Job Location: Bangalore/ Hyderabad
Job Mode: Hybrid
Role Summary
Seeking an experienced HPC–AI Infrastructure Engineer to support GPU cluster operations, infrastructure decommissioning, InfiniBand networking, node troubleshooting, and incident resolution in large-scale data center environments.
Key Responsibilities
HPC–AI Decommissioning: Validate cluster readiness, device inventory, hardware details, and execute approved decommissioning procedures.
Infrastructure Management: Perform device configuration cleanup, validation, and coordinate with data center teams for hardware access and support.
GPU Node Troubleshooting: Investigate node failures, fault codes, connectivity issues, and hardware alerts using monitoring tools and system logs.
Cluster Monitoring: Monitor GPU infrastructure, InfiniBand fabric health, and node availability to ensure production stability.
Incident Management: Troubleshoot production incidents, coordinate with engineering teams, track recovery activities, and validate service restoration.
Documentation: Maintain incident tickets, change records, operational trackers, and technical handoff documentation.
Required Skills
Experience with HPC, AI infrastructure, and GPU clusters.
Strong knowledge of NVIDIA/Mellanox InfiniBand switches and UFM.
Hands-on Linux, networking, and infrastructure troubleshooting.
Understanding of GPU nodes, server hardware, TCP/IP, and data center operations.
Experience with monitoring, incident management, and change management.
Strong troubleshooting, communication, and documentation skills.
Preferred Skills
1. Experience with large-scale cloud or hyperscale data centers.
2. Familiarity with KQL, SQL, Python, Bash, or PowerShell.
3. Knowledge of infrastructure automation, GPU node recovery, and hardware lifecycle management.
Good to have :
CCNA/CCNP
AZ-900 , AZ-104
Nvdia networking or infini band related certification (NCA-AIIO)
Relevant hands on prioritized over certification
