Senior Engineer Specialist GPU Cluster & AI Infrastructure

Location: Chennai

Experience: 5–7 Years

Openings: 1

Employment Type: Permanent

About The Role

We are looking for a Senior Engineer Specialist with expertise in GPU Cluster Design, AI Infrastructure Deployment, and AI/ML Workload Optimization. The candidate will support AI datacenter operations, focusing on building, deploying, managing, and scaling GPU-based infrastructure using NVIDIA platforms. The role involves L2-level technical support, performance optimization, and collaboration with delivery teams to ensure reliable infrastructure operations.

The position involves designing, deploying, and supporting GPU clusters and AI infrastructure platforms for sovereign compute environments. The engineer will optimize AI/ML workload performance and support infrastructure operations within the System Core Engineering L2/L3/L4 support structure.

Working closely with delivery teams and stakeholders, the candidate will ensure SLA adherence, maintain technical documentation, and facilitate knowledge transfer. The role also requires following change and incident management processes while contributing to automation, continuous improvement, and regulatory compliance readiness.

Key Responsibilities

• Design, deploy, and support GPU clusters and AI infrastructure platforms.
• Optimize AI/ML workloads for improved performance and resource utilization.
• Manage and support NVIDIA-based GPU infrastructure.
• Work on CUDA, NVIDIA NIM Stack, and DGX reference architectures.
• Implement and manage MIG GPU partitioning and performance benchmarking.
• Provide L2-level infrastructure support and troubleshoot technical issues.
• Ensure SLA adherence, documentation, and knowledge transfer.
• Follow change and incident management processes and support compliance readiness, including DPDP, RBI, and CERT-In requirements.

• GPU Cluster Design and Management
• AI Infrastructure Deployment and Support
• AI/ML Workload Optimization
• NVIDIA Platform Expertise
• CUDA and NVIDIA NIM Stack
• NVIDIA DGX Reference Architectures
• MIG GPU Partitioning
• Performance Benchmarking
• L2 Infrastructure Support

Mandatory Skills

• Hyper-V

Candidate Profile

The ideal candidate should have 5–7 years of relevant experience in GPU infrastructure, AI datacenter operations, and AI/ML workload optimization. Strong knowledge of NVIDIA platforms and GPU technologies is expected, along with the ability to work within delivery teams, handle L2 support responsibilities, and maintain operational standards.

Benefits Package

• Competitive salary and benefits package.
• Opportunities for professional growth and development.
• A collaborative and inclusive work environment.
• The opportunity to work on exciting and challenging projects with leading clients.