HPC Infrastructure Lead

2 weeks ago

Kolhapur, India beBeeComputing Full time

HPC Infrastructure LeadDrive and manage our High-Performance Computing (HPC) infrastructure, leveraging expertise in Azure cloud platforms, Linux systems, and large-scale storage solutions to support semiconductor Chip design 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, implement, expand, and operate HPC infrastructure supporting semiconductor Chip design and development workloads.Manage on-premises and cloud-based HPC environments, focusing 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.Design and implement cloud bursting for EDA workloads.Drive cost optimization by balancing on-prem vs. cloud HPC solution.Work with vendors for escalations and support.Required Skills and QualificationsBachelors/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.

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