Data Center Architect – AI & High‑Performance Computing

About the role

Param Solutions is looking for an experienced Data Center Architect to lead the design and deployment of AI and high‑performance computing (HPC) infrastructures. You will work with NVIDIA reference architectures to build scalable, power‑efficient data centre solutions that support demanding AI training and inference workloads.

Key responsibilities

• Design AI and HPC infrastructure based on NVIDIA reference architectures.
• Lead deployment and configuration of NVIDIA GPU clusters such as HGX, DGX, and other platforms.
• Define power, cooling, networking, storage, and rack layout requirements.
• Evaluate and recommend hardware, networking, and storage solutions.
• Develop technical designs for modular and prefabricated AI data centre deployments.
• Configure and optimise NVIDIA software stacks, drivers, CUDA, NCCL, and cluster management tools.
• Collaborate with vendors, system integrators, and infrastructure partners.
• Produce architecture diagrams, implementation plans, and operational standards.
• Assist with capacity planning, performance optimisation, and scaling strategies.

Required profile

• 5+ years of experience in data centre environments, enterprise, cloud, HPC or AI infrastructure.
• Proven hands‑on experience with NVIDIA GPU platforms and AI compute environments.
• Strong knowledge of Linux‑based systems and high‑speed networking.
• Experience with large‑scale compute clusters and distributed workloads.

Required skills

• NVIDIA GPU platforms (HGX, DGX, Blackwell, Hopper, Ampere)
• CUDA, NCCL, NVLink, BlueField DPUs
• InfiniBand and high‑performance Ethernet networking
• Linux system administration
• High‑density rack and liquid‑cooling design
• Storage systems and high‑speed networking