Senior Systems Software Engineer, Kubernetes Node Lifecycle - DGX Cloud

Nvidia

Quick summary

Work type
On-site
Location
Santa Clara, CASeattle, WA
Salary
$184,000–$287,500 / yr
Posted
6 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $199k
This role $236k
$147k most similar roles pay here $303k

This role pays more than 80% of similar roles. Most pay $162,000–$235,750 — the shaded band above. At the midpoint, this role pays about $236k versus about $199k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 980 open roles on FindRole.

Listed pay typically runs $168,000–$270,250 across 966 roles with salary data.

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At a glance

TL;DR · Senior Systems Software Engineer, Kubernetes Node Lifecycle - DGX Cloud

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As a Senior Systems Software Engineer at NVIDIA’s DGX Cloud division, you will join a team dedicated to advancing AI computing solutions on a global scale. Your primary responsibilities include directing the development of CAPI providers for NVIDIA Kubernetes Engine (NKE), ensuring consistent node provisioning across diverse environments, and maintaining OS image build pipelines that meet enterprise security standards. You will also develop automated test suites and manage large-scale nodepool lifecycles, addressing production issues and collaborating with upstream communities to set industry standards. The role requires deep expertise in Kubernetes node engineering, Cluster API, and cloud infrastructure, along with proficiency in Golang or Python and experience with major public clouds. Your work will significantly impact NVIDIA’s ability to support internal researchers and enable NCPs through cutting-edge technology solutions.

Skills

Kubernetes CAPI Golang Python AWS Azure OCI Cluster_API kubelet OS_image_build_pipelines node_image_packaging cloud-init packer bring-your-own-node image-builder containerd CI/CD vulnerability_scanning patch_automation CIS_benchmarks SBOM_generation Karpenter Flatcar Bottlerocket immutable_OS_images supply_chain_security node_image_signing provenance_attestation automated_CVE_remediation

What you'll do

  • Direct the building and refinement of CAPI providers for NVIDIA Kubernetes Engine.
  • Develop bring-your-own-node workflows for integrating diverse NVIDIA hardware into NKE clusters.
  • Coordinate OS image generation, packaging, deployment, and update processes for NKE nodes.
  • Develop automated test suites for node images to verify accuracy across Kubernetes versions.
  • Handle nodepool lifecycle at scale, including provisioning, upgrades, and seamless node replacement.
  • Examine and resolve underlying causes of node-layer faults in production NKE clusters.
  • Partner with upstream communities to establish node provisioning and lifecycle standards.

What we're looking for

  • 8+ years of experience in systems software, cloud infrastructure, or Kubernetes node engineering.
  • Deep expertise in Cluster API (CAPI) for full machine lifecycle management.
  • Extensive experience with OS image build pipelines and delivery systems for Kubernetes nodes.
  • Practical experience with bring-your-own-node models and large-scale nodepool lifecycle management.
  • Strong understanding of kubelet configuration and the Kubernetes node registration lifecycle.
  • Experience with node image security, including vulnerability scanning and compliance gating.

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