High Performance Computing Engineer

Norconsult Telematics

Employer Active

Posted 8 hrs ago

Experience

5 - 9 Years

Job Location

Saudi Arabia - Saudi Arabia

Education

Bachelor of Science(Computers)

Nationality

Any Nationality

Gender

Not Mentioned

Vacancy

1 Vacancy

Job Description

Roles & Responsibilities


Job Description and Responsibilities

  • Design, deploy, and maintain HPC clusters and GPU-enabled servers for compute-intensive workloads, ensuring high availability and performance.
  • Administer and troubleshoot Red Hat Enterprise Linux systems in production environments to ensure stability and uptime.
  • Develop and maintain automation scripts (e.g., Ansible, Bash, Python) for system provisioning, configuration management, and patching.
  • Manage job scheduling systems (e.g., Slurm, PBS, LSF) and parallel file systems (e.g., Lustre, GPFS, BeeGFS) for efficient workload distribution.
  • Configure and optimize GPU workloads using NVIDIA CUDA or ROCm in HPC/AI environments.
  • Collaborate with researchers, data scientists, and engineering teams to fine-tune workloads and enhance system performance.
  • Ensure system security, stability, and compliance with organizational policies through proactive measures.
  • Monitor system health, analyze performance metrics, and conduct capacity planning to meet future demands.
  • Provide technical support, comprehensive documentation, and user training for HPC/GPU systems to enable seamless user experiences.


Desired Candidate Profile

Qualifications & Skills

  • Bachelor s degree in Computer Science, Information Technology, or a related field.
  • Minimum of 5-7 years of experience in HPC systems administration or related roles, with expertise in Red Hat Enterprise Linux.
  • Proficiency in automation scripting (Ansible, Bash, Python) and managing job schedulers (Slurm, PBS, LSF) and parallel file systems (Lustre, GPFS, BeeGFS).
  • Hands-on experience with GPU workload configuration (NVIDIA CUDA, ROCm) in HPC/AI environments.
  • Red Hat Certified Engineer (RHCE) or higher certification is preferred.
  • Experience in academic, research, or enterprise-scale HPC environments, with exposure to cloud-based HPC platforms (e.g., AWS ParallelCluster, Azure CycleCloud).
  • Familiarity with AI/ML workflows and tools (e.g., TensorFlow, PyTorch) in GPU environments is a plus.
  • Strong problem-solving, collaboration, and communication skills to support cross-functional teams.

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Company Industry

  • Telecom
  • ISP

Department / Functional Area

  • IT Software

Keywords

  • High Performance Computing Engineer

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Norconsult Telematics

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