Hpc Engineer
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Company: Esconet Technologies
Location:
Delhi/NCR – Okhla Phase 1, New Delhi (On-site)
Experience:
5+ Years
About the Role
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, Infini Band, and Linux software.
A solid understanding of parallel processing (problem decomposition and work distribution), parallel programming (MPI, Open MP), and computer architecture is essential for this role.
Minimum Qualifications
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 3+ years of experience with software development in Linux 3+ years of experience with HPC clusters and systems integration Ability to manage the AI stack up to the framework level Experience with GPU cluster capabilities and storage integration (LUSTRE/Bee GFS, cluster storage) Working knowledge of object-based storage, networking, Infini Band, solution designing, and technical documentation
Key Responsibilities
Desired Skills & Experience
Building, configuring, and administering Linux distributions — Rocky Linux, Ubuntu, Cent OS, RHEL, and SUSE Windows Server administration Expert knowledge of parallel/distributed file systems such as Lustre or IBM GPFS Strong knowledge of networking and cluster-based distributed computing, including Infini Band switch configuration Experience deploying open-source and commercial HPC platforms HPC cluster architecture design and configuration; AI cluster and Kubernetes cluster experience Strong scripting skills — Bash, Python, Perl; Ansible for automation is a plus Experience building dashboards (e.g., Flask-based) for cluster monitoring is a plus Skilled in diagnosing and debugging complex HPC hardware/software issues, with proposed workarounds Strong troubleshooting and root-cause analysis capabilitiesKey Skill Areas at a Glance
Cluster Application & Design: HPC Cluster Application, HPC Cluster Architecture Designing, HPC Cluster Configuration AI/GPU Infrastructure: AI Cluster, Kubernetes Cluster, NVIDIA GPU, MIG, AI Factory Storage: Cluster File System (Lustre), Cluster Storage (OSS & MDS Nodes), Bee GFS, Object-Based Storage Networking: Infini Band, Infini Band Switch, Networking & Solution Design Automation/Scripting: Python, Bash, Perl, Ansible, Flask Dashboards OS Administration: Rocky Linux, Ubuntu, Cent OS, RHEL, SUSE, Windows Server