17 Sep
|
Esconet Technologies
|
New Delhi
17 Sep
Esconet Technologies
New Delhi
Job Description
Company: Esconet Technologies
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Location: Delhi/NCR – Okhla Phase 1, New Delhi (On-site)
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Experience: 5+ Years
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About the Role
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Esconet Technologies is looking for a highly motivated HPC System Integrator/Administrator with a strong passion for cluster administration, system integration, and validation of HPC clusters. In this role, you will influence the overall integration, delivery, and management of largely open-source HPC products and solutions — spanning Intel and AMD processors, NVIDIA GPUs, storage, InfiniBand, and Linux software.
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A solid understanding of parallel processing (problem decomposition and work distribution), parallel programming (MPI, OpenMP), and computer architecture is essential for this role.
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Minimum Qualifications
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- Bachelor's degree in Computer Science, Computer Engineering, Computational Science, equivalent mathematical sciences, or a related field, with 3+ years of relevant work experience; or an equivalent combination of education, training, and experience
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- 3+ years of experience with software development in Linux
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- 3+ years of experience with HPC clusters and systems integration
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- Ability to manage the AI stack up to the framework level
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- Experience with GPU cluster capabilities and storage integration (LUSTRE/BeeGFS, cluster storage)
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- Working knowledge of object-based storage, networking, InfiniBand, solution designing, and technical documentation
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Key Responsibilities
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- Install, configure, fine-tune, and troubleshoot multi-vendor, multi-site Linux HPC servers
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- Build and deploy open-source software as well as vendor/partner software
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- Diagnose and resolve system operational issues quickly and effectively
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- Verify full operation of systems, including network, systems, and storage performance
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- Configure scheduling and queuing systems
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- Assist technical support teams with questions and issues encountered by customers
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- Coordinate with vendors to resolve hardware and software problems
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- Document system administration procedures for routine and complex tasks (wikis)
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- Maintain and monitor the security of HPC systems and servers
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- Design and configure HPC/Kubernetes clusters with NVIDIA GPU support, including MIG (Multi-Instance GPU) and AI Factory deployments
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- Deploy and manage cluster file systems such as Lustre, including OSS (Object Storage Server) and MDS (Metadata Server) node configuration
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- Build and maintain effective working relationships with coworkers, managers, and clients
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- Travel as needed for on-site cluster installation or maintenance (limited)
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Desired Skills & Experience
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- Building, configuring, and administering Linux distributions — Rocky Linux, Ubuntu, CentOS, RHEL, and SUSE
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- Windows Server administration
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- Expert knowledge of parallel/distributed file systems such as Lustre or IBM GPFS
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- Solid knowledge of networking and cluster-based distributed computing, including InfiniBand switch configuration
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- Experience deploying open-source and commercial HPC platforms
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- HPC cluster architecture design and configuration; AI cluster and Kubernetes cluster experience
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- Strong scripting skills — Bash, Python, Perl; Ansible for automation is a plus
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- Experience building dashboards (e.g., Flask-based) for cluster monitoring is a plus
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- Skilled in diagnosing and debugging complex HPC hardware/software issues, with proposed workarounds
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- Strong troubleshooting and root-cause analysis capabilities
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Key Skill Areas at a Glance
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- Cluster Application & Design: HPC Cluster Application, HPC Cluster Architecture Designing, HPC Cluster Configuration
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- AI/GPU Infrastructure: AI Cluster, Kubernetes Cluster, NVIDIA GPU, MIG, AI Factory
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- Storage: Cluster File System (Lustre), Cluster Storage (OSS & MDS Nodes), BeeGFS, Object-Based Storage
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- Networking: InfiniBand, InfiniBand Switch, Networking & Solution Design
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- Automation/Scripting: Python, Bash, Perl, Ansible, Flask Dashboards
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- OS Administration: Rocky Linux, Ubuntu, CentOS, RHEL, SUSE, Windows Server
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📌 HPC Engineer (New Delhi)
🏢 Esconet Technologies
📍 New Delhi