Cluster Architect

The role

The Cluster Architect leads GPU deployments by contributing to technical strategy, reference architecture, and governance standards. They translate high-level designs into operational supercomputers and lead the low-level design of HPC and AI infrastructure.

What you will do

• Translate inputs into reference architecture and low-level design blueprints.
• Lead the low-level design of high-density AI supercomputer systems.
• Participate in the Architecture Review Board.
• Evaluate tradeoffs between performance, power, cooling, serviceability, and cost.
• Drive the creation of detailed low-level designs including rack layouts and power distribution.
• Drive technical evaluations and response accuracy from vendors during RFx processes.
• Perform hands-on manufacturing, burn-in, cabling, and logical configuration.
• Drive acceptance criteria with quality, reliability, safety, and performance goals.
• Work with Software and Solutions Engineering to support AI workload requirements.
• Produce architecture diagrams, configuration documentation, runbooks, and operational guidance.

Required qualifications

• BSc in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or other related Engineering fields.
• 5+ years of solution architecture experience.
• Deep expertise in GPU systems and high performance networking like InfiniBand.
• Proven understanding of network topologies and storage architecture.
• Proficiency in system-level aspects including Operating Systems, Linux kernel drivers, GPUs, NICs, and infrastructure software solutions.
• Demonstrated experience producing detailed infrastructure designs.
• Deep understanding of the interface between datacenter and GPU supercomputers.
• Good understanding in datacenter fit-out and datacenter engineering.
• Excellent interpersonal and communication skills.
• Comfortable working in fast-moving, high-complexity technical environments.

Nice to have

• Prior work experience in HPC, Telco, or hyperscale supercomputing environments.
• Work or research experience in networking fundamentals, TCP/IP stack, and data center designs.
• Familiarity with monitoring/telemetry systems and observability for infrastructure health.
• Demonstrated expertise in cloud orchestration software and job schedulers like Kubernetes, Docker Swarm, and Slurm.
• Knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes, datacenter compute/network/storage deployments.
• Hands-on experience with NVIDIA systems/SDKs, NVIDIA Networking technologies, ARM CPU solutions, C/C++ programming, parallel programming, and GPU development.

Benefits

• 25 days of annual leave
• Dedicated learning time
• Private medical insurance via Bupa
• Cycle to Work Scheme
• Gympass subscription
• Participation in the company shares program
• Enhanced parental pay & leave

About the company

Radiant designs and operates AI-native cloud platforms engineered for sovereignty, performance, and scale. They build purpose-built AI infrastructure from powered land to compute and software.