RMZ
Website:
rmz.com
Company:
https://www.linkedin.com/company/rmz1
Seniority: Mid-Senior level
Industries: Data Infrastructure and Analytics
Job details:
Key responsibilities :-
- Client requirement discovery: lead workshops with client CIO/CTO and infrastructure teams to capture workloads, density profiles, power and cooling needs, network, interconnection and sovereignty requirements, and growth phasing
- HPC/AI solution design: architect end-to-end solutions for AI training and inference environments
- GPU compute cluster sizing and topology, storage throughput, and high-performance network fabrics mapped onto colocation space, power and cooling.
- Colocation engineering design: develop space and rack layouts, power topologies (N / N+1 / 2N), and cooling strategies including rear-door heat exchangers and direct-to-chip liquid cooling for 30–130 kW racks.– GPU & InfiniBand architecture: define rack-scale and pod-scale designs for NVIDIA HGX/DGX-class systems, including InfiniBand and RoCE fabric topologies (rail-optimised, fat-tree), cable plant planning and density zoning.
- Proposals & RFPs: author solution documents, BOMs, technical proposals and RFP/RFI responses; present and defend designs to client executive and engineering audiences.
- Techno-commercial support: partner with the commercial team on capacity pricing, fit-out scope splits (shell / powered shell / fully fitted), phasing and SLAs.
- Build alignment: work with the DC Infrastructure arm to ensure designs are buildable, costed and aligned to campus master plans.
- Strategic support: lead technical due diligence for anchor tenants and JV partners; mentor junior solution architects and build the solution engineering playbook.
Essential qualifications & experience (must-have)
- 10–15 years in data centre solution architecture, pre-sales engineering or design consulting, with a minimum of 3 years dedicated to HPC/AI solution design – designing, dimensioning and deploying GPU compute environments for AI training and inference workloads.
- Hands-on GPU and InfiniBand experience: NVIDIA HGX/DGX-class cluster architecture, InfiniBand (NDR/HDR) and RoCE fabric design, NVLink/NVSwitch awareness, and the facility implications ofdense GPU deployment (power, heat rejection, cabling).
- NVIDIA Certified Professional (NCP) architecture certification – e.g. NCP AI Infrastructure (NCP-AII) and/or NCP InfiniBand (NCP-IB); equivalent NVIDIA data centre architecture credentials considered with certification expected within the first six months.
- Deep colocation solutioning expertise: MV/LV power distribution, UPS and redundancy topologies (N / N+1 / 2N), chilled water, DX, rear-door heat exchanger and direct-to-chip liquid cooling systems, space planning and rack layout.– Proven client-facing record: requirement discovery workshops, solution documents and BOMs, executive presentations, and RFP/RFI leadership.
- Working knowledge of Uptime Institute Tier standards, TIA-942 and ASHRAE thermal guidelines, plus the Indian power and regulatory context (power procurement, open access, DISCOM engagement).
- Ability to build techno-commercial models with the revenue team: capacity pricing, phasing and fit-out scope.– Bachelor’s degree in Electrical, Mechanical, Electronics or related engineering discipline.
Click on Apply to know more.
