Institute of Foundation Models

Researches and develops foundation models

HPC Engineer

Site Reliability EngineeringConfirmed live in the last 24 hours

Full-timeSunnyvale, CA, USA

About the Job

Requirements

A bachelor's degree in Computer Science, Computer Engineering, Software Engineering, Information Technology, Electrical Engineering, Mathematics, or a related discipline.
At least 2 years of experience in Linux systems administration, site reliability engineering, DevOps, cloud operations, high-performance computing, or infrastructure operations.
Strong Linux troubleshooting skills.
Experience scripting with Python or Bash.

Responsibilities

Monitor the health, performance, and availability of large-scale GPU clusters.
Respond to incidents and perform first-level triage.
Support researchers and troubleshoot job failures.
Execute operational runbooks and recovery procedures.
Validate cluster deployments, upgrades, and maintenance activities.
Track infrastructure utilization and operational metrics.
Develop automation and monitoring tools.
Contribute to documentation and reporting.

Desired Qualifications

Experience with Slurm.
Experience with GPU infrastructure.
Experience with AWS, Azure, or GCP.
Experience with Grafana, Prometheus, Datadog, or similar tools.
Experience with containers and Kubernetes.
Exposure to AI/ML infrastructure.
Experience in research computing environments.

Salary Range: 150000 to 300000 (Currency: USD) (Pay period: per-year-salary)

About MBZUAI
The Institute for Foundation Models (IFM) operates some of the world's largest AI supercomputing environments.

Position Summary
This role provides operational coverage during Abu Dhabi overnight hours and serves as a primary point of contact for infrastructure monitoring, incident triage, researcher support, and production operations.

Responsibilities

• Monitor health, performance, and availability of large-scale GPU clusters.
• Respond to incidents and perform first-level triage.
• Support researchers and troubleshoot job failures.
• Execute operational runbooks and recovery procedures.
• Validate cluster deployments, upgrades, and maintenance activities.
• Track infrastructure utilization and operational metrics.
• Develop automation and monitoring tools.
• Contribute to documentation and reporting.

Education

Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, Information Technology, Electrical Engineering, Mathematics, Physics, or related disciplines.

Experience

• 2+ years in Linux systems administration, SRE, DevOps, cloud operations, HPC, or infrastructure operations.
• Strong Linux troubleshooting skills.
• Experience with scripting using Python or Bash.

Preferred Qualifications

• Slurm.
• GPU infrastructure.
• AWS, Azure, or GCP.
• Grafana, Prometheus, Datadog, or similar tools.
• Containers and Kubernetes.
• AI/ML infrastructure exposure.
• Research computing environments.

Compensation

$150,000 – $300,000/year + discretionary performance bonus + benefits

The posted salary range represents the company’s good faith estimate of the base compensation for this position upon hire. The actual base compensation offered may vary within this range depending on individual qualifications, including but not limited to relevant skills, experience, education, certifications, and specific business needs. In addition to base salary, total compensation includes an annual discretionary performance bonus and comprehensive benefits.

Benefits Include

Comprehensive medical, dental, and vision benefits
Bonus
401K Plan
Generous paid time off, sick leave and holidays
Paid Parental Leave
Employee Assistance Program
Life insurance and disability

About the Company

Institute of Foundation Models

Researches and develops foundation models

IFM builds and studies foundation models—large AI models designed to learn broadly from diverse data and be used across many tasks. Its work centers on academic research to create open, fast, and practical models that address real-world societal needs, rather than narrow applications. The models are developed by a global team across Abu Dhabi, Paris, and Silicon Valley, with a strong emphasis on openness and collaboration to advance AI science and accessibility. Unlike typical private labs that lock models behind paywalls, IFM aims to provide publicly accessible, efficient models that can be used by researchers and developers to solve real problems. The overarching goal is to push the science of foundation models forward while ensuring their benefits reach society at large.

Company size: Not listed
Company stage: Not listed
Total funding: Not listed
Headquarters: United Arab Emirates
Founded: Not listed

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