Senior Cloud Kubernetes Engineer - GPU AI Infra

NVIDIA AI; Seattle (WA); On-site; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Competitive salary

Job summary

NVIDIA is seeking a senior software engineer to join the DSX Kubernetes Fleet on the DGX Cloud team in Seattle. You will design and implement tooling to manage a fleet of GPU and DPU accelerated Kubernetes clusters, enabling scalable AI infrastructure for top teams.

You will collaborate with platform engineers across NVIDIA, automate build, test, and deployment processes, and contribute to cloud-native technologies that power AI factories at scale.

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 a solid grasp of Data Structures and Algorithms.
• Strong understanding of Container Orchestration Systems (Kubernetes) and Container Technology.
• In-depth knowledge and experience with Unix/Unix-like kernel internals, particularly Linux.
• Hands-on automation experience with modern infrastructure tools and technologies.
• Proven experience in setting up, maintaining, and automating continuous deployment systems.
• Strong background in Cloud Computing and Distributed Software design and development.
• Understanding of performance, security, and reliability in complex distributed systems.

Responsibilities

• Be part of a small, dynamic team exploring innovative ways to simplify the development, deployment, and monitoring of GPU and DPU accelerated applications.
• Design and develop software for managing a fleet of Kubernetes clusters for GPUs and DPUs.
• Join the core group working on Cloud Native technologies, improving NVIDIA accelerators in the Kubernetes environment.
• Collaborate with engineering teams across NVIDIA to ensure seamless integration of your software.
• Automate and optimize build, test, integration, and release processes for cloud-native applications.
• Efficiently multitask across different projects, addressing evolving priorities effectively.

Skills

Go

C

Kubernetes

Distributed systems

Linux

CI/CD

Automation

Cloud computing

Education

BS/MS in Computer Science

Tools

Gitlab

Argo

Flux

Job description

NVIDIA is seeking a senior software engineer to join the DSX Kubernetes Fleet on the DGX Cloud team in Seattle. You will design and implement tooling to manage a fleet of GPU and DPU accelerated Kubernetes clusters, enabling scalable AI infrastructure for top teams.

You will collaborate with platform engineers across NVIDIA, automate build, test, and deployment processes, and contribute to cloud-native technologies that power AI factories at scale.