Principal Software Engineer - DGX Cloud

NVIDIA
Seattle, Santa Clara
Workplace: RemoteFull timeUSD 272,000 - 431,250 annuallyFunction: Software EngineeringExperience: 15+ yearsEducation: bachelorsSkills: []

Lead and build the DSX Kubernetes Fleet platform in the DGX Cloud organization, designing and developing software to manage and automate large-scale GPU and DPU Kubernetes clusters. Own your code end-to-end, translate deployment intent into production-ready AI infrastructure management, and improve cloud-native workflows for provisioning, upgrades, and decommissioning. Collaborate across NVIDIA to integrate with engineering teams while optimizing CI/CD, reliability, performance, security, and deployment safety.

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FursaFursa
NVIDIA
NVIDIA
3 days ago

Principal Software Engineer - DGX Cloud

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Source: Company careers pageValidated by: Fursa AI
Last checked: 23 hours agoStatus: Live

Job Summary

Lead and build the DSX Kubernetes Fleet platform in the DGX Cloud organization, designing and developing software to manage and automate large-scale GPU and DPU Kubernetes clusters. Own your code end-to-end, translate deployment intent into production-ready AI infrastructure management, and improve cloud-native workflows for provisioning, upgrades, and decommissioning. Collaborate across NVIDIA to integrate with engineering teams while optimizing CI/CD, reliability, performance, security, and deployment safety.
Location: Seattle, Santa Clara
Workplace: Remote
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Design and develop software to manage a fleet of GPU and DPU Kubernetes clusters.
  • •Build and improve cloud-native technologies to support NVIDIA accelerators in Kubernetes environments.
  • •Create APIs and workflows that turn deployment intent into production-ready AI infrastructure management.
  • •Automate and optimize build, test, integration, and release processes for cloud-native applications.
  • •Collaborate across NVIDIA to ensure seamless integration with engineering teams and systems.

Pay and Benefits

Salary: USD 272,000 - 431,250 annually
Equity and Bonus:Equity

Key Requirements

  • •BS/MS in Computer Science or related field (or equivalent experience).
  • •15+ years of proven work experience in large-scale environments.
  • •Expert-level systems programming in Go and/or C, with strong data structures and algorithms.
  • •Strong understanding of Kubernetes/container technology and container orchestration systems.
  • •In-depth Linux/Unix kernel internals knowledge and hands-on automation with modern infrastructure tools and continuous deployment systems.
Experience:15+ yearsCloud computingDistributed softwareCloud-nativeKubernetesAI infrastructure
Education:Bachelor's in Computer Science
Tech Stack:GoCLinuxUnixKubernetesContainersGPUDPUCI/CDGitlabArgoFluxContinuous deployment

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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