GPU AI Infrastructure Manager & Mentor

Oracle Corporation

Nashville (TN)

On-site

USD 150,000 - 190,000

Full time

10 days ago
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Job summary

Oracle Corporation seeks a Manager to lead a class of early‑career Infrastructure Engineers for OCI AI/ML workloads. You will mentor engineers, shape onboarding for GPU clusters, and collaborate across OCI teams, customers, and sales to deliver reliable cloud infrastructure. Strong leadership and cloud ops experience are essential.

The role emphasizes hands-on guidance, problem solving, and scalable processes to enable engineers to independently support AI/ML workloads on OCI.

Qualifications

  • This role requires leading or mentoring engineers in a cloud infra setting.
  • Experience designing and operating distributed, customer-facing cloud infrastructure.
  • Strong communication and collaboration skills for coaching juniors.

Responsibilities

  • Lead, mentor, and develop a class of early-career engineers with clear growth plans.
  • Design onboarding programs for GPU cluster deployment and related tooling.
  • Provide coaching, feedback, and stretch assignments to build judgement.
  • Build cross-functional partnerships with OCI Services, customers, and sales.
  • Document designs, runbooks, and procedures for repeatable practices.

Skills

Leadership
Mentoring
Communication
Cloud infrastructure
Distributed systems
On-call / troubleshooting
Programming
Linux administration
Automation tooling
Networking & security
Stakeholder management

Education

BS or MS degree or equivalent experience

Tools

Ansible
Terraform
Python
Docker
Kubernetes

Job description

Oracle Corporation seeks a Manager to lead a class of early‑career Infrastructure Engineers for OCI AI/ML workloads. You will mentor engineers, shape onboarding for GPU clusters, and collaborate across OCI teams, customers, and sales to deliver reliable cloud infrastructure. Strong leadership and cloud ops experience are essential.

The role emphasizes hands-on guidance, problem solving, and scalable processes to enable engineers to independently support AI/ML workloads on OCI.

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