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Project Director - HPC / AI / GPU Infrastructure Deployment

at Larsen & Toubro

Chennai, India Senior Posted 2026-05-27

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About this role

Role Overview We are seeking a seasoned Project Director – HPC / AI Infrastructure Deployment to lead large-scale, high-density compute programs involving GPU clusters, HPC workloads, and AI infrastructure. The role demands end-to-end ownership of deploying 10+ MW IT load data center environments, ensuring delivery of high-performance GPU-based compute platforms with cutting-edge networking and storage architectures. Roles & Responsibilities Lead and deliver large-scale HPC / AI GPU cluster deployments (e.g., NVIDIA B200 / B300 GPU platforms) within defined timelines and budgets Drive execution of AI stack deployment (e.g., NVIDIA NVAIE) across hybrid/cloud/on-prem environments Manage multi-vendor ecosystems including OEMs, SI partners, and hyperscale technology providers Deploy and scale high-density GPU racks with liquid/air-cooled thermal strategies Design and oversee InfiniBand (IB) and high-speed Ethernet networks Experience with NVIDIA/Mellanox InfiniBand fabrics Configuration and optimization using UFM (Unified Fabric Manager) Strong understanding of BCM (Broadcom Ethernet switching) platforms Architect and implement Leaf-Spine network topology for ultra-low latency AI workloads Ensure effective integration of storage systems (parallel file systems, NVMe-based storage) Oversee deployment of Kubernetes-based GPU orchestration platforms Experience with containerized AI workloads and distributed training clusters Exposure to NVIDIA AI Enterprise (NVAIE), CUDA, and GPU virtualization frameworks Manage data center design, build, and repurposing for HPC workloads Oversee MEP (Mechanical, Electrical, Plumbing) systems implementation Enure optimized thermal management (liquid cooling, rear door heat exchangers, immersion cooling where applicable) Ensure optimized power density (kW/rack) planning Ensure optimized energy efficiency (PUE optimization) Establish robust governance frameworks aligned to: a. HLD/LLD design validation b. SOP adherence c. Quality assurance benchmarks Implement risk mitigation strategies for large-scale deployments (supply chain, OEM dependencies, technology integration risks) Monitor program milestones and ensure SLA-based deliveries Drive structured cabling design (fiber-heavy HPC fabric, spine-leaf connectivity) Qualifications & Experience B.E/B.Tech in Electrical / Electronics / Computer Science Engineering 15–25 years of experience in Data center infrastructure deployment, HPC / AI workload environments, large-scale IT infrastructure programs Mandatory / Preferred Certifications PMP / PRINCE2 (mandatory for program governance) CDCP / CDCS / CDCPM certifications Strongly preferred: NVIDIA AI Infrastructure / DGX / AI Factory certifications OEM certifications (Dell, HPE, Lenovo HPC systems)

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