Senior Engineer Specialist – GPU Cluster & AI Infrastructure

Vivantify Technology Solutions India Pvt. Ltd.; Chennai; Presencial; INR 2.000.000 - 3.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive salary

Professional growth

Collaborative environment

Challenging projects with leading cli

Descripción de la vacante

Vivantify Technology Solutions India Pvt. Ltd. in Chennai seeks a Senior Engineer Specialist to design, deploy, and manage GPU clusters and AI infrastructure.

You will optimize AI/ML workloads and ensure reliable operations across the AI datacenter, collaborating with delivery teams and handling L2/L3 support as needed. The role emphasizes CUDA, NVIDIA NIM Stack, DGX architectures, and MIG partitioning, with strict adherence to change and incident processes and regulatory readiness.

Formación

• 5–7 years of relevant experience in GPU infrastructure and AI datacenter operations.
• Strong knowledge of NVIDIA platforms and GPU technologies.
• Ability to work within delivery teams and handle L2 support responsibilities.

Responsabilidades

• 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 issues.
• Ensure SLA adherence, documentation, and knowledge transfer.
• Follow change and incident management processes and support compliance readiness.

Conocimientos

GPU cluster design

AI infra deployment

AI/ML workload optimization

NVIDIA platform

CUDA/NIM stack

NVIDIA DGX architectures

MIG partitioning

Performance benchmarking

L2 infrastructure support

Hyper-V

Descripción del empleo

About The Role

We are looking for a

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.

Job Description

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.

Required Skills

• 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.