Senior Principal Engineer - AI & HPC Solutions Architect

Dell

Abu Dhabi

On-site

AED 600,000 - 1,000,000

Full time

14 days+

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Job summary

Dell Technologies seeks a Senior Principal Engineer - AI & HPC Solutions Architect to lead design and deployment of large-scale AI infrastructure environments. You will partner with Dell consultants, engineering teams, and executive stakeholders to drive scalable architectures and proven implementations.

As a senior technical authority, you will mentor architects, guide deployment strategies, and deliver comprehensive documentation for enterprise programs, ensuring readiness across compute,

Qualifications

  • Proven success in designing and deploying large-scale HPC and AI clusters.
  • Strong Linux systems administration and automation experience.
  • Hands-on experience with Slurm, Kubernetes, and NVIDIA Base Command Manager.
  • Deep expertise with high-performance networking including InfiniBand and RoCE.
  • Experience leading highly complex customer engagements and technical workstreams.

Responsibilities

  • Design and architect scalable AI and HPC infrastructures.
  • Lead architecture and implementation for enterprise AI environments.
  • Drive benchmarking, validation, performance engineering, and scalability testing.
  • Provide technical leadership across compute, storage, networking, and software layers.
  • Develop architecture diagrams, deployment guides, and operational procedures.
  • Act as the senior technical authority in strategic customer engagements.

Skills

HPC architectures
AI infrastructure
Linux administration
Automation
NVIDIA Base Command Manager
Slurm
Kubernetes
InfiniBand
RoCE
Performance benchmarking
Documentation
Technical leadership
Customer engagement
Architectural design

Tools

NVIDIA Base Command Manager
Slurm
Kubernetes
CUDA

Job description

Job description

Senior Principal Engineer - AI & HPC Solutions Architect


Dell Technologies is committed to empowering our customers with innovative products and services that enhance their performance and productivity. The Services Solutions Architecture team plays a pivotal role in delivering technical solutions that consistently meet client needs and expectations. As trusted consultants, we partner closely with our clients to understand their objectives and provide infrastructure solutions designed for scalability, efficiency, and future growth.


We invite you to join our Services Solutions Architecture team as a Senior Principal Engineer - AI & HPC Solutions Architect, where you will have the opportunity to lead the design and deployment of some of the industry's largest and most advanced AI infrastructure environments.


Key Responsibilities


As a senior member of the services delivery team, you will collaborate with Dell consultants, engineering teams, and executive customer stakeholders to design and implement large-scale AI and HPC architectures. You will serve as the technical lead for highly complex deployments, driving architecture, implementation, optimization, and operational readiness for enterprise and hyperscale AI environments.



Responsibilities:

You will:


  • Design and architect highly scalable AI and HPC infrastructures supporting large-scale model training and inference workloads.
  • Lead architecture and implementation activities for enterprise and hyperscale AI environments utilizing NVIDIA, AMD, and Intel technologies.
  • Design and implement large GPU clusters supporting several thousand to tens of thousands of accelerators.
  • Lead deployment and optimization of orchestration platforms including NVIDIA Base Command Manager, Slurm, Kubernetes, and related technologies.
  • Drive large-scale benchmarking, validation, performance engineering, and scalability testing activities utilizing tools such as NCCL, HPL, MLPerf, IO500, and related technologies.
  • Provide expert consulting on AI factory architecture, infrastructure scalability, platform engineering, and operational strategy.
  • Collaborate with customer technical leadership to define long-term AI infrastructure roadmaps and deployment strategies.
  • Lead resolution of the most complex performance, scalability, and integration challenges across compute, storage, networking, and software layers.
  • Provide technical leadership and mentorship to other architects and engineers supporting major programs.
  • Develop comprehensive documentation including architecture diagrams, deployment guides, technical designs, and operational procedures.
  • Act as the senior technical authority and trusted advisor throughout strategic customer engagements.

Qualifications:

Essential Qualifications


  • Proven success in designing and deploying large-scale HPC and AI clusters utilizing NVIDIA, AMD, and Intel technologies.
  • Strong experience with Linux systems administration, troubleshooting, and automation.
  • Extensive hands-on experience with NVIDIA Base Command Manager, Slurm, Kubernetes, or equivalent orchestration platforms.
  • Deep expertise with high-performance networking technologies including InfiniBand and RoCE.
  • Extensive experience performing system benchmarking, scalability testing, performance validation, and optimization activities.
  • Demonstrated success architecting and deploying large-scale GPU environments comprising thousands of accelerators.
  • Experience leading highly complex customer engagements and technical workstreams.
  • Strong customer-facing communication, consulting, and technical leadership skills.
  • Ability to manage multiple large-scale projects and influence technical decisions across diverse stakeholder groups.

Desirable Qualifications


  • Experience with NVIDIA DGX, DGX SuperPOD, and AI Factory architectures.
  • Expertise in AI/ML and Generative AI infrastructure environments.
  • Experience supporting GPU deployments comprising tens of thousands of accelerators.
  • Experience with large-scale LLM training and inference environments.
  • Experience with Python, Ansible, Terraform, or similar automation technologies.
  • Knowledge of advanced data center design, networking, storage architectures, and cloud integration methods.
  • Experience mentoring architects and leading technical teams across complex infrastructure programs.
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