HPC Infrastructure Expert

2 days ago

salem, India beBeeHighPerformance Full time

We are seeking an experienced HPC Infrastructure Head to drive and manage our High-Performance Computing infrastructure. The ideal candidate will bring hands-on expertise in Azure cloud platforms, Linux systems, large-scale storage solutions, and semiconductor Chip design EDA workloads.This role involves leading HPC operations, optimizing compute/storage performance, and collaborating with design teams to ensure seamless delivery of Chip Design workflows.Lead the design, implementation, expansion, and operation of HPC infrastructure supporting semiconductor Chip design and development workloads.Manage on-premises and cloud-based HPC environments, with a focus on Azure HPC & AI solutions.Architect and optimize storage systems for high throughput and low latency needs.Plan and execute Datacenter build and expansion projects, including rack design, power, cooling, and networking requirements.Work with 3rd party Colo Datacenter service providers.Oversee job schedulers and workload managers to ensure efficient resource utilization.Collaborate with CAD/EDA tool users to troubleshoot performance bottlenecks in compute, memory, and storage.Develop and enforce policies for job scheduling, quota, and resource allocation.Implement monitoring, logging, and performance tuning for HPC clusters and storage.Ensure system security, license management, and compliance with industry standards.Required Skills and QualificationsThe ideal candidate should possess:Bachelors/Masters 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.Favorable QualificationsFamiliarity with containerization and orchestration (Docker, Kubernetes, Singularity) in HPC environments is a plus.

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