This role pays more than
87%
of similar roles. Most pay
$144,350–$228,950
— the shaded band above.
At the midpoint, this role pays about
$236k
versus about
$187k
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
896 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 876 roles with salary data.
Senior Systems Software Engineer, Kubernetes Node Lifecycle - DGX Cloud is a technical role within the DGX Cloud division focused on managing the node layer of the NVIDIA Kubernetes Engine. The engineer will build and refine Cluster API providers, develop bring-your-own-node workflows for diverse hardware integration, and manage OS image generation, packaging, and hardening pipelines to meet security compliance. Day-to-day responsibilities include managing nodepool lifecycles at scale, resolving production faults related to kubelet operations or driver packaging, and collaborating with upstream communities like the CNCF. The role requires expertise in Golang, Python, and tools such as containerd, cloud-init, and packer. This position addresses the technical challenge of maintaining cluster reliability for frontier AI workloads by ensuring consistent node provisioning and automated testing across various Kubernetes versions and hardware configurations.
Remote (Santa Clara, CA)+29 days ago
$184,000–$287,500
Go
C
Kubernetes
Container Orchestration
Linux
Distributed Systems
Cloud Computing
K8s Operator Framework
Container Device Interface (CDI)
Dynamic Resource Allocation (DRA)
CNCF
Data Structures
Algorithms
Systems Programming