools & Technologies
KubernetesTerraformOpenTofuNixOSCoreOSJob-Control SystemsAccelerators
Industry Keywords
Distributed SystemsHPC AutomationConfiguration InterfacesCluster Operators CoordinationExperimental Scope Testing

Tech Stack

Tools & technologies
Distributed SystemsKubernetesLinuxTerraform

About the role

Key responsibilities & impact
  • Identify controls available on selected clusters and expose them through documented programmatic interfaces
  • Automate configuration and experiment setup across workload placement, serving settings, resource allocation, and device configuration
  • Build reliable execution with precondition checks, state confirmation, error handling, and recovery
  • Record requested actions, outcomes, and resulting configuration for reproducible experiments
  • Coordinate access, permissions, and changes with cluster operators
  • Test success, failure, and recovery paths within the experimental scope
  • Design interfaces for future design-space optimisation software
  • Build an interface for serving-configuration changes and demonstrate repeatable experiments across configurations

Requirements

What you’ll need
  • Experience building systems software or automation that configures and controls real computing infrastructure
  • Strong programming and debugging skills
  • Practical understanding of Linux and relevant hardware/software interfaces
  • Depth in one or more of: cluster or HPC automation, distributed systems, orchestration, device control, networking, or experiment-control software
  • Ability to reason about partial failure, state, permissions, and consequences of changing a running system
  • Practical experience using AI coding agents, with judgement to validate generated code and test infrastructure or hardware changes
  • Experience with accelerators, job-control systems, Kubernetes, operating systems such as NixOS or CoreOS, or IaC tools such as Terraform/OpenTofu would be useful
  • Applicants must be based in the UK; applicants across the UK are welcome

Benefits

Comp & perks
  • Competitive salary package, including pension and benefits
  • Professional development opportunities
  • Networking opportunities with influential figures from across the tech sector and academia
  • Substantial tooling budget for frontier models and coding agents
  • Collaborative and supportive work environment
  • High-impact opportunity in a growing organisation
  • Hybrid working with regular time in Cambridge agreed individually
  • Flexible part-time arrangements and consultancy options
  • Vibrant office environment a few minutes’ walk from Cambridge train station