Senior HPC Systems Architect

2 weeks ago

Koṭa, India beBeeHighPerformance Full time

HPC Infrastructure Head We are seeking a seasoned expert to lead our High-Performance Computing (HPC) infrastructure. This role involves designing, implementing, and managing HPC environments to support large-scale computing workloads. Key Responsibilities Design and Implementation: Develop and deploy HPC infrastructure that meets the needs of our organization. HPC Environment Management: Oversee the management of on-premises and cloud-based HPC environments. Storage System Architecture: Design and optimize storage systems for high-throughput and low-latency requirements. Datacenter Build and Expansion: Plan and execute datacenter build and expansion projects. Job Scheduling and Resource Allocation: Oversee job schedulers and workload managers to ensure efficient resource utilization. Troubleshooting and Performance Tuning: Collaborate with users to troubleshoot performance bottlenecks in compute, memory, and storage. Policies and Procedures: Develop and enforce policies for job scheduling, quota, and resource allocation. Monitoring and Security: Implement monitoring, logging, and performance tuning for HPC clusters and storage, ensuring system security and compliance with industry standards. Cloud Bursting and Cost Optimization: Drive cost optimization by balancing on-prem versus cloud HPC solutions and design cloud bursting for EDA workloads. Required Skills and Qualifications Bachelor's or Master's degree in Computer Science, Electronics, Electrical Engineering, or related field. 10+ years of experience in IT/Unix infrastructure design and administration with 5+ years managing HPC systems. Proven experience in the semiconductor/EDA industry supporting large Chip design/development workloads. Strong expertise in Linux system administration. Hands-on experience with Azure HPC/AI workloads, including VM provisioning, networking, and cost governance. Deep understanding of storage technologies: parallel file systems, NAS, SAN, object storage, and Azure storage. Proficiency in job schedulers: LSF, Slurm, PBS, or similar. Knowledge of EDA tool license servers. Strong scripting/automation skills. Excellent problem-solving and communication skills. Experience leading teams and working in cross-functional environments. Preferred Qualifications Familiarity with containerization and orchestration in HPC environments. Exposure to security best practices in HPC & cloud. Knowledge of DevOps/Infra-as-Code for HPC deployments.

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