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HPC System Engineer

Job in Abu Dhabi, UAE/Dubai
Listing for: EDGE
Full Time position
Listed on 2026-09-09
Job specializations:
  • IT/Tech
    Systems Engineer, IT Infrastructure, Systems Administrator
Salary/Wage Range or Industry Benchmark: 180000 - 300000 AED Yearly AED 180000.00 300000.00 YEAR
Job Description & How to Apply Below

Job Description:

About Edge

At EDGE bold ideas are engineered into technologies that protect, improve and save lives.

Headquartered in the United Arab Emirates, EDGE is a leading advanced technology group working at the forefront of defence and emerging technologies. Spanning more than 35 specialised companies and multiple centres of excellence, we are purpose-built to move fast. Free from heavy legacy processes, we give our people the autonomy, accountability, and agility to bring breakthrough technologies from concept to reality.

Based in Abu Dhabi, a globally connected hub at the crossroads of Europe, Asia, Africa, and the Middle East, EDGE is home to a truly multicultural community where bold ideas thrive, and the future is shaped.

Together, we are shaping the future.

About

The Role

We are seeking a highly skilled HPC Systems Administrator to manage, optimise, and support our high-performance computing environment used for Computational Fluid Dynamics (CFD) and Finite Element Analysis (FEA) workloads. This role is responsible for the full lifecycle of HPC operations — from infrastructure and scheduler management to user support, performance optimization, and long-term capacity planning.

The ideal candidate has strong Linux administration experience, deep knowledge of HPC schedulers, and hands‑on familiarity with engineering simulation tools.

Responsibilities
  • Infrastructure Management
  • Maintain and administer compute nodes, login nodes, heterogeneous nodes, NAS storage servers, and high‑speed interconnects (Infini Band).
  • Manage and maintain HPC‑related databases, ensuring timely backups and audit compliance.
  • Monitor hardware health including CPU temperatures, memory errors, and disk failures.
  • Ensure high availability, reliability, and minimal downtime across the HPC environment.
  • Scheduler & Resource Management
  • Configure and tune job schedulers (Slurm / PBS / LSF / Grid Engine).
  • Implement and maintain fair‑share scheduling, job priority rules, QoS limits, and preemption policies.
  • Manage node reservations for large‑scale CFD/FEA workloads.
  • Provide best‑practice recommendations for CPU/GPU architecture selection for engineering simulations.
  • Prevent resource misuse, including node hogging, queue congestion, and starvation of small jobs.
  • User Access, Security & Compliance
  • Manage user accounts, permissions, and storage quotas.
  • Enforce secure SSH access, MFA, and other security controls.
  • Ensure compliance with IT governance, data‑security, and audit requirements.
  • Apply OS patches, security updates, and vulnerability fixes.
  • Software Stack Management
  • Install, update, and manage licenses for engineering solvers such as ANSYS, Siemens, NASTRAN, and others.
  • Maintain version control and apply service pack updates as required.
  • Manage environment modules (Lmod, Environment Modules).
  • Optimize compilers, MPI libraries, math libraries, and GPU/graphics‑intensive drivers for performance.
RESTRICTED
  • Performance Monitoring & Optimization
  • Monitor node utilization, queue wait times, job failures, and overall cluster performance.
  • Identify and resolve network congestion, I/O bottlenecks, and memory pressure issues.
  • Conduct performance tuning and benchmarking for CFD/FEA workloads.
  • Recommend improvements to enhance throughput and efficiency.
  • Troubleshooting & User Support
  • Diagnose and resolve job crashes, memory leaks, solver errors, and environment issues.
  • Assist users with HPC batch scripting and job optimization.
  • Provide training sessions and best‑practice guidance for HPC users.
  • Maintain documentation, onboarding guides, and knowledge‑base resources.
  • Storage & Data Lifecycle Management
  • Enforce storage quotas, purge policies, and data‑retention rules.
  • Manage backup, archival systems, and RAID configurations.
  • Ensure smooth operation of parallel file systems (Lustre, GPFS, BeeGFS).
  • Support efficient data workflows for large CFD/FEA datasets.
  • Capacity Planning & Future Growth
  • Plan for future expansion including increased core counts, GPU adoption, memory‑heavy nodes, and faster interconnects.
  • Evaluate new hardware technologies and benchmark workloads before procurement.
  • Provide input into long‑term HPC strategy and infrastructure roadmap.
Basic Qualifications
  • Bac…
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