Head of AI Infrastructure & HPC

Dubai, UAE | On-Site/Hybrid

An ambitious, well-capitalised technology organisation is looking to appoint a Head of AI Infrastructure & HPC to oversee the development, delivery and ongoing performance of its advanced compute infrastructure.

With substantial investment being directed into accelerated computing and AI infrastructure, this position offers the opportunity to shape a growing engineering function and take technical ownership of high-performance GPU environments.

The successful individual will combine strong infrastructure architecture expertise with practical experience delivering complex GPU clusters, building engineering teams and ensuring large-scale compute platforms operate efficiently and reliably.

Key Responsibilities

• Lead the design, implementation and expansion of GPU-accelerated compute infrastructure for demanding AI and HPC applications.
• Define infrastructure roadmaps covering NVIDIA GPU systems, high-speed interconnects, storage and cluster management.
• Oversee deployments involving H100, H200, Blackwell and HGX/DGX hardware architectures.
• Direct engineering activities across InfiniBand, RoCE, RDMA, NVLink/NVSwitch and distributed networking environments.
• Establish robust deployment methodologies covering hardware integration, system configuration, qualification testing and production readiness.
• Improve infrastructure efficiency through GPU performance optimisation, capacity planning, monitoring and reliability engineering.
• Oversee the implementation of cluster scheduling, workload management and container orchestration technologies.
• Introduce scalable automation frameworks for infrastructure provisioning, configuration management and operational support.
• Partner with hardware manufacturers, datacentre providers and technology vendors throughout infrastructure delivery.
• Recruit, develop and manage specialist engineers across GPU systems, Linux, HPC, networking and platform infrastructure.
• Shape long-term infrastructure strategy, technical governance and operational processes as the business expands.

Technical Expertise

Candidates should bring substantial experience across GPU infrastructure, HPC or large-scale compute platforms, with exposure to several of the following:

• NVIDIA GPU architectures including H100, H200, B200, HGX and DGX
• High-bandwidth networking: InfiniBand, Ethernet, RoCE and RDMA
• GPU communication and performance: NCCL, CUDA, NVLink, NVSwitch and DCGM
• Linux-based HPC environments and distributed computing
• Kubernetes, Slurm, Docker and cluster scheduling platforms
• Server provisioning, hardware qualification and infrastructure automation
• GPU benchmarking, performance tuning and fault diagnostics
• Parallel file systems and high-throughput storage solutions
• Rack-level infrastructure deployment and datacentre integration
• Scripting and automation using Python, Bash, Go or Ansible
• Infrastructure supporting large-scale AI training and inference

We are interested in engaging experienced technical leaders who have played a significant role in building, scaling or managing GPU-intensive infrastructure. The ideal candidate will have a proven ability to translate complex infrastructure requirements into reliable, production-ready systems, while providing technical leadership to multidisciplinary engineering teams.

Compensation: Highly competitive remuneration package reflecting the seniority and technical expertise required.