HPC Engineer

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, InfiniBand, and Linux software.

A solid understanding of parallel processing (problem decomposition and work distribution), parallel programming (MPI, OpenMP), 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/BeeGFS, cluster storage)

• Working knowledge of object-based storage, networking, InfiniBand, solution designing, and technical documentation

Key Responsibilities

• Install, configure, fine-tune, and troubleshoot multi-vendor, multi-site Linux HPC servers

• Build and deploy open-source software as well as vendor/partner software

• Diagnose and resolve system operational issues quickly and effectively

• Verify full operation of systems, including network, systems, and storage performance

• Configure scheduling and queuing systems

• Assist technical support teams with questions and issues encountered by customers

• Coordinate with vendors to resolve hardware and software problems

• Document system administration procedures for routine and complex tasks (wikis)

• Maintain and monitor the security of HPC systems and servers

• Design and configure HPC/Kubernetes clusters with NVIDIA GPU support, including MIG (Multi-Instance GPU) and AI Factory deployments

• Deploy and manage cluster file systems such as Lustre, including OSS (Object Storage Server) and MDS (Metadata Server) node configuration

• Build and maintain effective working relationships with coworkers, managers, and clients

• Travel as needed for on-site cluster installation or maintenance (limited)

Desired Skills & Experience

• Building, configuring, and administering Linux distributions — Rocky Linux, Ubuntu, CentOS, 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 InfiniBand 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 capabilities

Key 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), BeeGFS, Object-Based Storage
• Networking: InfiniBand, InfiniBand Switch, Networking & Solution Design
• Automation/Scripting: Python, Bash, Perl, Ansible, Flask Dashboards
• OS Administration: Rocky Linux, Ubuntu, CentOS, RHEL, SUSE, Windows Server