HPC Engineer – IFM

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Join the IFM infrastructure team to support and maintain large-scale GPU computing clusters powering frontier AI research. You’ll assist researchers with job submission and troubleshooting, monitor cluster health and performance, and handle issues across Linux, hardware, storage, networking, and software. The role includes Slurm administration, cluster deployment and upgrades, building automation scripts, documenting operations, and collaborating with researchers and vendors.

Location: Anywhere

Workplace: Remote

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Entry level

Key Responsibilities

•Support operation and maintenance of large-scale GPU computing clusters.
•Assist researchers with job submission, troubleshooting, and resource utilization.
•Monitor cluster health, performance, and availability.
•Troubleshoot issues across Linux, hardware, storage, networking, and software.
•Support Slurm administration, cluster deployment/upgrades/validation, and develop automation scripts and maintain technical documentation.

Key Requirements

•Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, Information Technology, Mathematics, Physics, or related disciplines.
•Linux administration experience.
•Programming in Python, Bash, Go, or C/C++.
•Networking fundamentals and cloud platforms exposure (Azure, AWS, GCP).
•Experience with containers (Docker, Apptainer, Enroot) and Git-based software development workflows.

Experience:HPCDistributed systemsResearch computingAI/ML infrastructureCloudContainers

Education:Bachelor's

Tech Stack:LinuxPythonBashGoC/C++AzureAWSGCPDockerApptainerEnrootGitSlurm

Company Brief

MBZUAI

Website

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MBZUAI

4 weeks ago

HPC Engineer – IFM

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Location: Anywhere

Workplace: Remote

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Entry level

Key Responsibilities

•Support operation and maintenance of large-scale GPU computing clusters.
•Assist researchers with job submission, troubleshooting, and resource utilization.
•Monitor cluster health, performance, and availability.
•Troubleshoot issues across Linux, hardware, storage, networking, and software.
•Support Slurm administration, cluster deployment/upgrades/validation, and develop automation scripts and maintain technical documentation.

Key Requirements

•Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, Information Technology, Mathematics, Physics, or related disciplines.
•Linux administration experience.
•Programming in Python, Bash, Go, or C/C++.
•Networking fundamentals and cloud platforms exposure (Azure, AWS, GCP).
•Experience with containers (Docker, Apptainer, Enroot) and Git-based software development workflows.

Experience:HPCDistributed systemsResearch computingAI/ML infrastructureCloudContainers

Education:Bachelor's

Tech Stack:LinuxPythonBashGoC/C++AzureAWSGCPDockerApptainerEnrootGitSlurm

Company Brief

MBZUAI

Website