Senior AI Infrastructure Engineer

NVIDIA

United States

Remote

USD 120,000 - 180,000

Full time

14 days+
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Job summary

NVIDIA is seeking an AI Computer Engineer to join its NVIDIA Infrastructure Specialists (NVIS) team. You will deploy, manage, and expand AI infrastructure for cutting-edge data center and AI factory projects, collaborating closely with customers, partners, and internal teams.

The role requires 8+ years in data centers, Linux admin, networking, and strong communication. It offers opportunities to influence large-scale deployments and work on the world’s fastest AI systems.

Qualifications

  • Bachelor’s degree in CS, EE, or related field, or equivalent experience.
  • 8+ years providing in-depth support and deployment services in data centers.
  • Experience with Linux OS administration, process management, kernel tuning.
  • Experience with data center network products and protocols.
  • Strong English verbal and written communication.

Responsibilities

  • Deploy, manage, and maintain AI infrastructure for customers.
  • Be the domain expert with customers during planning calls through implementation.
  • Handover-related documentation and knowledge transfers for rollout.
  • Provide feedback to internal teams, bug openings, workarounds, and improvements.

Skills

Linux administration
Customer-facing communication
Networking
Scripting/Automation
English communication
Project management

Education

Bachelor’s degree in computer science or electrical engineering or related field

Tools

Kubernetes
Data center monitoring solutions
Data center networking products

Job description

NVIDIA is seeking an AI Computer Engineer to join its NVIDIA Infrastructure Specialists (NVIS) team. You will deploy, manage, and expand AI infrastructure for cutting-edge data center and AI factory projects, collaborating closely with customers, partners, and internal teams.

The role requires 8+ years in data centers, Linux admin, networking, and strong communication. It offers opportunities to influence large-scale deployments and work on the world’s fastest AI systems.

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