Job Description The High-Performance Computing (HPC) AI Managed Services Engineer will be responsible for the design, deployment, and ongoing operational support of large-scale GPU-accelerated clusters tailored for AI and ML workloads. This role combines deep systems engineering with specialized knowledge of AI infrastructure like NVIDIA DGX platforms and high-speed interconnects. Core Responsibilities • Infrastructure Management: Build and maintain HPC compute nodes, GPU clusters, and high-performance storage systems (e.g., Lustre, VAST Data, Weka). • Workload Orchestration: Implement and manage job schedulers like Slurm, LSF, or PBS, and container orchestration platforms like Kubernetes for AI model training and inference. • Performance Tuning: Monitor and optimize system health, focusing on GPU utilization, network throughput (InfiniBand/RoCE), and storage I/O for Large Language Models (LLMs). • Managed Services Support: Provide L1/L2/L3 support, including troubleshooting hardware/software incidents, managing escalations, and interacting directly with customers for project implementation. • Automation: Develop automation scripts using Python, Bash, Ansible, or Terraform for rapid cluster deployment and configuration management. Required Skills & Experience • Experience: Typically 3–7+ years in HPC engineering, Linux system administration (RHEL/Ubuntu), or production AI infrastructure support. • NVIDIA Ecosystem: Deep knowledge of CUDA, NCCL, and GPU-enabled server management. • Networking: Proficiency in high-speed interconnects such as InfiniBand, RoCE, and Spectrum-X. • Parallel File Systems: Hands-on experience with Lustre, GPFS, or BeeGFS for distributed data processing. • Tools: Familiarity with monitoring and logging tools like Grafana, Prometheus, or Kibana. Educational Qualifications • Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related technical field. Common Professional Tools & Platforms • Schedulers: Slurm, Kubernetes, PBS Professional • Automation: Ansible, Terraform, Python • Hardware Partners: NVIDIA, Dell, HPE, AMD

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