NVIDIA

1 month ago

Senior Systems Software Engineer, Kubernetes Node Lifecycle - DGX Cloud

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Senior Systems Software Engineer to own the Kubernetes node lifecycle for DGX Cloud, including CAPI provider development, BYON workflows, OS image build/deployment, nodepool management, and security/compliance gating. You will ensure scalable node provisioning across DGX Cloud and NCP, partner with CNCF upstream projects, and contribute to CI/CD pipelines for hyperscale Kubernetes environments.

Location: Santa Clara, Seattle

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Direct the building and refinement of CAPI providers for NVIDIA Kubernetes Engine, maintaining steady, consistent, and scalable node provisioning across DGX Cloud and NCP environments.
•Develop and maintain bring-your-own-node workflows that allow customers to integrate different NVIDIA hardware into NKE clusters while ensuring high operational consistency.
•Coordinate OS image generation, packaging, deployment, and update processes for NKE nodes, ensuring images are tuned for NVIDIA GPU workloads and meet security/compliance criteria.
•Develop and sustain node image hardening pipelines with CIS benchmarks, automated CVE remediation, and promotion gates tied to security posture.
•Develop and maintain automated test suites for node images to verify Kubernetes version compatibility and hardware configurations, enabling pre-production validation through CI/CD.

Key Requirements

•8 years of experience with a background in systems software, cloud infrastructure, or Kubernetes node engineering.
•Bachelor’s or Master’s degree in Engineering (Electrical, Computer Engineering, Computer Science) or equivalent experience.
•Deep expertise in Cluster API (CAPI), including provider development and full machine lifecycle from provisioning to deletion.
•Extensive experience with OS image build pipelines, node image packaging, and delivery systems for Kubernetes nodes (for example image-builder, containerd, cloud-init, packer).
•Proficiency in Golang and/or Python, and hands-on experience with at least one major public cloud provider (GCP, AWS, Azure, OCI or equivalent).

Experience:8+ yearsCloud infrastructureKubernetesHyperscaleAIDGX Cloud

Education:Bachelor's

Skills:KubernetesCAPIImage-builderContainerdCloud-initPackerGolangPython

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: 4.3

Website LinkedIn Glassdoor

Loading job details...

Preparing the role view and application actions.

NVIDIA

1 month ago

Senior Systems Software Engineer, Kubernetes Node Lifecycle - DGX Cloud

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: Santa Clara, Seattle

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Direct the building and refinement of CAPI providers for NVIDIA Kubernetes Engine, maintaining steady, consistent, and scalable node provisioning across DGX Cloud and NCP environments.
•Develop and maintain bring-your-own-node workflows that allow customers to integrate different NVIDIA hardware into NKE clusters while ensuring high operational consistency.
•Coordinate OS image generation, packaging, deployment, and update processes for NKE nodes, ensuring images are tuned for NVIDIA GPU workloads and meet security/compliance criteria.
•Develop and sustain node image hardening pipelines with CIS benchmarks, automated CVE remediation, and promotion gates tied to security posture.
•Develop and maintain automated test suites for node images to verify Kubernetes version compatibility and hardware configurations, enabling pre-production validation through CI/CD.

Key Requirements

•8 years of experience with a background in systems software, cloud infrastructure, or Kubernetes node engineering.
•Bachelor’s or Master’s degree in Engineering (Electrical, Computer Engineering, Computer Science) or equivalent experience.
•Deep expertise in Cluster API (CAPI), including provider development and full machine lifecycle from provisioning to deletion.
•Extensive experience with OS image build pipelines, node image packaging, and delivery systems for Kubernetes nodes (for example image-builder, containerd, cloud-init, packer).
•Proficiency in Golang and/or Python, and hands-on experience with at least one major public cloud provider (GCP, AWS, Azure, OCI or equivalent).

Experience:8+ yearsCloud infrastructureKubernetesHyperscaleAIDGX Cloud

Education:Bachelor's

Skills:KubernetesCAPIImage-builderContainerdCloud-initPackerGolangPython

Company Brief

NVIDIA

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: 4.3

Website LinkedIn Glassdoor