Principal Software Engineer - DGX Cloud Kubernetes Runtime Team jobs in United States
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NVIDIA · 21 hours ago

Principal Software Engineer - DGX Cloud Kubernetes Runtime Team

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. As a Principal Software Engineer on the DGX Cloud Kubernetes Runtime team, you will design and build automation systems for managing GPU-accelerated Kubernetes runtime distributions, ensuring reliable infrastructure for AI researchers and developers.

AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
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Growth Opportunities
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H1B Sponsor Likelynote

Responsibilities

Design and implement the runtime controller system that manages the lifecycle of runtime packages across thousands of Kubernetes clusters without manual pipeline intervention
Build and maintain the runtime builder that packages, validates, and distributes GPU operators, DRA drivers, network components, and other accelerated compute runtime packages
Develop Kubernetes controllers, CRDs, and operators that automate runtime installation, upgrade, and rollback operations with API driven workflows
Create expansion rules and component management systems that enable flexible runtime composition across different cloud providers and GPU architectures
Work with internal teams to migrate from GitLab pipeline-based deployments to fully automated, controller powered runtime management

Qualification

KubernetesGoAutomation systemsHelmKustomizeGPU operatorsAPI designVersioningBackward compatibilitySupply chain security

Required

Experience building production Kubernetes systems with deep expertise in controllers, operators, and CustomResourceDefinitions
Strong proficiency in Go and experience building scalable Go services that manage complex distributed systems
Hands-on experience with Helm, Kustomize, and managing Kubernetes manifest packaging and templating at scale
Deep understanding of Kubernetes architecture including API machinery, admission controllers, and resource lifecycle management
Demonstrated ability to design and implement automation systems that replace manual processes with reliable, self-service tooling
Masters and/or PhD in Computer Science, or equivalent experience
15+ years of professional experience, with at least 4 years experience with Kubernetes development

Preferred

Experience building multi-tenant platform services with focus on API design, versioning, and backward compatibility
Deep familiarity with OCI registries, artifact signing, SBOM generation, and supply chain security practices
Experience working with GPU operators, device plugins, or other hardware acceleration components in Kubernetes
Track record of migrating legacy systems to modern, automated platforms while maintaining zero-downtime operations
Contributions to upstream Kubernetes projects or experience extending Kubernetes API machinery

Benefits

Equity
Benefits

Company

NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.

H1B Sponsorship

NVIDIA has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)

Funding

Current Stage
Public Company
Total Funding
$4.09B
Key Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity

Leadership Team

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Jensen Huang
Founder and CEO
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Michael Kagan
Chief Technology Officer
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Company data provided by crunchbase