HPC Engineer

This is a unique opportunity to help shape the future of advanced research infrastructure at one of the world’s leading academic institutions. You’ll be responsible for developing and supporting a next generation GPU driven HPC platform that underpins research across multiple disciplines. The environment is hybrid, combining on prem GPU clusters with AWS cloud resources and is designed to support everything from AI/LLM projects to advanced data-driven research.

This is a hands-on, technical role where you’ll contribute to architecture, automation, and day to day operations. You’ll also have significant influence over design decisions and future direction as the team expands.

Key Responsibilities

• Manage and optimise GPU clusters (including the latest H200 hardware).
• Build and maintain hybrid HPC environments (on-prem + AWS).
• Implement Infrastructure-as-Code and DevOps tooling to drive scalability.
• Support researchers with access to high-performance compute resources for AI, machine learning, and large-scale data projects.
• Help shape the development of a new advanced HPC system from the ground up.

• Strong hands-on experience with HPC environments, particularly GPU clusters.
• Familiarity with hybrid infrastructures (on-prem and cloud - AWS preferred).
• Knowledge of DevOps tools, automation, and Infrastructure-as-Code.
• Ability to work collaboratively with researchers and technical colleagues.
• A proactive, problem-solving mindset with a desire to innovate.

This is Hybrid working: at least 2 days on-site in central London, with the opportunity to design and shape a new, advanced HPC system in a greenfield environment, working at the intersection of research, AI, and high-performance computing.If you’re excited by the idea of building world class HPC infrastructure and want to work with cutting edge GPUs, AI, and cloud technologies, we’d love to hear from you.