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Sr. HPC ENGINEER

00070418771

Role Overview

We are seeking seasoned professionals with deep expertise in operating and managing High-Performance Computing (HPC) platforms. The ideal candidate will have hands-on experience in designing, deploying, and maintaining HPC clusters, storage systems, and networking infrastructure, leveraging industry-leading tools and technologies.

Key Responsibilities

· HPC Infrastructure Management

o Operate and maintain HPC clusters based on CentOS, RHEL, and hardware platforms like HPE and NVIDIA DGX.

o Ensure optimal performance, scalability, and reliability of compute resources.

· Storage Administration

o Manage large-scale storage systems including Dell Isilon, VAST Storage, Lustre, and GPFS.

o Implement data lifecycle management and optimize storage performance for HPC workloads.

· Networking

o Configure and maintain InfiniBand-based networking for low-latency, high-bandwidth communication.

o Troubleshoot network performance issues and ensure secure connectivity.

· Cluster and Job Scheduling

o Administer cluster management tools such as Bright Cluster Manager, Altair Grid Manager, and IBM LSF.

o Optimize job scheduling and resource allocation for diverse workloads.

· Monitoring and Automation

o Implement monitoring solutions using Zabbix, Grafana, and ELK Stack.

o Automate provisioning and configuration using Cobbler, Chef, Ansible, and AWS ParallelCluster.

· Performance Tuning & Troubleshooting

o Conduct performance benchmarking and tuning for HPC workloads.

o Diagnose and resolve hardware/software issues across compute, storage, and network layers.

· Security & Compliance

o Ensure HPC environment adheres to security best practices and compliance standards.

Required Skills & Qualifications

· Technical Expertise

o Strong knowledge of Linux OS (CentOS, RHEL) and HPC hardware platforms (HPE, NVIDIA DGX).

o Hands-on experience with parallel file systems (Lustre, GPFS) and enterprise storage solutions.

o Proficiency in InfiniBand networking and high-speed interconnects.

o Familiarity with job schedulers and cluster management tools (IBM LSF, Bright Cluster Manager, Altair Grid Manager).

· Automation & Scripting

o Expertise in Ansible, Chef, Cobbler, and scripting languages (Bash, Python).

o Experience with AWS ParallelCluster or similar cloud-based HPC solutions.

· Monitoring & Logging

o Practical experience with Zabbix, Grafana, and ELK Stack for system health and performance monitoring.

· Soft Skills

o Strong problem-solving and analytical skills.

o Ability to work in a fast-paced environment and lead technical teams.

o Excellent communication and documentation skills.

Preferred Qualifications

· Exposure to AI/ML workloads on HPC clusters.

· Experience with containerization (Docker, Singularity) in HPC environments.

· Knowledge of security hardening for HPC systems.

Education

· Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

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关于高知特 (Cognizant)
高知特(Cognizant)(纳斯达克代码:CTSH)作为一家AI Builder和相关技术服务提供商,致力于通过打造全栈AI解决方案,帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长,将企业独特的业务场景融入科技系统,赋能组织释放人才潜能,推动切实成果,并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情,敬请访问 cognizant.ai 或关注@cognizant。

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