Job Description
Key responsibilities
– Participate in client requirement-gathering sessions with hyperscalers, neo clouds, BFSI, GCCs and AI-native companies; capture and structure technical requirements.
– Prepare rack layouts, space plans, single-line concepts and capacity/phasing models under senior guidance, including high-density GPU zones.
– Support HPC/AI solution design work: GPU cluster bills of material, InfiniBand/Ethernet fabric cable schedules, and power/cooling load calculations for dense racks.
– Build and maintain BOMs, solution templates and pricing inputs for proposals; draft sections of technical proposals and RFP/RFI responses.
– Coordinate with the DC Infrastructure team on design feasibility, costing inputs and site data.
– Maintain the solution engineering knowledge base: standard designs, density and cooling reference configurations, competitor benchmarks.
– Support site visits, client walkthroughs and technical Q&A.;
Essential qualifications & experience (must-have)
– 2–5 years in data centre design, MEP consulting, colocation operations engineering, or pre-sales support for DC/IT infrastructure.
– Working knowledge of DC fundamentals: power chains (UPS, PDU, redundancy concepts), cooling approaches (CRAC/CRAH, chilled water, awareness of liquid cooling), rack and space planning.
– Foundational exposure to HPC/AI infrastructure: understanding of GPU server platforms and high-performance networking concepts (InfiniBand vs Ethernet/RoCE), with genuine motivation to specialise in AI data centre solutioning.
– Proficiency with AutoCAD/Revit or similar layout tools; strong Excel for capacity and BOM modelling.
– Clear technical documentation and presentation skills (PowerPoint/Word); comfort in client-facing settings.
– Bachelor’s degree in Electrical, Mechanical, Electronics or related engineering discipline.