Solutions Engineering Manager

About RHAELM

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.

This Role

You will design, deploy, and support the critical infrastructure that powers our next-generation AI compute environments in Japan. Sitting at the intersection of high-density compute, advanced cooling, and power infrastructure, you'll work directly with customers to translate demanding, fast-evolving AI workload requirements into resilient, buildable datacenter solutions.

You'll be a technical anchor across the customer lifecycle — absorbing Basis of Design (BOD) documents, validating engineering approaches, and ensuring what gets built actually performs and holds up in operation.

Key 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 (direct-to-chip, rear-door heat exchangers, immersion) for high-density GPU racks, including CDUs, manifolds, coolant distribution, and leak detection

• Partner with customers to plan rack/row layouts, power and cooling budgets, and physical infrastructure for GPU clusters at increasing power densities (30kW+ per rack and beyond)

• Support integration of Battery Energy Storage Systems and related power architecture (UPS, switchgear, backup generation) for resilient, efficient 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, including failure mode analysis and N+1/2N redundancy strategies

• 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

Experience

• 10+ years in datacenter infrastructure, critical facilities, or mission-critical engineering environments

• Hands-on experience with liquid cooling technologies (direct-to-chip, immersion, rear-door heat exchangers) in high-density compute environments

• Working knowledge of GPU cluster infrastructure requirements (power, cooling, networking) 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 (Tier III/IV or equivalent)

• 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

Qualifications

• 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