Kubernetes & GPU Infra Architect for Scalable AI Clusters

NVIDIA Corporation

Santa Clara (CA)

Híbrido

USD 170.000 - 250.000

Jornada completa

14 días+

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Descripción de la vacante

NVIDIA is hiring software engineers with Kubernetes expertise to help scale its DGX Cloud GPU infrastructure for AI workloads. You will work on production systems, GPU resource scheduling, and cluster health monitoring.

We seek 5+ years in a software engineering role, strong Kubernetes API experience, and a BS in a technical field. Expect collaboration across teams and a fast-paced, challenging environment aimed at reliability and performance.

Formación

  • 5+ years in a software engineering role on large-scale production systems.
  • Proven experience with Kubernetes APIs and frameworks, not just cluster ops.
  • BS in Computer Science, Engineering, Physics, Mathematics or related field; equivalent experience.

Responsabilidades

  • Help scale NVIDIA's DGX Cloud production systems to support large GPU clusters for AI workloads.
  • Develop monitoring and health management to ensure reliability, availability, and performance.
  • Collaborate with multiple teams to run production AI clusters reliably and efficiently; improve incidents.

Conocimientos

Kubernetes
Cluster operations
Operator development
Node health monitoring
GPU resource scheduling
Go
Python

Educación

BS in Computer Science, Engineering, Physics, Mathematics or related field

Herramientas

Kubernetes APIs
Go language
Python

Descripción del empleo

NVIDIA is hiring software engineers with Kubernetes expertise to help scale its DGX Cloud GPU infrastructure for AI workloads. You will work on production systems, GPU resource scheduling, and cluster health monitoring.

We seek 5+ years in a software engineering role, strong Kubernetes API experience, and a BS in a technical field. Expect collaboration across teams and a fast-paced, challenging environment aimed at reliability and performance.

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