Discovered 5d ago

GPU Engineer – AI/Cloud Infrastructure

Cinergy Technology Inc•Linkedin

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LocationChennai, Tamil Nadu, India

Work Modeonsite

Experience6+ yrs

Compensation~₹14–24 LPA

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Required Skills & Technology Stack

devopsAzureDockerLinuxGCPKubernetesAWSPythonShell

About the Role

Key Responsibilities Deploy, configure, and maintain GPU-based AI/ML infrastructure Work hands-on with NVIDIA GPUs, CUDA, GPU drivers, and GPU compute environments Troubleshoot GPU performance, utilization, memory, and compute issues Support AI/ML workloads across cloud and on-premise environments Work with Docker and Kubernetes for containerized GPU workloads Optimize GPU resource utilization…

This role in context

DevOps is one of the skills this role asks for. It appears in 6,323 active tech jobs in India (11.8% of those we track). This posting asks for 6+ years. 55% of DevOps jobs that state experience ask for 5–8 years. Chennai accounts for 9% of DevOps jobs. 13% of DevOps jobs are remote; this one is onsite.

Based on active listings from the last 30 days. See the full DevOps job data →