Global AI Compute, HPC & Cloud Infra Architect

Job

521836

Posted since

15-Sep-2026

Organization

Smart Infrastructure

Field of work

Research & Development

Company

Experienced Professional

Job type

Full-time

Office/Site only

Employment type

Permanent

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AI Factory Compute & IT Infrastructure Architect

Position Overview

The AI Factory Compute & IT Infrastructure Architect will serve as a global technical authority for compute, networking, storage, memory, and IT infrastructure architecture within Siemens' AI Factory organization. The role will track how AI, hyperscale, cloud, HPC, and enterprise platforms are evolving and convert those changes into actionable AI Factory reference architectures and go-to-market guidance. The successful candidate will bring practical experience building or architecting large-scale compute, network, and storage environments and enough data-center fluency to translate upstream IT decisions into clear implications for power, cooling, controls, physical topology, resiliency, and deployment strategy.

A critical responsibility is to partner with electrical, thermal/liquid cooling, controls & automation, digital thread, and regional Solutions Architects, rack density, cluster topology, network fabrics, storage architecture, and workload behavior are accurately reflected in the complete AI Factory architecture.

Key Responsibilities

• Serve as the technical authority for AI, HPC, cloud, and enterprise infrastructure architectures.
• Evaluate emerging processor , accelerator , networking, memory, and storage technologies and assess their impact on AI Factory designs.
• Develop scalable reference architectures spanning compute , storage, networking, racks, clusters, and data hall environments.
• Translate IT infrastructure requirements into actionable inputs for electrical, cooling, controls, and facility design teams.
• Partner with customers, hyperscalers , enterprises, and technology partners on infrastructure strategy and architecture planning.
• Develop technical guidance, architecture frameworks, and thought leadership content supporting sales and go-to-market initiatives.

Basic Qualifications

• Bachelor’s degree in Computer Science , Computer Engineering, Information Technology, or a related technical discipline;
  Master’s preferred.
• 1 0 + years of experience in compute infrastructure, networking, storage, cloud, HPC, enterprise systems, or hyperscale environments.
• 5+ years in architecture, principal engineering, technical leadership, or equivalent roles.
• Experience with AI infrastructure, accelerated computing, HPC, hyperscale, or high-density data centers.
• Strong customer-facing communication and stakeholder management skills.
• Ability to travel up to 30-50%.

Technical Expertise

• Large-scale compute , AI, HPC, cloud, or hyperscale…