HPC Infrastructure Chief

2 weeks ago


palakkad, India beBeeHpcLeader Full time

High-Performance Computing Leader  Job Title: High-Performance Computing Leader  Location: Bangalore   Experience Level: 15+ years in IT/Unix Infrastructure with 5+ years in HPC leadership   Employment Type: Full-time  About the Role  We are seeking an experienced HPC leader with a strong background in driving and managing High-Performance Computing (HPC) infrastructure to support semiconductor Chip design and development workloads. The ideal candidate will bring hands-on expertise in Azure cloud platforms, Linux systems, large-scale storage solutions, and semiconductor Chip design EDA workloads.  Key Responsibilities: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.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.  Required Skills & Qualifications  To succeed as our HPC leader, you should have a Bachelors/Masters degree in Computer Science, Electronics, Electrical Engineering, or related field. A minimum of 10+ years of experience in IT/Unix infrastructure design and administration with 5+ years managing HPC systems is required. Additionally, you should have proven experience in the semiconductor/EDA industry, supporting large Chip design/development workloads. Proficiency in Linux system administration, Azure HPC/AI workloads, storage technologies, Job Schedulers, and scripting/automation skills are highly valued. Strong communication and problem-solving skills are also essential.  Preferred QualificationsFamiliarity 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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