HPC System Engineer

We are seeking an experienced HPC (High-Performance Computing) System Engineer to design, implement, and manage cutting-edge HPC infrastructure using Dell servers, AMD GPUs (MI210), and Pure Storage systems. The ideal candidate will have expertise in Commvault backup systems, Kubernetes container orchestration, and multitenancy configurations, ensuring scalable, GPU-accelerated, and high-performance solutions tailored to enterprise and HPC workloads.

Key Responsibilities:

•           Dell Servers:

•           Architect and deploy HPC systems using Dell PowerEdge servers, ensuring high availability and optimized performance for compute-intensive applications.

•           Manage server hardware lifecycle, including deployment, upgrades, and diagnostics.

•           Configure HPC cluster nodes for seamless integration with Kubernetes and GPU workloads.

•           AMD GPUs (MI210):

•           Deploy and optimize AMD GPU-based servers to accelerate AI/ML, HPC, and data-intensive applications.

•           Monitor GPU utilization, troubleshoot performance bottlenecks, and optimize workloads for GPU acceleration.

•           Integrate GPUs into Kubernetes environments for containerized GPU-based applications.

Pure Storage:

•           Design and manage Pure Storage solutions, including FlashBlade, to support HPC and data-intensive workloads.

•           Implement multitenancy configurations for isolated, secure, and efficient resource utilization.

•           Monitor storage health and ensure performance optimization for high-speed data access.

•           Commvault Backup:

•           Architect and manage enterprise-wide Commvault backup solutions, ensuring data integrity and readiness for disaster recovery.

•           Implement backup and retention policies for HPC environments, including containerized and GPU-accelerated workloads.

Kubernetes Container Management:

•           Deploy and manage Kubernetes clusters for HPC applications, ensuring scalability and fault tolerance.

•           Configure persistent storage for containerized workloads and integrate storage with GPUs for high-performance data processing.

•           Monitor cluster performance and troubleshoot HPC-specific Kubernetes challenges.

•           System Optimization and Monitoring:

•           Implement advanced monitoring solutions for servers, GPUs, storage, and Kubernetes clusters to ensure peak performance.

•           Develop and enforce policies for system security, resource allocation, and compliance with industry standards.

•           Lead capacity planning and scaling initiatives for HPC infrastructure.

Team Leadership and Collaboration:

•           Mentor and guide junior engineers on HPC best practices, system design, and troubleshooting techniques.

•           Collaborate with cross-functional teams, including data scientists and DevOps, to align infrastructure capabilities with organizational goals.