Senior HPC Engineer – IFM

The Chronicle Of Higher Education, Inc.; United Arab Emirates; On-site; AED 223,200 - 334,800; Full time

Job summary

The Chronicle Of Higher Education, Inc. is seeking a Senior HPCEngineer for MBZUAI’s Institute of Foundation Models. This role involves providing technical leadership in designing and operating large-scale GPU infrastructure for AI research.

Responsibilities include optimizing GPU clusters, troubleshooting systems, mentoring junior engineers, and collaborating with researchers. Ideal candidates should have relevant experience in HPC and a degree in a related field.

Qualifications

• 5+ years in HPC, Linux infrastructure, or large-scale production environments.
• Experience with Slurm and Linux administration.
• Experience troubleshooting compute, storage, and networking systems.

Responsibilities

• Lead operation and optimization of large-scale GPU clusters.
• Drive reliability, scalability, and performance improvements.
• Mentor junior engineers.
• Participate in major incident management and escalations.

Skills

HPC expertise

Linux administration

Cloud infrastructure

Distributed systems

Troubleshooting skills

Education

Bachelor’s degree in relevant field

Master’s degree preferred

Tools

Slurm

NVIDIA technologies

InfiniBand networking

Cloud platforms (AWS, Azure, GCP)

Terraform

Ansible

Job description

Senior HPCEngineer

MBZUAI’s Institute of Foundation Models is seeking a Senior HPCEngineer to provide technical leadership in designing, operating, and evolving large‑scale GPU infrastructure supporting frontier AI research. The Institute for Foundation Models (IFM) operates one of the world’s largest AI‑focused supercomputing environments and is looking for an experienced HPC engineer to contribute to groundbreaking research and development.

Key Responsibilities

• Lead operation and optimization of large‑scale GPU clusters.
• Drive reliability, scalability, and performance improvements.
• Lead troubleshooting and root cause analysis of complex issues.
• Design and validate new cluster deployments and upgrades.
• Collaborate with researchers to optimize distributed AI training.
• Lead vendor engagement and technical reviews.
• Mentor junior engineers.
• Define monitoring, operational standards, and capacity planning processes.
• Participate in major incident management and escalations.

Academic Qualification

• Bachelor’s degree in computer science, computer engineering, electrical engineering, software engineering, information technology, applied mathematics, physics, or related disciplines.
• Master’s degree preferred.

Professional Experience Required

• 5+ years in HPC, Linux infrastructure, cloud infrastructure, distributed systems, or large‑scale production environments.
• Experience with Slurm and Linux administration.
• Experience troubleshooting compute, storage, and networking systems.

Preferred Experience

• GPU cluster operations.
• NVIDIA technologies including CUDA, NCCL, NVLink, and GPUDirect.
• InfiniBand networking.
• Weka, Lustre, BeeGFS, or similar storage platforms.
• Azure, AWS, or GCP.
• Terraform, Ansible, or Infrastructure‑as‑Code.
• PyTorch Distributed, Megatron‑LM, DeepSpeed, FSDP, or large‑scale AI training environments.