Senior Kubernetes Runtime & Release Engineer — GPU Cloud

NVIDIA Corporation

Kansas

On-site

USD 184,000 - 357,000

Full time

8 days ago
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Job summary

NVIDIA Corporation is hiring for roles in the DGX Cloud Kubernetes Runtime & Release team to enable GPU clusters across public clouds and specialized providers. You’ll work across Runtime, Release Engineering, and Provider Integration, focusing on Go-based production infrastructure and Kubernetes integrations.

The team ships controller-driven automation, validation pipelines, and provider integrations for new silicon and cloud platforms.

Qualifications

  • 6+ years building production infrastructure software or distributed systems.
  • Strong programming skills in Go or another language to build production systems, with willingness to work primarily in Go.
  • Kubernetes experience and depth in at least one area: controllers and operators, release automation, test and validation systems, or cloud integration.
  • Experience delivering engineering projects, diagnosing complex failures, and collaborating across teams.

Responsibilities

  • Build Go controllers and APIs to install, upgrade, and validate GPU cluster software; evolve Helm and Argo CD delivery toward controller-driven automation.
  • Build validation pipelines that inform release decisions across providers and GPU platforms; optimize GPU capacity allocation across validation runs.
  • Integrate new providers and GPU hardware into production, turning initial provisioning, upgrade, and checks into repeatable automation.

Skills

Go
Kubernetes
Distributed systems
Collaboration across teams

Education

BS in Computer Science or Engineering
MS in Computer Science or Engineering

Tools

Argo CD
Helm
Controller-runtime

Job description

NVIDIA Corporation is hiring for roles in the DGX Cloud Kubernetes Runtime & Release team to enable GPU clusters across public clouds and specialized providers. You’ll work across Runtime, Release Engineering, and Provider Integration, focusing on Go-based production infrastructure and Kubernetes integrations.

The team ships controller-driven automation, validation pipelines, and provider integrations for new silicon and cloud platforms.

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