Senior Software Engineer, DGX Cloud Kubernetes & AI Infra

Thomas To; Seattle (WA); On-site; USD 184,000 - 357,000; Full time

Job summary

NVIDIA's DSX Kubernetes Fleet team in DGX Cloud is seeking a senior engineer to design and operate GPU/DPU Kubernetes clusters at scale. You will build automation, CI/CD, and deployment safety, collaborating across NVIDIA teams to enable AI factories with secure, reliable infrastructure.

We value deep systems programming skills (Go and C), Kubernetes expertise, and experience with Linux kernel internals, cloud computing, and distributed software design. Equity and benefits included.

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 Go and C with a solid grasp of Data Structures and Algorithms.
• Strong understanding of Kubernetes and container technology.
• In-depth knowledge of Unix/Linux kernel internals.
• Hands-on automation experience with modern infrastructure tools.
• Proven experience in setting up, maintaining, and automating CI/CD pipelines.
• Strong background in Cloud Computing and distributed software design.
• Understanding of performance, security, and reliability in distributed systems.

Responsibilities

• Design and develop software to manage a fleet of Kubernetes clusters for GPUs/DPUs.
• Assist in simplifying deployment, monitoring, and operations of GPU-enabled apps.
• Collaborate with NVIDIA teams to ensure seamless integration of your software.
• Automate and optimize build, test, integration, and release processes for cloud-native apps.
• Maintain high standards of reliability and security in distributed systems.
• Multitask across projects with evolving priorities.

Skills

Go

C

Kubernetes

Linux

Cloud computing

CI/CD

Algorithms

Automation

Education

BS/MS in Computer Science or related field

Tools

GitLab

Argo

Flux

CI/CD tooling

Job description

NVIDIA's DSX Kubernetes Fleet team in DGX Cloud is seeking a senior engineer to design and operate GPU/DPU Kubernetes clusters at scale. You will build automation, CI/CD, and deployment safety, collaborating across NVIDIA teams to enable AI factories with secure, reliable infrastructure.

We value deep systems programming skills (Go and C), Kubernetes expertise, and experience with Linux kernel internals, cloud computing, and distributed software design. Equity and benefits included.