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About the Role
Design, deploy, and support critical infrastructure for next-generation AI compute environments in Japan. This role sits at the intersection of high-density compute, advanced cooling, and power infrastructure, working directly with customers to translate AI workload requirements into resilient datacenter solutions. You will act as a technical anchor throughout the customer lifecycle, validating engineering approaches and ensuring operational performance.
Responsibilities
- Engage with design, infrastructure, and customer teams to ensure all requirements and performance expectations are fully understood.
- Design, specify, and support deployment of liquid cooling solutions for high-density GPU racks.
- Partner with customers to plan rack/row layouts, power and cooling budgets, and physical infrastructure for GPU clusters.
- Support integration of Battery Energy Storage Systems and related power architecture for resilient power delivery.
- Lead or co-author customer Basis of Design documents, capturing workload requirements, density targets, redundancy needs, and site-specific constraints.
- Track evolving GPU platforms, cooling technologies, and power architectures, assessing new technologies for suitability, risk, and integration.
- Design for uptime, fault tolerance, and graceful degradation across power, cooling, and network systems.
- Work across mechanical, electrical, and controls disciplines to ensure integrated system design meets performance, safety, and compliance requirements.
- Develop maintenance strategies and support commissioning, troubleshooting, and root-cause analysis for cooling, power, and compute infrastructure.
- Act as a trusted technical advisor to customers and internal stakeholders throughout design, build, and operational phases.
Requirements
- 10+ years in datacenter infrastructure, critical facilities, or mission-critical engineering environments.
- Hands-on experience with liquid cooling technologies in high-density compute environments.
- Working knowledge of GPU cluster infrastructure requirements for AI/ML training and inference workloads.
- Familiarity with Battery Energy Storage Systems and their integration into datacenter power architecture.
- Experience developing or contributing to customer-facing Basis of Design documentation.
- Strong understanding of resilience engineering principles — redundancy, failure mode analysis, uptime SLAs.
- Experience with hyperscale or colocation datacenter deployments supporting AI/ML infrastructure is a plus.
Skills
- Ability to communicate complex technical concepts clearly to both engineering and non-engineering stakeholders.
- Comfort operating in a fast-moving environment where technology and customer requirements evolve quickly.
- Cross-disciplinary fluency across mechanical, electrical, and controls engineering.
- Familiarity with datacenter DCIM/BMS platforms and monitoring tools.
- Exposure to renewable or on-site generation integration alongside BESS.
Location
- Japan
Work Type
- Onsite
Experience Level
- 10+ years
Education Level
- Bachelor's degree in Mechanical, Electrical, or related Engineering discipline (or equivalent practical experience)
- Professional Engineer (PE) license desirable
- Certifications such as CDCP, CDCS, ATD, or equivalent datacenter/critical facilities credentials desirable
About the Company
- RHAELM is the sovereign AI cloud built to accelerate AI deployment at scale.
- Solving the defining constraint of power availability, RHAELM delivers gigawatt-scale AI infrastructure pipelines across Europe and APAC – providing ring-fenced compute, networking, and storage optimised for high-performance AI workloads.
- Sovereignty is RHAELM's core operating model. Every deployment operates in-country with local personnel, giving enterprise and public-sector organisations operational control without compromising on cutting-edge technology.
- From bare metal and Kubernetes to AI as a Service, RHAELM puts power, infrastructure, and platform capability under the customer's command.