Senior Software Engineer — AI Kubernetes & GPU Cloud

NVIDIA; Santa Clara (CA); On-site; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Comprehensive benefits

Competitive salary

Job summary

NVIDIA’s DSX Kubernetes Fleet team within DGX Cloud seeks a seasoned systems programmer to design, build, and automate software for managing a fleet of Kubernetes clusters for GPUs and DPUs. You will collaborate across NVIDIA to integrate cloud-native tooling, improve deployment safety, and optimize build/test/release pipelines.

Ideal candidates have 10+ years in large-scale environments, strong Go/C skills, and deep Kubernetes/Linux knowledge, with a passion for cloud infrastructure and

Qualifications

• BS/MS in Computer Science or related field (or equivalent experience).
• 10+ years of proven work experience in large scale environments.
• Expert-level knowledge in systems programming languages (Go, C) with solid data structures/algorithms.
• Strong understanding of Kubernetes and container technology.
• In-depth knowledge of Unix/Linux kernel internals.
• Hands-on automation experience with modern infrastructure tools.
• Experience in setting up, maintaining, and automating CI/CD systems.
• Strong background in cloud computing and distributed software design.

Responsibilities

• Design and develop software for managing a fleet of Kubernetes clusters for GPUs and DPUs.
• Automate and optimize build, test, integration, and release processes for cloud-native applications.
• Collaborate with engineering teams across NVIDIA for seamless integration.
• Be part of a small, dynamic team exploring deployment and monitoring of GPU/DPU apps.
• Work on reducing complexity and improving deployment safety at scale.

Skills

Go

C

Kubernetes

Unix/Linux

Automation

Cloud Computing

Distributed Systems

CI/CD

Education

BS in Computer Science or related field

MS in Computer Science or related field

Tools

GitLab

Argo

Flux

Job description

NVIDIA’s DSX Kubernetes Fleet team within DGX Cloud seeks a seasoned systems programmer to design, build, and automate software for managing a fleet of Kubernetes clusters for GPUs and DPUs. You will collaborate across NVIDIA to integrate cloud-native tooling, improve deployment safety, and optimize build/test/release pipelines.

Ideal candidates have 10+ years in large-scale environments, strong Go/C skills, and deep Kubernetes/Linux knowledge, with a passion for cloud infrastructure and