Cluster Architect
Design and deploy GPU-native AI supercomputers, creating low-level hardware and datacenter blueprints while collaborating with vendors and engineering teams to turn designs into production-grade systems.
- Compensation
- Not disclosed
- Location
- London
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Architecture
- Posted
Skills
Must have
- BSc in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or other related Engineering fields.
- 5+ years of solution architecture experience, demonstrating motivation and skills to drive technical design and delivery processes.
- Deep expertise in GPU systems, high performance networking (like InfiniBand), including a proven understanding of network topologies and storage architecture.
- Proficiency in system-level aspects, encompassing Operating Systems, Linux kernel drivers, GPUs, NICs, and infrastructure software solutions.
- Demonstrated experience producing detailed infrastructure designs (including network topologies, rack layouts, BoMs, power/cooling planning)
- Deep understanding of the interafce between datacenter and GPU supercomputers (power/cooling constraints, failure modes)
- Good understanding in datacenter fit-out, datacenter engineering (mechanical, eletrical, constraints)
- Excellent interpersonal and communication skills, with a track record interfacing with various types of stakeholders (engineering/operations teams, vendors, etc.) and writing clear deliverables.
- Comfortable working in fast-moving, high-complexity technical environments.
Nice to have
- Prior work experience in HPC, Telco, or hyperscale supercomputing environments designing, delivering, and/or operating large scale HPC systems.
- 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, including platforms like Kubernetes, Docker Swarm, and HPC-specific schedulers such as Slurm.
- Knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes, datacenter compute/network/storage deployments.
- Hands-on experience with NVIDIA systems/SDKs (e.g., CUDA), NVIDIA Networking technologies (e.g., DPU, RoCE, InfiniBand), ARM CPU solutions, coupled with proficiency in C/C++ programming, parallel prog
Full description
About Radiant
Radiant is redefining how AI infrastructure is built.
We design and operate AI-native cloud platforms engineered for sovereignty, performance, and scale. Our infrastructure powers GPU-native workloads, multi-tenant control planes, and high-performance AI systems designed for the most demanding environments.
We are not building a generic cloud. We are building purpose-built AI infrastructure - from powered land, to compute, to software .
As we scale our platform and expand our engineering organisation, we are looking for leaders who can build strong teams, uphold high standards, and deliver reliably at pace.
As part of the Infrastructure Solutions team, the Cluster Architect is the tip of the spear leading Radiant’s new GPU deployments. The Cluster Architect contributes to the technical strategy, reference architecture, and governance standards underpinning Radiant's GPU compute platform. They translate the high-level designs provided by the Customer Success organization into fully operational supercomputers. In conjunction with the Datacenter Engineering team, they lead the definition of the low-level design of upcoming high-performance computing (HPC) and artificial intelligence (AI) infrastructure deployments.
You must be a solution finder, able to adapt to evolving technology and customer requirements, and be ready to handle scale. The right person for this role will be technically focused and detail-oriented, and able to work with the broader team to successfully deliver some of the world’s largest supercomputers at a rapid pace with precision. It is critical to document each step of the process to enable effective communication with internal and external stakeholders.
About the Infrastructure Team
The Infrastructure Engineering team spearheads the strategy, roadmap, and delivery of critical HPC/AI infrastructure to the broader Technology and Customer organizations. Its mission is to deploy scalable, secure, and efficient infrastructure solutions tailored to the organization's strategic needs. The team defines Radiant’s supercomputers’ reference architecture in line with the customer, software, and operational requirements of the company.
They work closely with third-party suppliers to provide and maintain the list of technologies that form part of Radiant’s portfolio of offerings.
They provide technical support throughout the procurement process with vendors to ensure the suitability of RFI/RFP responses.
They work in tandem with OEMs and infrastructure providers during the infrastructure rollout, and providing technical inputs to DC providers and OEMs
They work closely with the program management office, and align the hardware infrastructure rollout programs with the parallel datacenter fitout and software engineering programs.