GPU-Driven AI Infrastructure & Platform Engineer

United States Digital Space LLC

United States

Remote

USD 120,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Competitive compensation package
Professional development and training
Conferences and working groups
Team events

Job summary

United States Digital Space LLC is establishing an Americas-based AI Infrastructure & Platform Operations unit dedicated to the management of expansive AI ecosystems utilizing NVIDIA GPU acceleration, high-speed interconnects, Kubernetes, and bleeding-edge platform frameworks.

This team maintains the reliability, efficiency, and architectural integrity of vital AI service platforms across a global datacenter footprint.

Qualifications

  • 3+ years of relevant infrastructure operations experience.

Responsibilities

  • Monitor, operate, and support production AI infrastructure platforms.
  • Investigate and resolve infrastructure, networking, hardware, and platform-related incidents.
  • Support NVIDIA GPU infrastructure and platform services.
  • Monitor and troubleshoot Kubernetes-based environments.
  • Investigate performance, availability, and reliability issues across infrastructure and platform components.
  • Collaborate with engineering teams, hardware vendors, Data Center personnel, and service delivery teams to resolve technical issues.
  • Participate in incident response, root cause analysis, and operational improvement activities.
  • Contribute to improvements in monitoring, observability, automation, and operational processes.
  • Maintain operational documentation, runbooks, and knowledge articles.

Job description

United States Digital Space LLC is establishing an Americas-based AI Infrastructure & Platform Operations unit dedicated to the management of expansive AI ecosystems utilizing NVIDIA GPU acceleration, high-speed interconnects, Kubernetes, and bleeding-edge platform frameworks.

This team maintains the reliability, efficiency, and architectural integrity of vital AI service platforms across a global datacenter footprint.

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