HPC Infrastructure Leader

4 days ago

dombivli, India beBeeHighperformance Full time

We are seeking an experienced HPC infrastructure leader with a strong background in the semiconductor industry to drive and manage our High-Performance Computing (HPC) 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.Design and implement scalable HPC infrastructure supporting semiconductor Chip design and development workloads.Manage on-premises and cloud-based HPC environments, focusing on Azure HPC & AI solutions.Optimize storage systems for high throughput and low latency needs, leveraging technologies like Lustre, NetApp, GPFS, NFS, and Azure Blob/NetApp Files.Plan and execute Datacenter build and expansion projects, including rack design, power, cooling, and networking requirements.Collaborate with 3rd party Colo Datacenter service providers.Oversee job schedulers and workload managers to ensure efficient resource utilization.Troubleshoot performance bottlenecks in compute, memory, and storage, working closely with CAD/EDA tool users.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.Design and implement cloud bursting for EDA workloads.Drive cost optimization by balancing on-prem vs. cloud HPC solutions.Bachelor's or Master's degree in Computer Science, Electronics, Electrical Engineering, or related field required.10+ years of experience in IT/Unix infrastructure design and administration, with 5+ years managing HPC systems.Strong expertise in Linux system administration, including RHEL, CentOS, and Ubuntu.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.Excellent problem-solving and communication skills.Experience leading teams and working in cross-functional environments.

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