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GPU Engineer

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Onsite

GPU Engineer

Cinergy Technology Inc

GPU Engineer

Skills

DockerNodeMachine LearningAILinuxKubernetes

12 days ago

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Important information


Contract type:

Freelance / Contract

Location:

Chennai, Tamil Nadu, India

Work mode:

Onsite

Published on:

8 October 2026

What they need


Position: GPU DevOps / Infrastructure Setup Engineer

Location: Chennai

Work Mode: Onsite

Engagement Duration: 1 Year

Joining: Immediate / Short Notice

Experience: 4 – 10 Years

About the Role

We are looking for experienced GPU DevOps / Infrastructure Setup Engineers to support the deployment, configuration, automation, and management of GPU-enabled infrastructure and workloads.

The engineers will be responsible for setting up and maintaining GPU compute environments, configuring operating systems and supporting software, deploying workloads, automating infrastructure, and troubleshooting infrastructure and performance-related issues.

The role requires strong hands-on experience in DevOps, Linux, cloud/infrastructure environments, containerization, automation, and GPU-based computing. Experience with any GPU platform or hardware vendor is acceptable.

Key Responsibilities

  • Set up, configure, and maintain GPU-enabled compute infrastructure.

  • Configure operating systems, system software, drivers, and supporting components required for GPU workloads.

  • Provision and configure GPU servers, compute nodes, and related infrastructure.

  • Deploy and manage GPU-based workloads across cloud, on-premise, or hybrid environments.

  • Configure and manage containerized GPU workloads using Docker and/or Kubernetes.

  • Automate infrastructure provisioning, configuration, and deployment processes.

  • Develop and maintain CI/CD pipelines for infrastructure and application workloads.

  • Monitor GPU infrastructure, resource utilization, system health, and performance.

  • Troubleshoot infrastructure, GPU, operating system, networking, storage, and application deployment issues.

  • Perform infrastructure upgrades, configuration changes, patching, and maintenance.

  • Support scaling and provisioning of additional GPU compute resources as required.

  • Implement monitoring, logging, alerting, and operational processes.

  • Work with development, AI/ML, platform, and infrastructure teams to support GPU-based applications.

  • Create and maintain technical documentation, setup guides, deployment procedures, and troubleshooting documentation.

  • Follow infrastructure security, access-control, and operational best practices.

Experience

  • 4 – 10 years of overall IT experience.

  • 4+ years of hands-on experience in DevOps, SRE, or infrastructure engineering.

  • 2+ years of hands-on experience working on GPU environments.

  • Candidates with strong hands-on experience in GPU infrastructure setup and operations will be preferred.

  • Must be willing to work onsite from Chennai (candidates from other locations must be open to relocation).

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