Research Infrastructure Engineer - AI, HPC & Kubernetes

University College London; Greater London; Hybrid; GBP 39,000 - 62,000; Full time

Benefits offered by this job

London Allowance

Hybrid work

41 days holiday

Pension scheme

Cycle to work

Relocation loans

On-site nursery

Gym access

Job summary

University College London invites applications for a role within the Centre for Advanced Research Computing (ARC) to provide first-line support for researchers, troubleshoot Linux environments, Kubernetes, AI platforms and GPU-enabled services, and help shape robust platform operations.

The successful candidate will collaborate with researchers, contribute to documentation, and help implement metrics and support processes, with hybrid working including on-site presence in London.

Qualifications

• Experience working in Linux environments.
• Background in research computing, HPC, or a related technical field.
• Programming skills for scripting, automation, troubleshooting, and operational support.
• Strong problem-solving skills and the ability to apply them to support researcher needs.
• Ability to communicate technical concepts effectively to researchers and non-specialists.
• Ability to support the organisation of webinars and remote and in-person training activities.
• Knowledge of AI/ML infrastructure and workflows.
• Experience with GPU-enabled systems and scheduling technologies, Kubernetes, and containerised environments.
• Familiarity with monitoring, performance analysis, and service management practices.
• Experience developing operational metrics and support processes.

Responsibilities

• Provide first-line support to researchers.
• Troubleshoot Linux environments, Kubernetes clusters, AI platforms, GPU-enabled services, and research workloads.
• Assist with platform administration and maintenance.
• Monitor service performance, reliability, and utilisation.
• Help define and implement metrics, procedures, and support processes.
• Work closely with researchers to understand and improve their experience.
• Contribute to documentation, knowledge sharing, and continuous service improvement.

Skills

Linux

Scripting

Kubernetes

AI/ML infra

GPU systems

Monitoring

Service mgmt

Research HPC

Communication

Tools

Kubernetes

Job description

University College London invites applications for a role within the Centre for Advanced Research Computing (ARC) to provide first-line support for researchers, troubleshoot Linux environments, Kubernetes, AI platforms and GPU-enabled services, and help shape robust platform operations.

The successful candidate will collaborate with researchers, contribute to documentation, and help implement metrics and support processes, with hybrid working including on-site presence in London.