
Dell Technologies MENA
Senior AI Network & Compute Consultant
- Permanent
- Dubai, United Arab Emirates
- Experience 2 - 5 yrs
Job expiry date: 06/05/2026
Job overview
Date posted
22/03/2026
Location
Dubai, United Arab Emirates
Salary
AED 20,000 - 30,000 per month
Compensation
Job description
The Senior AI Network & Compute Consultant (HPC, GPU Clusters & Data Center Infrastructure) at Dell Technologies in Dubai, United Arab Emirates is responsible for designing, architecting, and implementing scalable high-performance computing (HPC) and AI cluster infrastructures to support advanced AI workloads and enterprise compute environments. The role involves collaborating with Dell consultants and client stakeholders to deliver sophisticated compute and network architectures, leveraging NVIDIA, AMD, and Intel platforms for large-scale HPC/AI cluster deployments. The consultant leads the implementation of advanced networking solutions including NVIDIA InfiniBand (Quantum), Ethernet technologies such as Spectrum-X, and operating systems including MLNX-OS, NVIDIA Cumulus OS, and Enterprise SONiC. The position requires hands-on expertise in Linux systems administration and scripting, as well as deployment and management of orchestration tools such as NVIDIA Base Command Manager for cluster management, monitoring, and automation. Responsibilities include providing expert consulting on compute and network infrastructure strategy, planning, and execution, assessing client technical requirements, and delivering customized solutions aligned with scalability, efficiency, and future growth objectives. The role also involves troubleshooting and resolving performance bottlenecks across compute, storage, and network layers, and producing comprehensive technical documentation including architecture diagrams, deployment guides, and operational procedures. Additional expertise includes container orchestration technologies such as Kubernetes, Docker, and Slurm, familiarity with NVIDIA DGX systems and GPU platforms, knowledge of data centre operations, cloud integration methods, and experience with GENAI frameworks and related tools. The position operates within a consulting environment requiring management of multiple projects and delivering high-quality results while ensuring customer satisfaction and technical excellence.
Required skills
Key responsibilities
- Design and architect scalable high-performance compute and network infrastructures for HPC and AI clusters using NVIDIA, AMD, and Intel platforms
- Lead implementation of advanced networking technologies including NVIDIA InfiniBand (Quantum), Ethernet Spectrum-X, MLNX-OS, NVIDIA Cumulus OS, and Enterprise SONiC
- Deploy and manage cluster orchestration tools such as NVIDIA Base Command Manager for monitoring and automation of HPC environments
- Provide consulting on compute and network infrastructure strategy, planning, and execution while assessing client technical requirements
- Collaborate with client stakeholders and internal teams to deliver customized AI and HPC infrastructure solutions
- Troubleshoot and resolve performance bottlenecks across compute, storage, and network layers to ensure optimal system performance
- Develop comprehensive technical documentation including architecture diagrams, deployment guides, and operational procedures
- Manage multiple consulting projects independently while ensuring delivery of scalable, efficient, and high-performance infrastructure solutions
Experience & skills
- Demonstrate proven success in designing and deploying large-scale HPC and AI clusters using NVIDIA, AMD, and Intel technologies
- Exhibit expertise in NVIDIA networking technologies including InfiniBand (Quantum), Ethernet (Spectrum-X), MLNX-OS, NVIDIA Cumulus OS, and Enterprise SONiC
- Show proficiency in Linux systems administration and scripting for managing compute environments
- Demonstrate hands-on experience with NVIDIA Base Command Manager or equivalent cluster orchestration tools
- Possess experience in consulting roles with strong technical documentation and ability to manage multiple projects independently
- Hold certifications in networking and Linux such as CCNP, LFCS, NCP-AIN, or NCP-AIO as a preferred qualification
- Demonstrate experience with NVIDIA DGX systems or similar GPU platforms for AI workloads
- Show familiarity with container orchestration technologies including Kubernetes, Docker, and Slurm
- Demonstrate knowledge of data centre operations and cloud integration methods
- Possess experience with GENAI frameworks and related tools for AI infrastructure environments