Engineer the Infrastructure for Abundant Intelligence.
We are assembling the physical, electrical, and systems engineering teams building India's largest sovereign AI compute factory network.
Primary Deployment Hubs
Cluster Power Scale
Frontier Hardware Fleet
Institutional Backing
Join the Buildout
Positions open across physical data centre architecture, high-voltage power, AI networking, and GPU systems operations.
Data Center Infrastructure Architect
Lead the electrical, thermal, and spatial architecture for 5MW to 100MW+ GPU data centre sites across Mumbai and Chennai.
Key Responsibilities
- Lead physical data centre engineering
- Coordinate with power utilities and Tier-IV operators
- Design liquid-cooling topologies
Data Center Infrastructure Architect
Lead the electrical, thermal, and spatial architecture for 5MW to 100MW+ GPU data centre sites across Mumbai and Chennai.
Key Responsibilities
- Lead physical data centre engineering and capacity expansion.
- Coordinate with power utilities and Tier-IV data centre operators.
- Design liquid-cooling topologies and high-density rack power distribution.
Key Domain Skills
High-Density Power Systems Specialist
Design and oversee multi-megawatt substation interconnects, UPS systems, and generator backup systems tailored for continuous Blackwell B300 and GB300 loads.
Key Responsibilities
- Architect MW-scale power incoming feeds and redundant electrical buses.
- Manage substation approvals and grid compliance.
- Optimize energy efficiency and power factor for sustained AI training loads.
Key Domain Skills
InfiniBand / RoCE AI Network Architect
Engineer ultra-low-latency 3.2 Tbps Quantum-2 InfiniBand and Spectrum-X RoCE fabrics interconnecting multi-thousand GPU SuperPOD clusters.
Key Responsibilities
- Design non-blocking rail-optimized cluster topologies.
- Tune congestion control (PFC, ECN) for distributed LLM training.
- Monitor optical transceivers, link error rates, and fabric telemetry.
Key Domain Skills
GPU Systems Deployment Lead
Drive turnkey deployment of NVIDIA Blackwell and AMD Instinct server racks from unboxing and cabling to burn-in testing and offtake handoff.
Key Responsibilities
- Manage rack installation, cabling, and BMC/IPMI configuration.
- Execute NCCL all-reduce and GPU burn-in benchmark suites.
- Coordinate fast-track handover to neo-cloud customer workloads.
Key Domain Skills
Physical Execution at Institutional Scale
Real-World Infrastructure
We don't build software dashboards for imaginary clouds. We deploy steel, transformers, chillers, and liquid-cooled SuperPODs that power real frontier intelligence.
Extreme Ownership
From substation grid interconnections to optical transceiver telemetry, our engineers own full execution without corporate bureaucracy.
Foundational Impact
India's AI future depends on sovereign compute availability. Your work directly establishes the computing baseline for the next generation of LLMs.
Ready to build at megawatt scale?
If you don't see an exact opening that matches your background but have deep experience in data centres or GPU clusters, send us your profile.