We are seeking a highly skilled Senior Engineer – HPC Operations to oversee the daily operations and support of high-performance computing clusters designed to power large-scale AI and ML workloads. This role ensures stable, secure, and high-performing infrastructure leveraging technologies such as Slurm, Kubernetes, and modern MLOps platforms. The ideal candidate will bring deep technical expertise in HPC and a strong operational mindset to drive continuous improvement and automation across globally distributed environments.
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Responsibilities
- Provide daily operational support for HPC infrastructure, including compute, storage, networking, and scheduler components (e.g., Slurm, Kubernetes).
- Drive initiatives to optimize the efficiency and performance of HPC systems, ensuring maximum resource utilization and minimizing downtime.
- Ensure the timely and effective resolution of incidents and service requests, maintaining system reliability and uptime.
- Continuously monitor system health, performance, and utilization using advanced monitoring tools (e.g., Prometheus, Grafana, DCGM).
- Manage and support user environments for AI/ML workloads, including container orchestration (e.g., Docker, Kubernetes) and workflow tools (e.g., MLflow, Kubeflow).
- Define, implement, and manage job scheduling policies, priorities, and partitions within Slurm and/or Kubernetes environments to ensure fairness, efficiency, and workload optimization.
- Conduct root cause analysis (RCA) of operational issues, contributing to post-mortem documentation and driving continuous improvement initiatives.
- Provide mentorship and guidance to junior engineers, fostering skills development and a collaborative environment.
- Participate in on-call rotation as needed.
- Ensure compliance with security and operational policies, assisting with audits and maintaining documentation for change and incident management processes.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
- Minimum of 5 years of experience in HPC operations, systems engineering, or DevOps roles.
- Advanced expertise in configuring, optimizing, and maintaining complex HPC environments, including hardware, software, and storage systems.
- Hands-on experience managing Slurm clusters and/or Kubernetes-based environments for AI/ML workloads.
- In-depth knowledge of GPU resource management, workload schedulers, and performance tuning for AI/ML workloads.
- Proficiency with monitoring and observability frameworks such as Prometheus, Grafana, and DCGM.
- Strong scripting and automation skills, including Python, Bash, Ansible, and Terraform.
- Solid understanding of Linux (RHEL/CentOS/Ubuntu), networking technologies (RDMA, InfiniBand, RoCE), and storage solutions (NFS, Lustre, Ceph).
Location
Abu Dhabi, Abu Dhabi, United Arab Emirates.
