Senior AI Infrastructure Architect

Nvidia

Varese

In loco

EUR 120.000 - 180.000

Tempo pieno

5 giorni fa
Candidati tra i primi
Generatore di candidature

Trasforma questo ruolo in un colloquio — un curriculum e una lettera di presentazione personalizzati in base a ciò che cerca questo datore di lavoro.

Supera i filtri ATS

Descrizione del lavoro

Nvidia seeks a Senior AI Compute Engineer to deploy and manage AI infrastructure for enterprise customers, leading projects from planning to implementation in a fast-paced environment.

You will engage with customers, partners and internal teams, design large-scale AI factory deployments, and create handover docs to enable seamless rollout. Strong English and 8+ years in data centers are required.

Competenze

  • 8+ years in depth support and deployment in data centers.
  • Linux OS administration and related tasks (package management, boot procedures, performance/logging).
  • Data center network products and protocols experience.
  • Data center monitoring solutions experience.
  • Strong interpersonal, verbal and written English skills.

Mansioni

  • Deploy, manage, and maintain AI infrastructure for customers.
  • Serve as domain expert from planning through implementation with customers.
  • Prepare handover documentation and conduct knowledge transfers.
  • Provide feedback to internal teams (bugs, workarounds, improvements).

Conoscenze

Interpersonal skills
Problem solving
Organization
Multitasking

Formazione

Bachelor in Computer Science / Electrical Engineering / related field or equivalent

Strumenti

Linux OS administration
Data center networking
Data center monitoring solutions

Descrizione del lavoro

Nvidia seeks a Senior AI Compute Engineer to deploy and manage AI infrastructure for enterprise customers, leading projects from planning to implementation in a fast-paced environment.

You will engage with customers, partners and internal teams, design large-scale AI factory deployments, and create handover docs to enable seamless rollout. Strong English and 8+ years in data centers are required.

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Diversity and inclusion
Global exposure and collaboration
Work with cutting-edge AI infra
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