Senior Cloud-Native Engineer for DGX & Kubernetes

NVIDIA Corporation; Seattle (WA); On-site; USD 152,000 - 288,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation in Seattle seeks a senior systems software engineer to simplify deployment and monitoring of GPU/DPU accelerated apps in cloud-native environments. You will enable GPUs/DPUs as first-class resources in Kubernetes, automate builds and releases, and collaborate across NVIDIA to deliver robust distributed systems.

Required are 5+ years in systems programming with Go, Kubernetes, and Unix/Linux internals, plus automation with Ansible and Terraform.

Qualifications

• BS/MS in Computer Science or related field (or equivalent experience).
• 5+ years of relevant work experience.
• Expert-level knowledge in systems programming languages (Go) with data structures & algorithms.
• Strong Kubernetes and container technology experience.
• Experience with Unix/Linux kernel internals and automation with Ansible/Terraform.

Responsibilities

• Be part of a small, dynamic team exploring ways to simplify deployment, monitoring, and orchestration of GPU/ DPU accelerated apps.
• Enable GPUs/ DPUs as first-class resources in Kubernetes and cloud-native ecosystems.
• Collaborate with NVIDIA engineers to ensure seamless integration of software across distributed systems.
• Automate build, test, integration, and release processes for cloud-native applications.
• Multitask effectively across projects, adapting to evolving priorities.

Skills

Go

Kubernetes

Linux kernel

Ansible

Terraform

CI/CD

Cloud computing

Distributed systems

Data structures

Observability

Education

BS/MS in Computer Science or related field

Tools

Gitlab

Argo

Flux

Job description

NVIDIA Corporation in Seattle seeks a senior systems software engineer to simplify deployment and monitoring of GPU/DPU accelerated apps in cloud-native environments. You will enable GPUs/DPUs as first-class resources in Kubernetes, automate builds and releases, and collaborate across NVIDIA to deliver robust distributed systems.

Required are 5+ years in systems programming with Go, Kubernetes, and Unix/Linux internals, plus automation with Ansible and Terraform.