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Principal Solutions Architect

Other Full-time Permanent Ireland, Norway, Poland, United Kingdom

Job details

Not specified Salary
Ireland, Norway, Poland, United Kingdom Eligibility
Principal Experience
Full-time Employment

About this role

Role overview Design and deliver end-to-end GPU infrastructure for demanding AI workloads, translating customer needs into scalable technical solutions. The role spans compute, networking, storage, data centre design, orchestration, performance validation, and deployment readiness, with close collaboration across customers and engineering teams.

Responsibilities - Design GPU clusters, including rack layouts, power and cooling, and GPU interconnect configurations. - Architect high-performance network fabrics, storage, data pipelines, and orchestration for AI training and inference. - Turn customer requirements into detailed architectures, specifications, and reference designs; advise on technical trade-offs. - Coordinate with engineering and deployment teams to confirm feasibility and meet performance, reliability, and operational needs. - Plan and lead cluster acceptance tests and performance benchmarking; investigate issues across multi-node systems. - Use automation and AI tools to accelerate architecture development, validation, bills of materials, and deployment preparation.

Requirements - Strong experience designing GPU, HPC, hyperscale cloud, or AI infrastructure solutions. - Knowledge of GPU cluster design, high-speed interconnects, and networking such as InfiniBand, Ethernet, or RoCE. - Experience with infrastructure orchestration and provisioning, such as Kubernetes, Slurm, or bare-metal systems. - Ability to validate GPU cluster performance, including benchmarking with NCCL or comparable tools, and troubleshoot multi-node issues. - Strong customer-facing communication and the ability to turn workload needs into practical technical designs. - Collaborative, accountable approach to complex work in a fast-moving environment.

Nice to have Experience in solution architecture, presales engineering, or technical advisory work; familiarity with observability and GPU health tooling such as Prometheus, Grafana, or DCGM; and experience applying AI-assisted engineering or infrastructure automation.

Benefits and work setup The listing describes a flexible workplace, a compensation package combining base pay and equity, annual compensation reviews, and a progression plan.

Skills detected in the listing

PythonGoData EngineeringKubernetesTerraformLLM
Detected Oct 12, 2026
Last verified Oct 28, 2026

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