This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior HPC Cluster Engineer - AI, ML based in India.

This role offers the opportunity to engineer and operate large-scale infrastructure powering advanced AI and high-performance computing workloads. You will help build and manage heterogeneous GPU-accelerated clusters across on-premises and cloud environments. The position combines production operations, automation, performance engineering, reliability, and direct collaboration with AI/ML researchers. You will play a key role in improving resource utilization, system stability, and the overall experience of users running demanding workloads. Working with globally distributed engineering teams, you will influence infrastructure strategy and continuously improve operational practices. The setting is highly technical, fast-moving, and focused on enabling the next generation of AI and scientific computing.

Accountabilities:




- Provide technical leadership for systems administration and service delivery across large-scale AI/HPC infrastructure, coordinating upgrades, incident response, and reliability improvements.
- Own the day-to-day operation of production AI/HPC clusters, monitoring system health, user experience, resource utilization, and adherence to internal service-level targets.
- Build, maintain, and scale heterogeneous AI/ML clusters across on-premises and cloud environments, covering compute, networking, storage, and GPU-accelerated infrastructure.
- Develop scalable automation and tooling to improve the deployment, configuration, management, and operational efficiency of AI/HPC environments.
- Collaborate with global engineering teams and internal users to understand evolving research and computing requirements and deliver reliable infrastructure solutions.
- Support researchers in running complex AI/HPC workloads, including performance analysis, troubleshooting, optimizatio

📌 Senior HPC Cluster Engineer (India)
🏢 Jobgether
📍 India