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# HPC Engineer

- **Company:** Institute Inc
- **Location:** Sunnyvale, CA, United States
- **Experience:** Experienced
- **Salary:** $150,000.0 - $300,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Bash Shell, Cloud Computing, Computer Clusters, Computer Engineering, Linux, DevOps, Disaster Recovery, Monitoring of Systems, Python (Programming Language), Linux System Administration, Reliability Engineering, Prometheus, Software Engineering, Supercomputing, Datadog, Scripting, Graphics Processing Unit (GPU), High Performance Computing, Large Language Models, Grafana, Kubernetes, Information Technology, Slurm, Machine Learning Operations, Hardware Infrastructure
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/hpc-engineer-sunnyvale-ca--0bb2dfc9-8411-4d38-8e85-7d1d6977ddb4

## About the Role

Artificial Intelligence (AI), Incident Management, Supercomputing, Research Skills, Production Support, Operational Support, GPU (Graphics Processing Unit), Performance Analysis, Incident Response, Identify Issues, Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, Information Technology, Electrical Engineering, Mathematics, Physics, or related disciplines., * 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., * Slurm.
 * GPU infrastructure.
 * AWS, Azure, or GCP.
 * Grafana, Prometheus, Datadog, or similar tools.
 * Containers and Kubernetes.
 * AI/ML infrastructure exposure.
 * Research computing environments.

## Description

About MBZUAIThe Institute for Foundation Models (IFM) operates some of the world's largest AI supercomputing environments.Position SummaryThis 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., * 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.