Senior HPC Cluster Engineer - AI, ML

📋 Description

• Provide technical leadership for systems administration and service delivery across large-scale
• Own the day-to-day operation of production AI/HPC clusters, monitoring system health, user
• Build, maintain, and scale heterogeneous AI/ML clusters across on-premises and cloud environments
• Develop scalable automation and tooling to improve the deployment, configuration, management, and
• Collaborate with global engineering teams and internal users to understand evolving research and
• Support researchers in running complex AI/HPC workloads, including performance analysis

🎯 Requirements

• Bachelor's degree in Computer Science, Electrical Engineering, or a related discipline, or
• 5+ years of experience designing, deploying, and operating large-scale compute or infrastructure
• Strong experience with AI/HPC job schedulers such as Slurm, Kubernetes, PBS, RTDA, BCM, or LSF.
• Proficiency administering Linux distributions such as CentOS/RHEL and/or Ubuntu.
• Hands-on experience with cluster configuration and infrastructure management tools including BCM
• Strong knowledge of container technologies such as Docker, Singularity, Podman, Shifter, or

🎁 Benefits

• Opportunity to work on large-scale AI and high-performance computing infrastructure supporting
• Exposure to GPU-accelerated computing, distributed systems, cloud infrastructure, HPC, and emerging
• Collaboration with highly skilled engineering and research teams across global locations.
• Opportunities to influence infrastructure architecture, automation, reliability, and operational
• Continuous learning and exposure to rapidly evolving technologies in AI, ML, and high-performance
• Flexible work arrangements may be available, with opportunities based in Bengaluru, Pune, or remote