GPU Infrastructure engineer

Seeking a Software Engineer with expertise in GPU Infrastructure,

Ubuntu/Linux OS, and automation for image creation, optimization, and

management across cloud platforms. You will:

Design & automate image lifecycles for GPU Bare Metal and VM images.

Optimize images for security, performance, and efficiency.

Collaborate with hardware, GPU, and firmware engineering teams.

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Key Responsibilities:

Stakeholder Coordination: Work on GPU image packaging, testing,

firmware versioning, and driver compatibility (Nvidia/AMD –

H100/H200/MI300x/MI325x).

Automation & Scripting: Use Packer, Ansible, Terraform, Python, and

Shell scripting for image deployment automation.

Security & Compliance:

Follow best practices (CIS benchmarks, GDPR, HIPAA).

Handle hardening, patching, and compliance.

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Additional Responsibilities:

Optimization: Improve machine image performance, boot time, and size

to reduce costs and improve scalability.

CI/CD Integration: Use Jenkins, GitHub Actions, GitLab CI for

automating image creation pipelines.

Versioning & Documentation: Maintain version control, document configs

and best practices.

Monitoring & Troubleshooting: Monitor image deployment performance and

troubleshoot cloud runtime issues.

Continuous Improvement: Stay updated with cloud tech trends in image

building and containerization.

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Qualifications (Required):

Experience with Linux OS image building.

Understanding of GPU infrastructure & testing (NCCL, RCCL).

Hands-on with image tools: Packer, cloud-init, Ansible, Python, Shell scripting.

Familiar with CI/CD tools: Jenkins, GitHub Actions, GitLab CI.

Security knowledge in image creation (CVE scanning, secrets

management, hardening).

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Preferred:

Developer experience with AI/ML environments.

Knowledge of Immutable Infrastructure and Golden Image pipelines.

Experience with Chef or Puppet for config management.