Senior Software Engineer - DGX Cloud

NVIDIA
Seattle, Santa Clara
Workplace: RemoteFull timeUSD 184,000 - 356,500 annuallyFunction: Software EngineeringExperience: 10+ yearsEducation: bachelorsSkills: ["Collaboration","Multitasking"]

Join the DSX Kubernetes Fleet team within DGX Cloud to design and build automation and APIs for managing GPU/DPU Kubernetes cluster fleets. You’ll develop software that turns deployment intent into production-ready infrastructure, covering the full lifecycle from provisioning and upgrades to decommissioning. Work with cloud platform engineers, architects, and SREs to improve cloud-native tooling, CI/CD, continuous deployment, and the reliability, performance, resiliency, and security of distributed systems.

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FursaFursa
NVIDIA
NVIDIA
3 days ago

Senior Software Engineer - DGX Cloud

✓ Verified Job

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

Job Summary

Join the DSX Kubernetes Fleet team within DGX Cloud to design and build automation and APIs for managing GPU/DPU Kubernetes cluster fleets. You’ll develop software that turns deployment intent into production-ready infrastructure, covering the full lifecycle from provisioning and upgrades to decommissioning. Work with cloud platform engineers, architects, and SREs to improve cloud-native tooling, CI/CD, continuous deployment, and the reliability, performance, resiliency, and security of distributed systems.
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 APIs and workflows that translate deployment intent into production-ready AI infrastructure management.
  • •Own the code end-to-end across the full lifecycle of AI Factory Kubernetes clusters (provisioning, upgrades, decommissioning).
  • •Automate and optimize build, test, integration, and release processes for cloud-native applications.
  • •Collaborate with engineering teams to ensure seamless integration and improve cloud-native technologies for NVIDIA accelerators in Kubernetes.

Pay and Benefits

Salary: USD 184,000 - 356,500 annually
Equity and Bonus:Equity

Key Requirements

  • •BS/MS in Computer Science or related field (or equivalent experience).
  • •10+ years of proven work experience in large scale environments.
  • •Expert-level systems programming with Go and/or C, with strong data structures and algorithms.
  • •Strong understanding of Kubernetes and container technologies.
  • •In-depth knowledge and hands-on experience with Linux/Unix kernel internals and automation for CI/CD and continuous deployment.
Experience:10+ yearsAI/MLCloud computingKubernetesDistributed systemsGPU computing
Education:Bachelor's in Computer Science or related field
Skills:CollaborationMultitasking
Tech Stack:KubernetesGoCLinuxUnixUnix kernel internalsContainersGPUDPUAPIsCI/CDContinuous deploymentGitLabArgoFluxCloud computingDistributed software design

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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