High Performance Computing Specialist

2 weeks ago

aligarh, India beBeehpc Full time

HPC Infrastructure Leader: Drive Scalable Compute and Storage SolutionsJob Title:HPC Infrastructure Leader – HPC Expert for Semiconductor Chip Design WorkloadsJob Summary:We are seeking an experienced HPC infrastructure leader to drive the development and implementation of scalable compute and storage solutions supporting semiconductor chip design workloads. The ideal candidate will bring a strong background in HPC leadership, cloud computing, and large-scale storage systems.Key Responsibilities:Lead the design, implementation, and expansion of HPC infrastructure to support high-performance computing workloads in the semiconductor industry.Manage on-premises and cloud-based HPC environments with expertise in Azure HPC & AI solutions.Architect and optimize storage systems (Lustre, NetApp, GPFS, NFS, Azure Blob/NetApp Files) for high throughput and low latency needs.Plan and execute Datacenter build and expansion projects, including rack design, power, cooling, and networking requirements.Collaborate with design teams to ensure seamless delivery of chip design workflows.Oversee job schedulers and workload managers (LSF, Slurm, PBS, Grid Engine) to ensure efficient resource utilization.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 & Qualifications:Bachelor's/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/workload.Strong expertise in Linux (RHEL, CentOS, Ubuntu) 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 (FlexLM, SCL, RLM, etc.).Strong scripting/automation skills (Python, Shell, Ansible, Terraform).Preferred Qualifications:Familiarity with containerization and orchestration (Docker, Kubernetes, Singularity) in HPC environments.Exposure to security best practices in HPC & cloud.Knowledge of DevOps/Infra-as-Code for HPC deployments.

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